Artificial intelligence ( AI ) security startup has raised$ 9 million in seed funding to expand its research and development ( R& D) and go-to-market work.
Pillar Security’s solution is designed to meet the needs of a new age in which “software has gained agency and data itself has become executable, ” Pillar Security CEO and Co-founder said in a Wednesday ( April 16) media release.
“Pillar’s systems, backed by real-world AI risk intelligence, is built with this knowledge, delivering a new category of safety designed expressly for AI-related protection risks, ” Sarig said. “We are redefining software protection to suit the agentic and automatic application of the Intelligence Age. ”
The company ’s security system is specifically designed for AI-integrated software systems and addresses AI-specific risk areas like dodging attacks, data poisoning, data privacy and intellectual property leak, according to the release.
The system integrates with an organization’s existing code libraries, data infrastructures and AI/ML platforms, immediately maps all AI-related assets across the business, tests AI models and deploys guardrails that actively prevent failures, the release said.
, direct investment at , which led the funding round, said in the release that Pillar understands that it takes more than incremental improvements to secure technology at a time when more agentic AI solutions are being deployed within corporations and the risk area is expanding.
“Their visionary approach sets a new standard for how organizations secure and manage intelligent systems, ” Manousos said.
are different from rules-based bots, where actions are pre-determined, PYMNTS reported in March. built on top of generative AI models can dynamically generate responses, understand , adapt and learn while having autonomy and decision-making capabilities to complete a task given by the user.
That means chief financial officers should approach agentic AI like past forms of automation they’ve incorporated — evaluating what processes can benefit, identifying costs that can be removed, finding potential benefits from accelerating work, and assessing risks to finance and reputation , , senior lecturer at the MIT Sloan School of Management, told PYMNTS in March.
Fifty-five percent of chief operating officers say their companies have already implemented AI-based automated management systems — a threefold increase from earlier in the year— according to the PYMNTS Intelligence report, “. ”