Glossary
Threat Modeling
The structured practice of identifying what can go wrong in a system before it is attacked: enumerating assets, likely adversaries, attack surfaces, and mitigations. Methodologies such as STRIDE give teams a repeatable way to find design-level flaws that code review and scanning cannot see.
// Recent coverage mentioning Threat Modeling
Agentic AI: New Security Challenges for Confidential Computing
Examines how agentic AI introduces novel security risks to confidential computing, challenging the integrity and privacy of data in secure enclaves.
Agentic AI Security: Principles for Safe Scaling and Deployment
Explore the three essential principles—Secure by Design, Human-in-the-Loop, and Continuous Monitoring—for safely scaling Agentic AI systems.
Architectural Security Risks of MCP in LLM Environments
Explore architectural security risks introduced by MCP in Large Language Model environments, deemed unpatchable and requiring fundamental redesigns for future safety.