Manager agent or handoff? A decision model for multi-agent control
Choose centralized orchestration or specialist ownership based on accountability, synthesis needs, latency and policy boundaries.
Read the full analysis↗Articles that explain why, not only what to type.
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Migrating Kubernetes namespaces toward Restricted Pod Security
Use audit and warn modes to discover violations, remediate workloads and only then enforce Restricted.
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GitHub Actions OIDC to cloud: a credentialless deployment walkthrough
Replace stored cloud secrets with short-lived federated tokens and narrowly scoped trust conditions.
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Encrypted agent sessions: what encryption protects and what it does not
Threat-model a session store so encryption at rest is not mistaken for authorization, deletion, or prompt-level privacy.
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Docker SBOM attestations: build, inspect and retain the evidence
Generate an SPDX SBOM during BuildKit, inspect it locally and retain it with the image release record.
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Dependency review as policy: make vulnerable package changes fail visibly
Turn dependency diffs into an enforceable pull-request check with explicit vulnerability thresholds and exceptions.
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Course: build a secure AI-agent platform from tool schema to supply-chain evidence
Teach a complete path from agent orchestration and authorization through observability, CI security, SBOM and provenance.
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Build a minimal MCP server with a security boundary you can explain
Create a small server while explicitly separating transport, authorization, tool exposure and side effects.
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AI agent incident response: contain a bad tool action without destroying evidence
Preserve traces and state, revoke credentials, bound downstream effects and reconstruct the authorization path after an unsafe action.
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Secrets in agent traces: find the leak paths before production logging finds them
Map where API keys, tokens and customer data can enter traces and define redaction plus retention controls.
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Tool guardrails for AI agents: validate intent before side effects
Place deterministic validation around function-tool calls so dangerous parameters are rejected before an external action executes.
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Production tracing for agents: observability without a data exhaust problem
Design traces that answer debugging questions while limiting sensitive model and tool payload retention.
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