Open Secure AI Alliance<\/a> as an inaugural member, contributing an agentic safety dataset of more than 10,000 standardized agent traces, the B3 benchmark built with the UK AI Security Institute using nearly 200,000 adversarial attacks, and open-source red-teaming tooling for AI agents. The alliance, introduced by NVIDIA, aims to standardize how the industry finds and discloses AI vulnerabilities across multi-vendor enterprise environments.<\/p>\nWhat this means for your business<\/h2>\n
The companies most exposed to this announcement are those currently relying on a single closed AI security platform for protection across an increasingly heterogeneous AI stack. As enterprises layer models, orchestration tools, and autonomous agents built by different vendors, the attack surface fragments in ways that no single vendor’s proprietary telemetry can fully see. CISOs running multi-cloud or hybrid environments aren’t choosing between Check Point and a competitor here, they’re choosing whether open, inspectable security frameworks belong in their architecture at all.<\/p>\n
The benchmark angle deserves scrutiny. Check Point co-developed B3 with the UK AI Security Institute, and that government co-authorship gives the benchmark a credibility anchor that purely vendor-produced evaluations lack. The dataset’s methodology, nearly 200,000 human adversarial attacks measuring how backbone LLM selection (the choice of which large language model powers an AI agent) affects security outcomes, is a genuinely useful signal for any CISO evaluating agentic deployments. The specific risk it surfaces, that swapping the underlying model in an agent changes your security posture in measurable, non-obvious ways, is not yet on most enterprise security teams’ radar.<\/p>\n
The honest frame here is that Check Point, selling into the AI security market, benefits when the community adopts its benchmarks as the standard measure of AI agent risk, since benchmark familiarity is a procurement shortcut. That incentive doesn’t make the research wrong, but it should prompt CISOs to pressure-test whether their current AI security vendor’s tooling can actually ingest these open datasets or whether “open standards” in practice means lock-in to whoever built the evaluation harness. If your next AI security contract renewal is in the next 12 months, the question to ask is whether the vendor’s runtime protection (the layer that monitors and intervenes while AI is actively running) can operate independently of their proprietary cloud, because that’s exactly the control this alliance is positioning as the new baseline.<\/p>\n
Concept deep-dive: Agentic AI security<\/h2>\n
Traditional software runs instructions a human wrote. An AI agent runs instructions it generates itself, calling external tools, reading data, and taking actions with minimal human review between steps. Securing that loop requires monitoring not just inputs and outputs but the entire chain of decisions the agent makes mid-task, what researchers call runtime verification. The business relevance is direct: an agent with access to your ERP or cloud infrastructure can cause cascading damage faster than any human attacker if its behavior isn’t continuously checked against a defined safety policy.<\/p>\n
Based on reporting from Check Point Joins the Open Secure AI Alliance to Advance Open, Measurable and Enterprise-Ready AI Security<\/a>, originally published 2026-08-06 08:01:00.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"Share with your CISO Check Point is betting that AI security’s next competitive front is openness, not features. The company has joined NVIDIA’s Open Secure AI Alliance as an inaugural member, contributing an agentic safety dataset of more than 10,000 standardized agent traces, the B3 benchmark built with the UK AI Security Institute using nearly […]<\/p>\n","protected":false},"author":1,"featured_media":8202,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[143],"tags":[238],"tmauthors":[],"class_list":["post-8201","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai-security","tag-ciso"],"_links":{"self":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts\/8201","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/comments?post=8201"}],"version-history":[{"count":0,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/posts\/8201\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/media\/8202"}],"wp:attachment":[{"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/media?parent=8201"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/categories?post=8201"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/tags?post=8201"},{"taxonomy":"tmauthors","embeddable":true,"href":"https:\/\/workai.tv\/news\/wp-json\/wp\/v2\/tmauthors?post=8201"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}