Kai

We're growing fast because we're building fast. 🚀 The people joining Kai have done hard security work elsewhere, and they come here to do the harder version of it. What they get is rare in this industry, a green field. The platform is still being shaped, so the decisions you make are reflected in the product. It helps that the team you make them with has built and led through moments like this before, from the founders on down. We have decades of security and AI experience pointed at a problem that is absolutely necessary in this moment. If that sounds like your kind of challenge, come build with us: https://bit.ly/4dtNK6O

Flashy AI marketing in security is everywhere. 🎇 Nearly all of it is a chatbot sitting on top of the same broken stack - optimizing prioritization, replacing one tool with another, adding AI to decade-old processes. At Kai, we didn't do that. Galina Antova and Damiano Bolzoni purposely threw out the process entirely and rebuilt it for a world where machines execute end-to-end. To zero risk. A shift to machine-led security is what makes it achievable. Autonomous defense is not a product category. It is the only architecture that matches the threat. And we’re just getting started. 🚀 Dive into how we use Anthropic's Claude as the analysis layer to help our customers get to zero remaining risk: https://bit.ly/4oKs7mM

⚠️ This month, Sysdig and Sygnia each documented autonomous agents running the full attack chain with no human at the keyboard. Each attack pulled it off without a single zero-day, just known flaws and default keys on exposed, unpatched infrastructure. When the first alert and the finished breach land minutes apart, detection is already losing, just adding more AI into your detection stack does not fix that, because detection only starts the clock after the agent is inside. These agents feed on known, unaddressed exposure, so the move is to starve them of it before the window opens. That is where Kai fights AI with AI, cutting the millions of findings your scanners already produce down to the few genuinely reachable in your environment, so the fix that closes the door gets done first. More on the AI threat landscape from Lucian Constantin at CSO Online: https://bit.ly/4pDik2A

Prioritization has never solved the problem that bottlenecks remediation. That problem is ownership. 💯 When a finding surfaces and no one can say who owns the fix, it sits. 64% of remediation decisions get sidelined for that reason, unassigned while the backlog grows. Mean time to remediate now runs past 50 days, per Gartner, and for most teams it is not improving because this is structural. More analysts and better dashboards do not close it. Meanwhile the time from CVE disclosure to first confirmed exploitation in the wild is under five hours, per the Zero Day Clock. A 50-day timeline and a five-hour window are on a collision course, and prioritization alone was never going to change that. It only managed what was already too slow to matter. There is a better way, and we will show you at Black Hat. See the Kai Autonomous Defense Platform put enterprises on the path to zero live at booth 3245. Book a meeting with the team at https://bit.ly/4wgNBuI #BHUSA

By now you have probably seen that roughly 19,000 sensitive files tied to India's largest nuclear plant surfaced on the dark web. The detail that we want to draw attention to is how they got out. 👀 There was no exploited vulnerability and no missed patch. The way in was a third-party data center. Damiano Bolzoni, our co-founder and CTO, laid bare the issue plainly, "Not everything is related to a vulnerability." Some of your most real risk lives in the vendors holding your data and the detection you assumed was covering you, and those are the places attackers reach first. A breach like this is a reminder that reducing risk means seeing exposure holistically, including the third parties and detection a scanner never checks. https://reut.rs/4vCnAoj

One of the most important investments any security company makes is in its people. 💯 At Kai that means a specific kind of person. Highly capable and experienced, dependable, and wired with an ownership mentality. The rare part of joining now is the green field in which you can operate. You get to rebuild security from first principles in an AI-native environment, without a decade of someone else's technical debt to work around. If that excites you, check out our careers page: https://bit.ly/47fE78w

The hardest question a careful CISO asks about an autonomous system is whether they can trust what it does when no one is watching. Kai earns that trust by design. Security experts define the workflows and the expected outcomes, and those are engineered into the product, so you get pointed results every time instead of a model improvising. That reliability holds at enterprise scale because the architecture treats how the model is used as part of the security posture from the very start. Our co-founder and CTO Damiano Bolzoni lays out that thinking in the Anthropic + Kai case study: https://bit.ly/4xEVbAa

New research shows that vulnerabilities now make up 42.6% of critical enterprise exposures. A year ago that number was was 18.7%. 📈 Which means the backlog of findings is growing faster than any team can work through it. So teams rank the backlog, fix the top of it, and accept that everything below the cutoff stays open. That triage-by-priority approach quietly breaks the moment the list grows faster than anyone can read it, because the vulnerability you skipped is the one that gets exploited. Running that same backlog through Kai changes the math. The investigation happens at machine speed across every finding, so a team of five does the work of fifty and people become the owners of outcomes instead of the ones grinding through the queue.

Fixing one vulnerability is a mad-dash relay race. 🏃♀️➡️ Discovery sprints to one team, ownership to the next, risk assessment to a third, remediation to whoever is still holding the baton. That hand-off has historically crossed three to five teams, and every exchange drops time on the floor. On the other side, however, threats do not wait for the baton pass. They keep moving while the ticket sits in a queue. Autonomous defense only works when the whole race runs in one place, at machine speed, with no time wasted on exhanges. That is the difference between watching exposure pile up and closing it as fast as it appears.

An AI agent just ran a ransomware attack from start to finish on its own for the first time. ⚠️ Behind it is a threat operation known as JadePuffer. The attacker's agent broke into a server, harvested credentials, encrypted 1,342 configuration records, and redeployed a corrected payload 31 seconds after it hit an error along the way. Thirty-one seconds to catch its own mistake and fix it. That is the clock a defender is now up against. No human team triages, decides, and recovers that fast. But attackers are already operating at lightning fast machine speed. Defenses that still run at human speed are behind before they begin. This is the whole case for autonomous defense, made by the other side.