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3 posts

• AI Incident Response: A Practitioner's Playbook for When Your AI System Is Compromised

  Detection signals, containment options, evidence preservation, and recovery procedures for AI-specific security incidents — the operational complement to attack coverage. NIST IR lifecycle applied to prompt injection, model backdoors, data poisoning, and adversarial input attacks.

  Jul 7, 2026 incident-response prompt-injection model-security mlops defense playbook

• LLM Guardrails in Practice: A Decision Guide to Runtime Input/Output Filtering Tools

  LlamaGuard, Azure Prompt Shield, PromptGuard, NeMo Guardrails, Guardrails AI, and Presidio — how each works and when to deploy it.

  Jul 7, 2026 defense llm-security prompt-injection jailbreak runtime-defense tools

• Agent Loop Hijacking: How Resource Exhaustion and Infinite Reasoning Loops Become Attack Primitives

  Most agent security thinking focuses on what an agent does — exfiltration, injection, privilege escalation. Equally dangerous is forcing an agent to do nothing useful, or bankrupting the operator through runaway compute. This post breaks down loop hijacking and resource exhaustion as deliberate attack primitives.

  Jul 4, 2026 agent-security denial-of-service prompt-injection resource-exhaustion defense