Category: Cybersecurity & Governance
Security Operations with LLMs: Log Triage and Incident Narrative Generation
LLMs are transforming SOC operations by automating log triage and generating clear incident narratives, reducing alert fatigue and response times. Learn how they work, their real-world accuracy, risks, and why humans still must stay in the loop.
Preventing RCE in AI-Generated Code: How to Stop Deserialization and Input Validation Attacks
AI-generated code often contains dangerous deserialization flaws that lead to remote code execution. Learn how to prevent RCE by replacing unsafe formats like pickle with JSON, validating inputs, and securing your AI prompts.
Explainability in Generative AI: How to Communicate Limitations and Known Failure Modes
Generative AI can make dangerous mistakes-but explaining why is harder than ever. Learn how to communicate its known failure modes, from hallucinations to bias, and build accountability without false promises.
Auditing AI Usage: Logs, Prompts, and Output Tracking Requirements
AI auditing requires detailed logs of prompts, outputs, and context to ensure compliance, reduce legal risk, and maintain trust. Learn what to track, which tools work, and how to start without overwhelming your team.
Red Teaming for Privacy: How to Test Large Language Models for Data Leakage
Learn how to test large language models for data leakage using red teaming techniques. Discover real-world risks, free tools like garak, legal requirements, and how companies are preventing privacy breaches.
Refusal-Proofing Security Requirements: Prompts That Demand Safe Defaults
Refusal-proof security requirements eliminate insecure defaults by making safety mandatory, measurable, and automated. Learn how to write prompts that force secure configurations and stop vulnerabilities before they start.
Governance Committees for Generative AI: Roles, RACI, and Cadence
Learn how to build a generative AI governance committee with clear roles, RACI structure, and meeting cadence. Real-world examples from IBM, JPMorgan, and The ODP Corporation show what works-and what doesn't.
Security Hardening for LLM Serving: Image Scanning and Runtime Policies
Learn how to harden LLM deployments with image scanning and runtime policies to block prompt injection, data leaks, and multimodal threats. Real-world tools, latency trade-offs, and step-by-step setup.
Shadow AI Remediation: How to Bring Unapproved AI Tools into Compliance
Shadow AI is the unapproved use of generative AI tools by employees. Learn how to detect it, bring it into compliance, and avoid massive fines under GDPR, HIPAA, and the EU AI Act with practical steps and real-world examples.
Guardrails for Medical and Legal LLMs: How to Prevent Harmful AI Outputs in High-Stakes Fields
LLM guardrails in medical and legal fields prevent harmful AI outputs by blocking inaccurate advice, protecting patient data, and avoiding unauthorized legal guidance. Learn how systems like NeMo Guardrails work, their real-world limits, and why human oversight is still essential.
Architectural Standards for Vibe-Coded Systems: Reference Implementations
Vibe coding accelerates development but introduces serious risks without architectural discipline. Learn the five non-negotiable standards, reference implementations, and governance practices that separate sustainable AI-built systems from costly failures.
