systemshardening.comHardening real systems in production, for engineers who actually run them.https://systemshardening.github.io/Systems Hardening2026-04-22T00:00:00.000ZAdversarial Attacks on Embeddings: Poisoning Vector Stores and Manipulating Semantic Searchhttps://systemshardening.github.io/articles/ai-landscape/adversarial-embedding-attacks/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAdversarial Attacks on Embeddings: Poisoning Vector Stores and Manipulating Semantic Search
Problem
Embedding-based retrieval powers RAG pipelines, semantic search, recommendation systems, and...Agent-to-Agent Trust: Authentication, Delegation, and Capability Boundaries in Multi-Agent Systemshttps://systemshardening.github.io/articles/ai-landscape/agent-to-agent-trust/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAgent-to-Agent Trust: Authentication, Delegation, and Capability Boundaries in Multi-Agent Systems
Problem
Multi-agent systems are moving from research demos to production deployments. A coordinator...Sandboxing AI Agent Tool Use: Filesystem, Network, and Process Isolation for Autonomous Actionshttps://systemshardening.github.io/articles/ai-landscape/agent-tool-use-sandboxing/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSandboxing AI Agent Tool Use: Filesystem, Network, and Process Isolation for Autonomous Actions
Problem
AI agents execute tool calls on real infrastructure: writing files, running shell commands,...Verifying AI Agent Output: Deterministic Checks, Human-in-the-Loop Gates, and Rollback Safetyhttps://systemshardening.github.io/articles/ai-landscape/ai-agent-output-verification/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZVerifying AI Agent Output: Deterministic Checks, Human-in-the-Loop Gates, and Rollback Safety
Problem
AI agents generate infrastructure configurations, database migrations, deployment manifests, and...Using AI to Harden Systems: Automated Configuration Review and Remediationhttps://systemshardening.github.io/articles/ai-landscape/ai-assisted-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZUsing AI to Harden Systems: Automated Configuration Review and Remediation
Problem
Manual security review of infrastructure-as-code takes 2-4 hours per pull request for complex changes. A team...Hardening the AI Control Plane: Kill Switches, Rate Limits, and Human-in-the-Loop Gateshttps://systemshardening.github.io/articles/ai-landscape/ai-control-plane/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening the AI Control Plane: Kill Switches, Rate Limits, and Human-in-the-Loop Gates
Problem
AI agents with write access to production systems can execute 100+ infrastructure changes per minute. A...AI Credential Delegation: Short-Lived Tokens, Scope Narrowing, and Audit Trails for Agent Accesshttps://systemshardening.github.io/articles/ai-landscape/ai-credential-delegation/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI Credential Delegation: Short-Lived Tokens, Scope Narrowing, and Audit Trails for Agent Access
Problem
AI agents need credentials to do useful work: database passwords, API keys, Kubernetes service...Building an AI Governance Pipeline: Automated Checks from Training to Productionhttps://systemshardening.github.io/articles/ai-landscape/ai-governance-pipeline/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZBuilding an AI Governance Pipeline: Automated Checks from Training to Production
Problem
AI governance in most organisations is a manual process. A model is trained, someone writes a document, a...AI Incident Reporting: Detection, Classification, and Response Procedures for AI System Failureshttps://systemshardening.github.io/articles/ai-landscape/ai-incident-reporting/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI Incident Reporting: Detection, Classification, and Response Procedures for AI System Failures
Problem
Traditional incident response assumes failures are binary: the service is up or it is down, the...AI Model Cards in Production: Documenting Capabilities, Limitations, and Security Propertieshttps://systemshardening.github.io/articles/ai-landscape/ai-model-cards/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI Model Cards in Production: Documenting Capabilities, Limitations, and Security Properties
Problem
Every production AI model has boundaries: input domains where it performs well, edge cases where it...AI Supply Chain Attack Surface: Models, Datasets, and Inference Dependencieshttps://systemshardening.github.io/articles/ai-landscape/ai-supply-chain-attack-surface/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI Supply Chain Attack Surface: Models, Datasets, and Inference Dependencies
Problem
AI systems introduce a supply chain attack surface that traditional software security does not cover. The three new...AI-Powered Vulnerability Discovery: What Automated Code Analysis Means for Your Patch Cyclehttps://systemshardening.github.io/articles/ai-landscape/ai-vulnerability-discovery/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI-Powered Vulnerability Discovery: What Automated Code Analysis Means for Your Patch Cycle
Problem
AI models can now discover exploitable vulnerabilities in source code faster than human researchers....Algorithmic Auditing: Testing AI Systems for Bias, Fairness, and Safety Before Deploymenthttps://systemshardening.github.io/articles/ai-landscape/algorithmic-auditing/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAlgorithmic Auditing: Testing AI Systems for Bias, Fairness, and Safety Before Deployment
Problem
AI systems make decisions that affect people: who gets approved for a loan, whose resume gets...Auditing AI Actions at Scale: Building Tamper-Proof Logs for Non-Human Actorshttps://systemshardening.github.io/articles/ai-landscape/auditing-ai-actions/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAuditing AI Actions at Scale: Building Tamper-Proof Logs for Non-Human Actors
Problem
AI agents operate at machine speed, generating 10-100x the audit data of human operators. A single agent making 50...Detecting AI-Generated Attacks: Moving from Signatures to Behavioural Baselineshttps://systemshardening.github.io/articles/ai-landscape/detecting-ai-attacks/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZDetecting AI-Generated Attacks: Moving from Signatures to Behavioural Baselines
Problem
Signature-based detection (WAF CRS rules, static Falco rules, antivirus signatures) matches “known bad.”...EU AI Act Compliance for Infrastructure Teams: Risk Classification, Documentation, and Technical Controlshttps://systemshardening.github.io/articles/ai-landscape/eu-ai-act-compliance/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZEU AI Act Compliance for Infrastructure Teams: Risk Classification, Documentation, and Technical Controls
Problem
The EU AI Act entered into force in August 2024, with enforcement timelines staggered...LLM Jailbreak Defence: Detecting and Preventing System Prompt Bypasses in Productionhttps://systemshardening.github.io/articles/ai-landscape/llm-jailbreak-defence/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZLLM Jailbreak Defence: Detecting and Preventing System Prompt Bypasses in Production
Problem
LLM jailbreaks are inputs that cause a model to ignore its system prompt, safety training, or usage...Securing MCP Servers: Authentication, Tool Sandboxing, and Input Validation for Model Context Protocolhttps://systemshardening.github.io/articles/ai-landscape/mcp-server-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring MCP Servers: Authentication, Tool Sandboxing, and Input Validation for Model Context Protocol
Problem
The Model Context Protocol (MCP) gives AI agents structured access to tools: filesystem...Membership Inference Defence: Preventing Attackers from Determining Training Data Inclusionhttps://systemshardening.github.io/articles/ai-landscape/membership-inference-defence/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZMembership Inference Defence: Preventing Attackers from Determining Training Data Inclusion
Problem
Membership inference attacks determine whether a specific data record was used to train a model. An...Model Extraction Prevention: Detecting and Blocking Model Stealing Through API Querieshttps://systemshardening.github.io/articles/ai-landscape/model-extraction-prevention/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZModel Extraction Prevention: Detecting and Blocking Model Stealing Through API Queries
Problem
Model extraction (model stealing) is an attack where an adversary queries a production ML API...Securing AI Agents in Production: Tool-Use Boundaries, Credential Scoping, and Output Verificationhttps://systemshardening.github.io/articles/ai-landscape/securing-ai-agents/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring AI Agents in Production: Tool-Use Boundaries, Credential Scoping, and Output Verification
Problem
AI agents are being deployed with production tool access: shell execution, kubectl, terraform...Training Data Extraction Prevention: Stopping Models from Leaking Memorised Datahttps://systemshardening.github.io/articles/ai-landscape/training-data-extraction/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZTraining Data Extraction Prevention: Stopping Models from Leaking Memorised Data
Problem
Large language models memorise portions of their training data. Given the right prompt, a model will reproduce...Artifact Integrity Verification: Checksums, Signatures, and Transparency Logshttps://systemshardening.github.io/articles/cicd/artifact-integrity/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZArtifact Integrity Verification: Checksums, Signatures, and Transparency Logs
Problem
Build artifacts pass through multiple stages between source code and production deployment. Source is compiled in...Secret Management in CI/CD Pipelines: Vault, SOPS, and OIDC Federationhttps://systemshardening.github.io/articles/cicd/cicd-secret-management/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecret Management in CI/CD Pipelines: Vault, SOPS, and OIDC Federation
Problem
Static credentials in CI/CD pipelines are the leading cause of secret sprawl. Teams store long-lived API keys, database...Container Registry Security: Access Control, Vulnerability Scanning, and Garbage Collectionhttps://systemshardening.github.io/articles/cicd/container-registry-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZContainer Registry Security: Access Control, Vulnerability Scanning, and Garbage Collection
Problem
Container registries store the most sensitive artifacts in your deployment pipeline. Every image...Dependency Pinning and Lockfile Integrity: Preventing Supply Chain Attacks in CIhttps://systemshardening.github.io/articles/cicd/dependency-pinning/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZDependency Pinning and Lockfile Integrity: Preventing Supply Chain Attacks in CI
Problem
Dependency confusion and typosquatting attacks exploit the gap between “I declared a dependency” and “I...GitOps Security Model: Separation of Duties, Drift Detection, and Rollback Controlshttps://systemshardening.github.io/articles/cicd/gitops-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZGitOps Security Model: Separation of Duties, Drift Detection, and Rollback Controls
Problem
GitOps centralizes deployment authority in Git repositories. Tools like ArgoCD and Flux watch Git...Securing Helm Charts: Chart Signing, Value Injection, and Template Securityhttps://systemshardening.github.io/articles/cicd/helm-chart-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring Helm Charts: Chart Signing, Value Injection, and Template Security
Problem
Helm is the dominant package manager for Kubernetes, but most teams install charts without verifying provenance,...Pipeline-as-Code Security: Preventing CI Configuration Tamperinghttps://systemshardening.github.io/articles/cicd/pipeline-config-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZPipeline-as-Code Security: Preventing CI Configuration Tampering
Problem
CI/CD pipeline definitions live alongside application code in Git. Whoever can modify .github/workflows/, .gitlab-ci.yml, or...Reproducible Builds for Container Images: Achieving Deterministic Outputhttps://systemshardening.github.io/articles/cicd/reproducible-builds/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZReproducible Builds for Container Images: Achieving Deterministic Output
Problem
Two builds from the same source code should produce the same container image. In practice, they almost never do....Software Bill of Materials (SBOM) Generation and Consumption in CI/CDhttps://systemshardening.github.io/articles/cicd/sbom/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSoftware Bill of Materials (SBOM) Generation and Consumption in CI/CD
Problem
SBOM generation is easy, run Syft, get a list of every package in your container image. SBOM consumption is hard: when a...Securing CI/CD Runners: Isolation, Credential Scoping, and Ephemeral Environmentshttps://systemshardening.github.io/articles/cicd/securing-cicd-runners/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring CI/CD Runners: Isolation, Credential Scoping, and Ephemeral Environments
Problem
CI/CD runners are the most privileged, least monitored components in most infrastructure. A self-hosted runner...Securing GitHub Actions: Permissions, Pinning, and Workflow Injection Preventionhttps://systemshardening.github.io/articles/cicd/securing-github-actions/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring GitHub Actions: Permissions, Pinning, and Workflow Injection Prevention
Problem
GitHub Actions is the most widely used CI/CD platform, but its security model is scattered across dozens of...SLSA Provenance for Container Images: From Build to Admission Controlhttps://systemshardening.github.io/articles/cicd/slsa-provenance/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSLSA Provenance for Container Images: From Build to Admission Control
Problem
Without provenance, you cannot prove where a container image came from, what source code it was built from, or whether the...Terraform Security: State File Protection, Provider Pinning, and Plan Review Automationhttps://systemshardening.github.io/articles/cicd/terraform-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZTerraform Security: State File Protection, Provider Pinning, and Plan Review Automation
Problem
Terraform state files contain every secret, IP address, and configuration detail of your infrastructure...Compliance-as-Code: Mapping CIS Benchmarks to Automated Checks with InSpec and Kube-benchhttps://systemshardening.github.io/articles/cross-cutting/compliance-as-code/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZCompliance-as-Code: Mapping CIS Benchmarks to Automated Checks with InSpec and Kube-bench
Problem
Manual compliance audits are point-in-time snapshots that are outdated before the report is written....The Hardening Scorecard: Measuring and Tracking Security Posturehttps://systemshardening.github.io/articles/cross-cutting/hardening-scorecard/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZThe Hardening Scorecard: Measuring and Tracking Security Posture
Problem
“Are we more secure than last month?” is a question most teams cannot answer. Security tools produce individual outputs:...Security Hardening for Small Teams: Prioritising Controls When You Cannot Do Everythinghttps://systemshardening.github.io/articles/cross-cutting/hardening-small-teams/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecurity Hardening for Small Teams: Prioritising Controls When You Cannot Do Everything
Problem
A team of 1-5 engineers cannot implement 100 hardening controls simultaneously. Most hardening guides...Incident Response Hardening Playbook: From Detection to Post-Mortemhttps://systemshardening.github.io/articles/cross-cutting/incident-response-hardening-playbook/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZIncident Response Hardening Playbook: From Detection to Post-Mortem
Problem
During an active security incident, hardening is reactive: isolate the compromised system, contain the blast radius,...Securing Message Queues in Production: Kafka, RabbitMQ, and NATS Hardeninghttps://systemshardening.github.io/articles/cross-cutting/message-queue-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring Message Queues in Production: Kafka, RabbitMQ, and NATS Hardening
Problem
Message brokers carry some of the most sensitive data in any architecture, payment events, user actions, system...Migrating from Self-Hosted Prometheus to Grafana Cloud: Preserving Dashboards, Alerts, and Historyhttps://systemshardening.github.io/articles/cross-cutting/migrate-prometheus-grafana-cloud/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZMigrating from Self-Hosted Prometheus to Grafana Cloud: Preserving Dashboards, Alerts, and History
Problem
Self-hosted Prometheus consumes 500GB+ storage within 6 months for a 20-node Kubernetes...Migrating from Self-Managed Kubernetes to a Managed Provider Without Losing Your Security Posturehttps://systemshardening.github.io/articles/cross-cutting/migrate-to-managed-k8s/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZMigrating from Self-Managed Kubernetes to a Managed Provider Without Losing Your Security Posture
Problem
Self-managed Kubernetes clusters (kubeadm, k3s, kops) consume 8-16 hours per month of...Multi-Cloud Hardening: Consistent Security Posture Across Providershttps://systemshardening.github.io/articles/cross-cutting/multi-cloud-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZMulti-Cloud Hardening: Consistent Security Posture Across Providers
Problem
Running infrastructure across multiple cloud providers means maintaining consistent security controls across fundamentally...Hardening PostgreSQL for Production: Authentication, Encryption, Row-Level Security, and Audit Logginghttps://systemshardening.github.io/articles/cross-cutting/postgresql-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening PostgreSQL for Production: Authentication, Encryption, Row-Level Security, and Audit Logging
Problem
PostgreSQL defaults prioritise developer convenience over security. A stock installation...Hardening Redis in Production: Authentication, TLS, ACLs, and Command Restrictionhttps://systemshardening.github.io/articles/cross-cutting/redis-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening Redis in Production: Authentication, TLS, ACLs, and Command Restriction
Problem
Redis defaults prioritise developer convenience: no authentication, no TLS, all 200+ commands available, and...Security Infrastructure Disaster Recovery: Vault, PKI, and SIEM Failoverhttps://systemshardening.github.io/articles/cross-cutting/security-infra-disaster-recovery/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecurity Infrastructure Disaster Recovery: Vault, PKI, and SIEM Failover
Problem
When your security infrastructure fails, you are flying blind. If Vault is down, applications cannot retrieve secrets...Zero Trust Networking: Identity-Based Access Beyond Perimeter Securityhttps://systemshardening.github.io/articles/cross-cutting/zero-trust-networking/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZZero Trust Networking: Identity-Based Access Beyond Perimeter Security
Problem
Perimeter security assumes the internal network is safe. It is not. A single compromised pod, a stolen VPN credential, or...A/B Model Deployment Safety: Canary Rollouts, Traffic Splitting, and Automated Rollback for ML Modelshttps://systemshardening.github.io/articles/kubernetes/ab-deployment-safety/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZA/B Model Deployment Safety: Canary Rollouts, Traffic Splitting, and Automated Rollback for ML Models
Problem
Deploying a new ML model version is not the same as deploying a new application version. A...Kubernetes Admission Control: From PodSecurity Standards to Custom OPA/Kyverno Policieshttps://systemshardening.github.io/articles/kubernetes/kubernetes-admission-control/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes Admission Control: From PodSecurity Standards to Custom OPA/Kyverno Policies
Problem
Without admission control, any user with deployment permissions can run privileged containers, mount the...AI API Key Management: Rotation, Scoping, and Abuse Detectionhttps://systemshardening.github.io/articles/kubernetes/ai-api-key-management/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI API Key Management: Rotation, Scoping, and Abuse Detection
Problem
AI services have turned API keys into direct spending controls. A leaked OpenAI or Anthropic key can generate thousands of dollars...Building a Content Filtering Pipeline for LLM Applications: From Raw Input to Safe Outputhttps://systemshardening.github.io/articles/kubernetes/ai-content-filtering-pipeline/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZBuilding a Content Filtering Pipeline for LLM Applications: From Raw Input to Safe Output
Problem
A single content filter is not a pipeline. Most LLM deployments add one filter (usually on output) and...AI Data Leakage Prevention: Input Filtering, Output Scanning, and Audit Trailshttps://systemshardening.github.io/articles/kubernetes/ai-data-leakage-prevention/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI Data Leakage Prevention: Input Filtering, Output Scanning, and Audit Trails
Problem
AI systems leak data in ways traditional applications do not. A language model trained on customer data can...Implementing AI Guardrails: Input Validation, Output Filtering, and Safety Classifiers in Productionhttps://systemshardening.github.io/articles/kubernetes/ai-guardrails-implementation/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZImplementing AI Guardrails: Input Validation, Output Filtering, and Safety Classifiers in Production
Problem
Deploying an LLM without guardrails is deploying an application where any user can make it...AI Incident Forensics: Reconstructing What an AI System Did, Why, and What Data It Accessedhttps://systemshardening.github.io/articles/kubernetes/ai-incident-forensics/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI Incident Forensics: Reconstructing What an AI System Did, Why, and What Data It Accessed
Problem
When a traditional application causes an incident, you examine logs, traces, and database queries to...AI Red Teaming Methodology: Structured Adversarial Testing for LLM Applicationshttps://systemshardening.github.io/articles/kubernetes/ai-red-teaming/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAI Red Teaming Methodology: Structured Adversarial Testing for LLM Applications
Problem
Traditional security testing (penetration testing, vulnerability scanning) does not cover AI-specific attack...Network Segmentation for AI Training Infrastructurehttps://systemshardening.github.io/articles/kubernetes/ai-training-network-segmentation/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZNetwork Segmentation for AI Training Infrastructure
Problem
AI training clusters frequently share networks with production services. A training job that can reach the production database is one...Kubernetes API Server Hardening: Flags, Authentication, and Audit Logginghttps://systemshardening.github.io/articles/kubernetes/api-server-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes API Server Hardening: Flags, Authentication, and Audit Logging
Problem
The API server is the front door to the Kubernetes cluster. Every kubectl command, every controller reconciliation,...Kubernetes Audit Log Analysis: What to Log, How to Query, and What to Alert Onhttps://systemshardening.github.io/articles/kubernetes/audit-log-analysis/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes Audit Log Analysis: What to Log, How to Query, and What to Alert On
Problem
Kubernetes audit logs record every request to the API server: who made the request, what they asked for, and...etcd Encryption at Rest: Configuration, Key Rotation, and Performance Impacthttps://systemshardening.github.io/articles/kubernetes/etcd-encryption/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000Zetcd Encryption at Rest: Configuration, Key Rotation, and Performance Impact
Problem
Kubernetes Secrets are stored in etcd as base64-encoded plaintext. Base64 is an encoding, not encryption. Anyone...Runtime Security with Falco on Kubernetes: Rules, Tuning, and Response Automationhttps://systemshardening.github.io/articles/kubernetes/falco-runtime-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZRuntime Security with Falco on Kubernetes: Rules, Tuning, and Response Automation
Problem
Prevention-only security has a binary failure mode: either the control holds and the attacker is stopped, or...Securing Fine-Tuning Pipelines: Data Isolation, Checkpoint Integrity, and Access Controlhttps://systemshardening.github.io/articles/kubernetes/fine-tuning-pipeline-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring Fine-Tuning Pipelines: Data Isolation, Checkpoint Integrity, and Access Control
Problem
Fine-tuning pipelines are high-value targets. They consume expensive GPU hours, process proprietary...GPU Cost and Security Monitoring: Detecting Abuse and Optimising Spendhttps://systemshardening.github.io/articles/kubernetes/gpu-cost-security-monitoring/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZGPU Cost and Security Monitoring: Detecting Abuse and Optimising Spend
Problem
GPU compute costs between $2 and $30 per hour per device. A single unauthorised cryptocurrency mining pod running on an...GPU Workload Isolation: MIG, MPS, and vGPU Security Boundarieshttps://systemshardening.github.io/articles/kubernetes/gpu-isolation/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZGPU Workload Isolation: MIG, MPS, and vGPU Security Boundaries
Problem
Multi-tenant GPU sharing without isolation risks data leakage between workloads through shared GPU memory. NVIDIA offers three...Kubernetes Image Policy Enforcement: Cosign, Notation, and Admission Webhookshttps://systemshardening.github.io/articles/kubernetes/image-policy-enforcement/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes Image Policy Enforcement: Cosign, Notation, and Admission Webhooks
Problem
Without image policy enforcement, any container image from any registry can run in a Kubernetes cluster. A...Hardening Model Inference Endpoints: Authentication, Rate Limiting, and Input Validationhttps://systemshardening.github.io/articles/kubernetes/inference-endpoint-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening Model Inference Endpoints: Authentication, Rate Limiting, and Input Validation
Problem
Model inference endpoints are GPU-backed and expensive, $2-30 per hour per GPU. A single unprotected...Hardening Kubernetes Ingress Controllers: NGINX, Traefik, and Envoy Comparedhttps://systemshardening.github.io/articles/kubernetes/ingress-controller-comparison/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening Kubernetes Ingress Controllers: NGINX, Traefik, and Envoy Compared
Problem
The ingress controller is the internet-facing entry point to a Kubernetes cluster. Every external HTTP request...Jupyter Notebook Security: Authentication, Isolation, and Data Protectionhttps://systemshardening.github.io/articles/kubernetes/jupyter-notebook-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZJupyter Notebook Security: Authentication, Isolation, and Data Protection
Problem
JupyterHub is a code execution platform. Every notebook cell is arbitrary code running with whatever permissions the...Kubelet Security Configuration: Authentication, Authorization, and Read-Only Porthttps://systemshardening.github.io/articles/kubernetes/kubelet-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubelet Security Configuration: Authentication, Authorization, and Read-Only Port
Problem
The kubelet runs on every node in the cluster with root-level access to the container runtime, all pod...LLM Observability in Production: Monitoring Latency, Token Usage, Safety Violations, and Drifthttps://systemshardening.github.io/articles/kubernetes/llm-observability-production/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZLLM Observability in Production: Monitoring Latency, Token Usage, Safety Violations, and Drift
Problem
Traditional application monitoring (CPU, memory, HTTP status codes, latency) tells you nothing...Observability for LLM Applications: Token Usage, Latency Anomalies, and Output Classificationhttps://systemshardening.github.io/articles/kubernetes/llm-observability/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZObservability for LLM Applications: Token Usage, Latency Anomalies, and Output Classification
Problem
LLM-powered applications have unique observability requirements that standard APM tools do not...Securing Model Artifact Pipelines: From Training to Servinghttps://systemshardening.github.io/articles/kubernetes/model-artifact-pipelines/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring Model Artifact Pipelines: From Training to Serving
Problem
Model files are opaque binaries ranging from 1GB to over 1TB. You cannot code-review a set of weights. An attacker who tampers with...Model Registry Access Control: Versioning, Signing, and Promotion Gateshttps://systemshardening.github.io/articles/kubernetes/model-registry-access-control/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZModel Registry Access Control: Versioning, Signing, and Promotion Gates
Problem
Model registries are the bridge between training and production. A model pushed to the production registry gets served...Hardening Model Serving Frameworks: TorchServe, Triton, and vLLM Security Configurationhttps://systemshardening.github.io/articles/kubernetes/model-serving-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening Model Serving Frameworks: TorchServe, Triton, and vLLM Security Configuration
Problem
Model serving frameworks ship with defaults optimised for development: management APIs exposed on all...Multi-Tenancy Hardening in Kubernetes: Namespace Isolation, Resource Quotas, and Network Boundarieshttps://systemshardening.github.io/articles/kubernetes/multi-tenancy-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZMulti-Tenancy Hardening in Kubernetes: Namespace Isolation, Resource Quotas, and Network Boundaries
Problem
Kubernetes namespaces provide logical separation, not security isolation. By default, pods...Kubernetes Network Policies That Actually Work: From Default Deny to Microsegmentationhttps://systemshardening.github.io/articles/kubernetes/kubernetes-network-policies/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes Network Policies That Actually Work: From Default Deny to Microsegmentation
Problem
By default, every pod in a Kubernetes cluster can communicate with every other pod across all namespaces....Kubernetes Node Hardening: From OS Configuration to kubelet Lockdownhttps://systemshardening.github.io/articles/kubernetes/node-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes Node Hardening: From OS Configuration to kubelet Lockdown
Problem
A Kubernetes node is a Linux machine running kubelet, a container runtime, and your workloads. If the node is compromised,...Pod Security Context Deep Dive: runAsNonRoot, readOnlyRootFilesystem, and Capabilitieshttps://systemshardening.github.io/articles/kubernetes/pod-security-context/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZPod Security Context Deep Dive: runAsNonRoot, readOnlyRootFilesystem, and Capabilities
Problem
Kubernetes SecurityContext has over 15 configurable fields, but most teams only set runAsNonRoot: true...Prompt Injection Defence in Production: Input Validation, Output Filtering, and Monitoringhttps://systemshardening.github.io/articles/kubernetes/prompt-injection/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZPrompt Injection Defence in Production: Input Validation, Output Filtering, and Monitoring
Problem
Prompt injection is the SQL injection of AI systems, the most common and most damaging attack class...Securing RAG Pipelines: Vector Database Access Control, Document Poisoning, and Retrieval Filteringhttps://systemshardening.github.io/articles/kubernetes/rag-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecuring RAG Pipelines: Vector Database Access Control, Document Poisoning, and Retrieval Filtering
Problem
Retrieval-Augmented Generation (RAG) adds a knowledge base to LLM applications, the model...Kubernetes RBAC Design Patterns: Least Privilege Without Paralysing Developershttps://systemshardening.github.io/articles/kubernetes/rbac-design-patterns/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes RBAC Design Patterns: Least Privilege Without Paralysing Developers
Problem
RBAC sprawl in multi-team Kubernetes clusters grows past 100 role bindings within months. The core tension is...RLHF Data Protection: Securing Human Feedback Loops, Preference Data, and Reward Modelshttps://systemshardening.github.io/articles/kubernetes/rlhf-data-protection/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZRLHF Data Protection: Securing Human Feedback Loops, Preference Data, and Reward Models
Problem
Reinforcement Learning from Human Feedback (RLHF) pipelines introduce unique security surfaces that...Hardening the Kubernetes Scheduler: Topology Constraints and Security-Aware Placementhttps://systemshardening.github.io/articles/kubernetes/scheduler-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening the Kubernetes Scheduler: Topology Constraints and Security-Aware Placement
Problem
The Kubernetes scheduler places pods on nodes based on resource availability and basic constraints. By...Seccomp Profiles for Production Workloads: Writing, Testing, and Deploying Custom Profileshttps://systemshardening.github.io/articles/kubernetes/seccomp-profiles/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSeccomp Profiles for Production Workloads: Writing, Testing, and Deploying Custom Profiles
Problem
The default container runtime allows approximately 300 syscalls. A compromised container can use...Kubernetes Secrets Management: External Secrets Operator, Vault, and Sealed Secretshttps://systemshardening.github.io/articles/kubernetes/secrets-management/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes Secrets Management: External Secrets Operator, Vault, and Sealed Secrets
Problem
Kubernetes Secrets are base64-encoded, not encrypted. Running kubectl get secret my-secret -o...Kubernetes Service Account Token Security: Bound Tokens, Projected Volumes, and OIDChttps://systemshardening.github.io/articles/kubernetes/service-account-tokens/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes Service Account Token Security: Bound Tokens, Projected Volumes, and OIDC
Problem
Every pod in Kubernetes receives a service account token by default. In clusters running older...Vector Database Security: Access Control, Embedding Protection, and Query Isolationhttps://systemshardening.github.io/articles/kubernetes/vector-database-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZVector Database Security: Access Control, Embedding Protection, and Query Isolation
Problem
Vector databases are the backbone of RAG (Retrieval-Augmented Generation) systems. They store document...Automated OS Hardening with Ansible: A Production-Ready Playbook Collectionhttps://systemshardening.github.io/articles/linux/ansible-os-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAutomated OS Hardening with Ansible: A Production-Ready Playbook Collection
Problem
Manual OS hardening does not scale. The sysctl settings from Article #1, the systemd overrides from Article #2, the...AppArmor Profiles for Custom Applications: From Complain Mode to Enforcehttps://systemshardening.github.io/articles/linux/apparmor/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAppArmor Profiles for Custom Applications: From Complain Mode to Enforce
Problem
AppArmor is the default mandatory access control system on Ubuntu and Debian. It restricts applications to specific...Linux Audit Framework Deep Dive: auditd Rules, auditctl, and ausearch for Security Monitoringhttps://systemshardening.github.io/articles/linux/auditd-deep-dive/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZLinux Audit Framework Deep Dive: auditd Rules, auditctl, and ausearch for Security Monitoring
Problem
auditd is the kernel-level audit system on Linux, it captures syscalls, file access, user...Cgroup v2 Resource Isolation: Preventing Resource Exhaustion Attacks on Shared Systemshttps://systemshardening.github.io/articles/linux/cgroup-resource-isolation/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZCgroup v2 Resource Isolation: Preventing Resource Exhaustion Attacks on Shared Systems
Problem
Without resource limits, a single service, container, or compromised process can consume all available...Hardening Container Base Images: From ubuntu:latest to a Minimal, Signed, Scannable Imagehttps://systemshardening.github.io/articles/linux/container-base-images/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening Container Base Images: From ubuntu:latest to a Minimal, Signed, Scannable Image
Problem
ubuntu:latest ships with over 200 packages. At any given point, a vulnerability scan with Trivy will...Hardening DNS Resolution on Linux: systemd-resolved, Unbound, and DNS-over-TLShttps://systemshardening.github.io/articles/linux/dns-resolution-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening DNS Resolution on Linux: systemd-resolved, Unbound, and DNS-over-TLS
Problem
Most Linux hosts resolve DNS in plaintext over UDP port 53. On a stock Ubuntu 24.04 or RHEL 9 system:
Every DNS...Filesystem Mount Options That Matter: noexec, nosuid, nodev, and Beyondhttps://systemshardening.github.io/articles/linux/filesystem-mount-options/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZFilesystem Mount Options That Matter: noexec, nosuid, nodev, and Beyond
Problem
Default Linux installations mount most filesystems with permissive options. On a stock Ubuntu 24.04 or RHEL 9...Hardening GRUB and the Boot Process: Secure Boot, Boot Passwords, and Tamper Detectionhttps://systemshardening.github.io/articles/linux/grub-boot-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening GRUB and the Boot Process: Secure Boot, Boot Passwords, and Tamper Detection
Problem
Without boot security, an attacker with physical access or console access (BMC, IPMI, cloud serial...Kernel Module Hardening: Blacklisting, Signing, and Preventing Runtime Loadinghttps://systemshardening.github.io/articles/linux/kernel-module-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKernel Module Hardening: Blacklisting, Signing, and Preventing Runtime Loading
Problem
The Linux kernel loads modules on demand. When a process requests a capability that is not built into the running...Linux Firewall Hardening with nftables: Replacing iptables in Productionhttps://systemshardening.github.io/articles/linux/nftables/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZLinux Firewall Hardening with nftables: Replacing iptables in Production
Problem
iptables is deprecated. nftables is the replacement in every modern Linux kernel (5.0+). Most teams either still use...PAM Configuration Hardening: Password Policies, Login Controls, and MFA Integrationhttps://systemshardening.github.io/articles/linux/pam-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZPAM Configuration Hardening: Password Policies, Login Controls, and MFA Integration
Problem
PAM (Pluggable Authentication Modules) is the authentication foundation on Linux. Default PAM stacks allow...Hardening /proc and /sys: Restricting Kernel Information Disclosurehttps://systemshardening.github.io/articles/linux/proc-sys-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening /proc and /sys: Restricting Kernel Information Disclosure
Problem
/proc and /sys are virtual filesystems that expose kernel internals, hardware details, and process information to userspace....SELinux in Production: Writing Custom Policies Without Losing Your Mindhttps://systemshardening.github.io/articles/linux/selinux/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSELinux in Production: Writing Custom Policies Without Losing Your Mind
Problem
SELinux is the most powerful mandatory access control system on Linux, and the most disabled. The majority of...SSH Hardening Beyond the Basics: Certificate Authentication, Jump Hosts, and Logginghttps://systemshardening.github.io/articles/linux/ssh-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSSH Hardening Beyond the Basics: Certificate Authentication, Jump Hosts, and Logging
Problem
Every SSH hardening guide starts and ends with the same three changes: disable root login, require...systemd Unit Hardening: ProtectSystem, PrivateTmp, and the Full Sandbox Toolkithttps://systemshardening.github.io/articles/linux/systemd-unit-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000Zsystemd Unit Hardening: ProtectSystem, PrivateTmp, and the Full Sandbox Toolkit
Problem
systemd provides over 30 security-relevant directives for sandboxing services, yet the vast majority of unit...Time Synchronization Security: Hardening NTP and Chrony Against Manipulationhttps://systemshardening.github.io/articles/linux/time-sync-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZTime Synchronization Security: Hardening NTP and Chrony Against Manipulation
Problem
Accurate time is a silent dependency of almost every security control on a Linux system. When an attacker can...API Gateway Security: Authentication, Authorization, and Request Validationhttps://systemshardening.github.io/articles/network/api-gateway-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZAPI Gateway Security: Authentication, Authorization, and Request Validation
Problem
Without a centralized API gateway, authentication and authorization logic is duplicated in every backend service....gRPC Security in Production: TLS, Authentication, and Interceptor-Based Access Controlhttps://systemshardening.github.io/articles/network/grpc-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZgRPC Security in Production: TLS, Authentication, and Interceptor-Based Access Control
Problem
gRPC services in production frequently run with security configurations that would never be acceptable...HTTP Security Headers in Production: CSP, HSTS, and Permissions-Policy Without Breaking Your Apphttps://systemshardening.github.io/articles/network/http-security-headers/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHTTP Security Headers in Production: CSP, HSTS, and Permissions-Policy Without Breaking Your App
Problem
Security headers are free, server-side controls that instruct browsers to restrict dangerous...Protecting Internal APIs: Network Segmentation, Authentication, and Access Logginghttps://systemshardening.github.io/articles/network/internal-api-protection/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZProtecting Internal APIs: Network Segmentation, Authentication, and Access Logging
Problem
“It’s internal” is the most dangerous phrase in infrastructure security. Internal APIs sit behind the...IPv6 Security in Production: Hardening Dual-Stack Deploymentshttps://systemshardening.github.io/articles/network/ipv6-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZIPv6 Security in Production: Hardening Dual-Stack Deployments
Problem
Most production environments run dual-stack (IPv4 and IPv6) whether the team intended it or not. Linux enables IPv6 by default....Load Balancer Security: Health Check Abuse, Connection Draining, and TLS Terminationhttps://systemshardening.github.io/articles/network/load-balancer-security/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZLoad Balancer Security: Health Check Abuse, Connection Draining, and TLS Termination
Problem
Load balancers sit at the most critical point in your infrastructure: every external request passes through...mTLS for Service-to-Service Communication: Istio, Linkerd, and DIY with cert-managerhttps://systemshardening.github.io/articles/network/mtls-service-mesh/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZmTLS for Service-to-Service Communication: Istio, Linkerd, and DIY with cert-manager
Problem
Internal service-to-service traffic in most Kubernetes clusters is plaintext. Once an attacker compromises...Rate Limiting at the Ingress Layer: NGINX, Envoy, and Cloud Load Balancers Comparedhttps://systemshardening.github.io/articles/network/rate-limiting-ingress/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZRate Limiting at the Ingress Layer: NGINX, Envoy, and Cloud Load Balancers Compared
Problem
Rate limiting is the first line of defence against abuse, credential stuffing, API scraping, and...Preventing HTTP Request Smuggling: Configuration for NGINX, HAProxy, and Envoyhttps://systemshardening.github.io/articles/network/request-smuggling-prevention/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZPreventing HTTP Request Smuggling: Configuration for NGINX, HAProxy, and Envoy
Problem
HTTP request smuggling exploits inconsistencies in how chained HTTP processors (reverse proxies, load balancers,...TLS 1.3 Configuration for NGINX and Envoy: Ciphers, Certificates, and OCSP Staplinghttps://systemshardening.github.io/articles/network/tls-nginx-envoy/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZTLS 1.3 Configuration for NGINX and Envoy: Ciphers, Certificates, and OCSP Stapling
Problem
TLS misconfiguration remains one of the most common security findings in production infrastructure. Servers...WAF Rule Tuning That Does Not Break Legitimate Traffic: ModSecurity and Coraza in Practicehttps://systemshardening.github.io/articles/network/waf-rule-tuning/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZWAF Rule Tuning That Does Not Break Legitimate Traffic: ModSecurity and Coraza in Practice
Problem
A self-managed Web Application Firewall (WAF) with default rules generates dozens of false positives...Hardening WebSocket Connections: Authentication, Rate Limiting, and Origin Validationhttps://systemshardening.github.io/articles/network/websocket-hardening/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZHardening WebSocket Connections: Authentication, Rate Limiting, and Origin Validation
Problem
WebSocket connections start as an HTTP upgrade request and then persist as a long-lived, full-duplex...Building a Security Audit Log Pipeline That Scales: auditd to Elasticsearchhttps://systemshardening.github.io/articles/observability/audit-log-pipeline/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZBuilding a Security Audit Log Pipeline That Scales: auditd to Elasticsearch
Problem
Linux audit logs are the ground truth for security investigation. auditd captures kernel-level events that no...Centralized Logging Architecture for Security: Fluentd, Vector, and Loki Comparedhttps://systemshardening.github.io/articles/observability/centralized-logging/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZCentralized Logging Architecture for Security: Fluentd, Vector, and Loki Compared
Problem
Self-managed log infrastructure is one of the highest operational costs for small-to-medium teams. The choice...Certificate Expiry Monitoring: Automated Detection Across TLS, mTLS, and Signing Certificateshttps://systemshardening.github.io/articles/observability/certificate-expiry-monitoring/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZCertificate Expiry Monitoring: Automated Detection Across TLS, mTLS, and Signing Certificates
Problem
Certificate expiry is the most common cause of preventable production outages. When a TLS...Container Escape Detection: Runtime Signals, Kernel Indicators, and Response Automationhttps://systemshardening.github.io/articles/observability/container-escape-detection/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZContainer Escape Detection: Runtime Signals, Kernel Indicators, and Response Automation
Problem
Container escapes are the highest-impact attack in Kubernetes. A single compromised pod that escapes its...Crypto Mining Detection: CPU Patterns, Network Signatures, and Automated Responsehttps://systemshardening.github.io/articles/observability/crypto-mining-detection/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZCrypto Mining Detection: CPU Patterns, Network Signatures, and Automated Response
Problem
Cryptojacking is the most common post-compromise activity in Kubernetes environments. It is profitable for...Building Detection Rules That Don't Cry Wolf: Alert Design for Security Eventshttps://systemshardening.github.io/articles/observability/detection-rules/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZBuilding Detection Rules That Don’t Cry Wolf: Alert Design for Security Events
Problem
Security detection that generates 50+ false positives per day is worse than no detection, it trains the team to...eBPF-Based Security Monitoring: Tetragon for Process, Network, and File Observabilityhttps://systemshardening.github.io/articles/observability/ebpf-tetragon/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZeBPF-Based Security Monitoring: Tetragon for Process, Network, and File Observability
Problem
Falco monitors syscalls for runtime detection. Tetragon (CNCF/Cilium) goes deeper: it monitors process...Incident Response Runbooks: Structured Procedures for Common Security Eventshttps://systemshardening.github.io/articles/observability/incident-response-runbooks/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZIncident Response Runbooks: Structured Procedures for Common Security Events
Problem
Detection without documented response is security theatre. Most teams have alerts that fire at 3 AM, but no written...Kubernetes Audit Log Pipeline Design: From API Server to SIEMhttps://systemshardening.github.io/articles/observability/k8s-audit-log-design/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZKubernetes Audit Log Pipeline Design: From API Server to SIEM
Problem
Kubernetes audit logging at the RequestResponse level captures everything: every API call, every request body, every response...Lateral Movement Detection: Network Patterns, Authentication Anomalies, and Alert Correlationhttps://systemshardening.github.io/articles/observability/lateral-movement-detection/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZLateral Movement Detection: Network Patterns, Authentication Anomalies, and Alert Correlation
Problem
East-west traffic inside a Kubernetes cluster is a blind spot for most security teams. Once an...Log Integrity and Tamper Detection: Ensuring Your Audit Trail Is Trustworthyhttps://systemshardening.github.io/articles/observability/log-integrity/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZLog Integrity and Tamper Detection: Ensuring Your Audit Trail Is Trustworthy
Problem
An attacker’s first post-compromise action is covering their tracks. On a Linux host, this means deleting...OpenTelemetry for Security: Distributed Tracing of Authentication and Authorization Flowshttps://systemshardening.github.io/articles/observability/otel-security-tracing/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZOpenTelemetry for Security: Distributed Tracing of Authentication and Authorization Flows
Problem
Distributed tracing is standard for performance debugging, but almost no team uses it for security....Security-Relevant Prometheus Metrics: What to Collect, How to Alert, When to Pagehttps://systemshardening.github.io/articles/observability/prometheus-security-metrics/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecurity-Relevant Prometheus Metrics: What to Collect, How to Alert, When to Page
Problem
Prometheus is deployed in most Kubernetes environments for infrastructure monitoring (CPU, memory, disk,...Security Dashboards That Engineers Actually Use: Grafana Designs for Hardening Verificationhttps://systemshardening.github.io/articles/observability/security-dashboards/2026-04-22T00:00:00.000Z2026-04-22T00:00:00.000ZSecurity Dashboards That Engineers Actually Use: Grafana Designs for Hardening Verification
Problem
Most security dashboards are vanity metrics, total alerts this month, pie charts of vulnerability...How AI Is Compressing the Attacker Timeline: What Defenders Need to Change Nowhttps://systemshardening.github.io/articles/ai-landscape/ai-compressing-attacker-timeline/2026-04-21T00:00:00.000Z2026-04-21T00:00:00.000ZHow AI Is Compressing the Attacker Timeline: What Defenders Need to Change Now
Problem
The gap between vulnerability disclosure and weaponised exploit used to be measured in weeks. In 2020, the median...Claude, Mythos, and the Non-Human Infrastructure Consumer: Writing Hardening Guides for AI Agentshttps://systemshardening.github.io/articles/ai-landscape/claude-non-human-consumers/2026-04-21T00:00:00.000Z2026-04-21T00:00:00.000ZClaude, Mythos, and the Non-Human Infrastructure Consumer: Writing Hardening Guides for AI Agents
Problem
AI models are no longer just tools that engineers use to write code. They are becoming direct...The Threat Model Has Changed: Rewriting Security Assumptions for an AI-Augmented Worldhttps://systemshardening.github.io/articles/ai-landscape/threat-model-ai-augmented/2026-04-21T00:00:00.000Z2026-04-21T00:00:00.000ZThe Threat Model Has Changed: Rewriting Security Assumptions for an AI-Augmented World
Problem
Every security architecture is built on assumptions about what attackers can do, how fast they can do it,...Hardening a Complete Kubernetes Platform: From Cluster Bootstrap to Production-Readyhttps://systemshardening.github.io/articles/cross-cutting/complete-kubernetes-hardening/2026-04-21T00:00:00.000Z2026-04-21T00:00:00.000ZHardening a Complete Kubernetes Platform: From Cluster Bootstrap to Production-Ready
Problem
A fresh Kubernetes cluster (whether bootstrapped with kubeadm, k3s, or provisioned by a managed provider)...Hardening the Linux Kernel Attack Surface with sysctl and Boot Parametershttps://systemshardening.github.io/articles/linux/sysctl-kernel-hardening/2026-04-21T00:00:00.000Z2026-04-21T00:00:00.000ZHardening the Linux Kernel Attack Surface with sysctl and Boot Parameters
Problem
Linux kernels ship with defaults optimised for compatibility, not security. On a stock Ubuntu 24.04 or RHEL 9...DNS Security for Production Infrastructure: DNSSEC, CAA Records, and Internal Resolutionhttps://systemshardening.github.io/articles/network/dns-security-dnssec-caa/2026-04-21T00:00:00.000Z2026-04-21T00:00:00.000ZDNS Security for Production Infrastructure: DNSSEC, CAA Records, and Internal Resolution
Problem
DNS is the most critical single point of failure in any infrastructure, and the least hardened layer...NGINX Hardening Beyond TLS: Request Filtering, Buffer Limits, and Connection Controlshttps://systemshardening.github.io/articles/network/nginx-hardening-beyond-tls/2026-04-21T00:00:00.000Z2026-04-21T00:00:00.000ZNGINX Hardening Beyond TLS: Request Filtering, Buffer Limits, and Connection Controls
Problem
Most NGINX hardening guides stop at TLS configuration, cipher suites, certificate setup, HSTS. In...