Open-source tools and research exploring what autonomous agents should be allowed to do.
01AGENT SECURITYPython package · Beta
Agent Circuit BreakerACB
Before an agent acts, ask whether it should.
A checkpoint between an AI agent’s proposed action and its execution. Deterministic checks help trusted integrations identify risky commands, require approval, and keep a record of what happened.
KECHAAKernel-Enforced Containment for Hijacked AI Agents
What if the agent stops following the plan?
Research into keeping agent tools within an approved task, even when instructions are hijacked. Signed permissions and an experimental Linux backend explore how to enforce those limits beyond the prompt.
I care about the moment an idea becomes something a team can actually use.
At Greenlight, I lead cloud and AI security, helping protect financial infrastructure and data serving millions of families. My independent work follows the same question into AI agents: how do we give powerful systems useful limits?
I also advise Rig Security on identity security and partner with AirMDR on product design, bringing the perspective of someone who builds and operates these systems.
01 / STAY CLOSE
Start with the real problem.
Build around the people who will use the system and the decisions they need to make.
02 / MAKE IT EXPLICIT
Give trust a boundary.
Be clear about what a system can do, where permission ends, and what remains uncertain.
03 / KEEP IT OPEN
Share what you learn.
Turn practice into code, research, standards, and conversations others can build on.