Learn how to secure AI agent identities, service accounts, API keys and OAuth tokens with practical governance, testing and incident-response controls.
Understand the OWASP Top 10 for Agentic Applications 2026, practical attack scenarios, security controls and an enterprise testing checklist.
A practical security guide to MCP servers, tool permissions, authentication, prompt injection, data isolation and testing for AI integrations.
Use practical AI agent red teaming test cases to assess prompt injection, permissions, data leakage, unsafe tools and runtime controls.
Discover shadow AI risks, how unauthorized AI tools expose business data, and a practical program for discovery, governance and security testing.
Learn how identity-based ransomware attacks begin with stolen credentials and how MFA, least privilege, monitoring and testing reduce risk.
Build a crypto-agility roadmap for post-quantum migration covering inventories, priorities, vendors, interoperability and staged testing.
Learn how deepfakes and AI-powered phishing work, where traditional controls fail, and how identity, verification and security testing reduce risk.
Learn how to assess vendors, dependencies, CI/CD pipelines, packages, SBOMs and third-party access to reduce software supply chain risk.
Learn how to apply zero-trust principles to AI agents using identity, least privilege, runtime policy, tool controls and continuous verification.
Use this 30-day ransomware readiness checklist to review identity, endpoints, backups, exposure, response and recovery priorities.
Use this cloud API security testing checklist to assess authentication, authorization, IAM, secrets, rate limits, logging and multi-tenant isolation.
