Agentic AI research watch
Agentic AI introduces temporal and operational risk. Instead of one-shot inference, the system reasons, remembers, calls tools, and acts—so security must govern sequences, permissions, and autonomy boundaries.
Why it matters
The core shift in agentic AI is that the security boundary becomes behavioral and time dependent. A system that is harmless in one response can still become unsafe over a chain of actions if memory, tools, or privileges are not scoped carefully.
How to use this page
A good short post on this page can summarize one recent paper, one practical lesson, and one open problem. Keep the tone analytical and readable rather than trying to make each note a full survey.
Useful prompts for future updates
Suggested post prompts: What is the threat model? Where does control break down? Which defenses are realistic? How would this behave differently in cloud and edge settings?