Security Guides
Practical guides for securing AI workflows, managing secrets, and achieving compliance.
How to Secure GitHub Copilot in Your Organization
Understand the risks of Copilot (secret leakage, training data concerns, PII in prompts) and learn mitigation strategies including Prompt DLP, policy controls, and audit logging.
10 min readPrompt Injection Prevention: A Practical Guide
Learn about direct, indirect, and jailbreak prompt injection attacks, real-world examples, and defense strategies including input validation, output filtering, and runtime defense.
8 min readNon-Human Identity Lifecycle Management Guide
Tackle the 100:1 NHI-to-developer ratio. Covers service accounts, API keys, OAuth tokens, managed identities, and how to build a discovery-to-decommission NHI program.
8 min readEU AI Act Compliance Checklist for AI-Powered Applications
Understand risk classification, obligations by risk level, the compliance timeline from Feb 2025 to Aug 2027, and a practical 20-item checklist for your AI applications.
12 min readMCP Server Governance: Securing Agentic AI Tool Access
Secure Model Context Protocol servers with inventory management, trust scoring, per-method policies, and governance frameworks for agentic AI environments.
8 min readSecret Scanning in Azure Monitor Logs: The Overlooked Attack Surface
Discover why secrets end up in logs, why no other tool scans Azure Monitor, and how to close this critical gap in your secret detection coverage.
8 min read