“Whereas the world met the early indicators of this revolution with deep cynicism and tried to strike it down with outdated instruments like DLP [data loss prevention], the ache we noticed in our clients’ eyes and their starvation to really perceive AI satisfied my co-founder and me {that a} elementary shift was underway,” wrote Matan Getz, co-founder and CEO of Intention Safety, in a blog announcing the acquisition. “We firmly believed AI was destined to hitch community, endpoint, identification, knowledge, and cloud as a core technological and cybersecurity basis.”
By integrating Intention’s inspection know-how into Cato’s distributed enforcement layer known as Single Go Cloud Engine, or SPACE, Cato’s platform will be capable to analyze AI interactions in real-time, in keeping with Cato. The potential will be capable to monitor AI prompts, responses, agent workflows, and mannequin outputs, which is able to present clients with deep visibility into AI.
“This isn’t merely DLP repackaged for AI. It’s a new safety assault floor requiring model new safety capabilities, and Intention’s know-how was purpose-built to ship,” wrote Cato’s Kramer in a blog. “Enterprises will want controls over AI interactions, simply as they did for net, cloud, and e-mail in previous many years. What’s completely different this time is the pace. AI adoption is measured in months, not years. Simply as SASE grew to become the inspiration for a brand new period of networking and safety, enterprises now want to increase this basis for the pace and complexity of AI.”
