๐๐ฎ๐ฟ๐๐ป๐ฒ๐ฟ ๐ท๐๐๐ ๐ป๐ฎ๐บ๐ฒ๐ฑ ๐ฃ๐ถ๐น๐น๐ฎ๐ฟ ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ ๐ฎ ๐ฃ๐ถ๐ผ๐ป๐ฒ๐ฒ๐ฟ ๐ถ๐ป ๐๐ต๐ฒ ๐ฎ๐ฌ๐ฎ๐ฒ ๐๐ฎ๐ฟ๐๐ป๐ฒ๐ฟ ๐๐บ๐ฒ๐ฟ๐ด๐ถ๐ป๐ด ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐ ๐ค๐๐ฎ๐ฑ๐ฟ๐ฎ๐ป๐ ๐ณ๐ผ๐ฟ ๐๐ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ โ ๐ฆ๐๐ฎ๐ฟ๐๐๐ฝ ๐ฉ๐ฒ๐ป๐ฑ๐ผ๐ฟ๐, ๐ฎ๐ป๐ฑ ๐ฝ๐ผ๐๐ถ๐๐ถ๐ผ๐ป๐ฒ๐ฑ ๐ฃ๐ถ๐น๐น๐ฎ๐ฟ ๐ณ๐๐ฟ๐๐ต๐ฒ๐๐ ๐ผ๐ป ๐๐ต๐ฒ ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐ ๐๐ถ๐๐ฟ๐๐ฝ๐๐ถ๐ผ๐ป ๐ฎ๐
๐ถ๐ ๐ฎ๐บ๐ผ๐ป๐ด ๐๐ต๐ฒ ๐ฃ๐ถ๐ผ๐ป๐ฒ๐ฒ๐ฟ๐.
Two years after we started the company, Gartner tracks the problem we set out to solve as a market in its own right and puts Pillar at the disruptive edge of it.
The report, written by Meghan Hollis, Dionisio Zumerle, Dennis Xu, and Marissa Schmidt, covers the market for securing the AI applications and agents that enterprises build and run themselves, a problem that has grown from protecting chatbots to protecting software that holds credentials, uses tools, and acts on its own.
Pillar was built for exactly that problem. ๐ง๐ต๐ฒ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ ๐ฑ๐ถ๐๐ฐ๐ผ๐๐ฒ๐ฟ๐ ๐ฒ๐๐ฒ๐ฟ๐ ๐๐ ๐ฎ๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ฎ๐ป๐ฑ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฎ๐ฐ๐ฟ๐ผ๐๐ ๐ฐ๐ผ๐ฑ๐ฒ ๐ฟ๐ฒ๐ฝ๐ผ๐๐ถ๐๐ผ๐ฟ๐ถ๐ฒ๐, ๐๐/๐๐ ๐ฝ๐ถ๐ฝ๐ฒ๐น๐ถ๐ป๐ฒ๐, ๐ฐ๐น๐ผ๐๐ฑ, ๐ฆ๐ฎ๐ฎ๐ฆ, ๐ฎ๐ป๐ฑ ๐ฒ๐ป๐ฑ๐ฝ๐ผ๐ถ๐ป๐๐, ๐ฎ๐ป๐ฑ ๐บ๐ฎ๐ฝ๐ ๐๐ต๐ฎ๐ ๐ฒ๐ฎ๐ฐ๐ต ๐ผ๐ป๐ฒ ๐ฐ๐ฎ๐ป ๐ฟ๐ฒ๐ฎ๐ฐ๐ต.
๐ฅ๐ฒ๐ฑ๐๐ฟ๐ฎ๐ฝ๐ต, our autonomous red-teaming agent, tests those workflows continuously for goal hijacking, prompt injection, tool misuse, memory poisoning, and privilege escalation, and produces replayable evidence of every successful attack path.
๐ฅ๐๐ป๐๐ถ๐บ๐ฒ protection then evaluates agent activity as it happens and blocks harmful actions before they execute. A finding from RedGraph becomes a runtime policy, and the next test run confirms the fix holds.
๐๐ฒ๐ต๐ถ๐ป๐ฑ ๐๐ต๐ฒ ๐ฝ๐น๐ฎ๐๐ณ๐ผ๐ฟ๐บ is a research team that has published some of the first documented real-world attacks on production AI agents, and the open-source SAIL framework, which practitioners have downloaded more than 50,000 times.
๐ง๐ต๐ฎ๐ป๐ธ ๐๐ผ๐ ๐๐ผ ๐ผ๐๐ฟ ๐ฐ๐๐๐๐ผ๐บ๐ฒ๐ฟ๐, ๐ฝ๐ฎ๐ฟ๐๐ป๐ฒ๐ฟ๐, ๐ฎ๐ป๐ฑ ๐ถ๐ป๐๐ฒ๐๐๐ผ๐ฟ๐, ๐ฎ๐ป๐ฑ ๐๐ผ ๐๐ต๐ฒ ๐๐ต๐ผ๐น๐ฒ ๐ฃ๐ถ๐น๐น๐ฎ๐ฟ ๐๐ฒ๐ฎ๐บ!
๐ฅ๐ฒ๐ฎ๐ฑ ๐๐ต๐ฒ ๐ณ๐๐น๐น ๐ฎ๐ป๐ป๐ผ๐๐ป๐ฐ๐ฒ๐บ๐ฒ๐ป๐:
pillar.security/blog/pillar-โฆ