Today, @Abnormal is launching a new AI Security product suite to help customers govern AI, secure AI, and defend against rogue AI. This new suite is built on the same behavioral AI technology that 30% of the Fortune 500 use for email and identity security. Abnormal designs, trains, and deploys our own AI, and we've spent nearly a decade mastering how to understand the normal behavior of business, detect behavioral anomalies, and respond at machine speed.  We're extending our behavioral modeling to include non-human identities, applications, and cloud identities. This enables the same behavioral AI to now power 5 new products in our AI Security product family: 1) AI Governance discovers your AI, uncovers shadow AI, shows who is using what, and how much it costs 2) AI Cloud Security detects + contains AI cloud breaches with behavioral AI and honeypots 3) AI Employee Guardrails enables employees to use AI without leaking data or triggering unintended actions 4) AI Agent Security inventories your agents and ensures they behave as intended 5) AI Security Workbench lets you use AI to run investigations with Abnormal models and without the guardrails AI Governance is already GA and can be installed in one click from our app store. AI Cloud Security is available today for priority customers, and the other products are in private preview for design partners. Learn more on our website and talk to your customer rep to cut the waitlist! abnormal.ai/blog/ai-security…

I posted a visual explanation of how the recent OpenAI breach to help the non security expert understand what happened, and how Behavioral AI can help with detect these type of incidents And on a lighter note, i had fun with web design evanreiser.com/blog/cybersec…

Last week, @Abnormal announced AI Cloud Security, and I wanted to share our internal prototype about how we’re using Abnormal’s core behavioral AI detection and response technology to stop the next generation of AI attacks. AI Cloud Security is built on the same core architecture and technology that we use for our email and identity security products that protect ~30% of the Fortune 500 today: 1) Map all the human, non-human, and cloud identities 2) Build behavioral models to understand baseline / expected behavior 3) Detect behavioral anomalies 4) Respond autonomously at machine speed We’ve spent the last several years building the core technologies, and I’m excited to start sharing our new AI security products as we build them with this audience. These products will be available to customers this year, but in the meantime, we are working with select design partners to ensure their success in the largest, most sophisticated enterprise environments. We are learning and building every day, and I’m excited to share more as we go!

As the CEO of one of the largest AI security companies here are my thoughts: xitter.cf/evanreiser/status/2098…

It took 3 hours and one token to fully compromise an enterprise cloud environment. Anthropic's report from today yet another wake-up call. AI-powered attacks are already here, you just haven't heard about them yet.

AI is making it easier for attackers to operate at scale and giving defenders better ways to detect and stop them. Which side wins depends on how fast the security industry adapts. @Abnormal signed @OpenAI's call for collective action on cyber defense because no single company can solve this alone. We started Abnormal to defend organizations against attacks that exploit human behavior and trusted identities, and the letter argues for putting powerful defensive AI in the hands of every organization, especially the ones with the fewest resources. Software vulnerabilities and malware are still real threats, but the most costly attacks now target people through compromised identities, account takeovers, and social engineering. Insider threats and nation-state infiltration now run through text, voice, and video deepfakes. They wear legitimate identities and behave in slightly wrong ways, so they slip right past tools built to catch known bad software. Those attacks deserve the same urgency as the vulnerabilities dominating the headlines. Stronger defenses will require closer coordination between AI labs, security companies, and the organizations they protect. That's why we signed, and why we're working with OpenAI and other industry leaders to advance defensive AI. Bad AI will keep getting better. Good AI has to get better faster. abnormal.ai/blog/openai-cybe…

This week, @Abnormal announced a partnership with @OpenAI to accelerate secure enterprise AI adoption and strengthen cyber defense. At Abnormal, we train and deploy Behavioral AI to stop highly sophisticated cybersecurity attacks that conventional tools miss, and OpenAI builds the frontier models that help defenders investigate those threats faster. As generative AI gives attackers new speed and sophistication, defenders need both kinds of innovation working together to keep up. We're also joining the OpenAI Daybreak Cyber Partner Program as an early security partner, and we're exploring how OpenAI's frontier models and Codex Security can complement our Behavioral AI, including new capabilities to help security teams monitor AI agent activity and catch anomalous behavior. Abnormal is expanding our own use of OpenAI internally, across our business operations and software development. We're early on all of this, and there's a lot more coming: abnormal.ai/blog/abnormal-op…