Octane Security

1/ Octane’s AI found a high-severity liveness bug in the @Nethermind execution client that could have stopped local block production for 38% of @ethereum mainnet validators. This bug was patched via the @ethereumfndn bug bounty program, with no exploitation observed.

.@Code4rena gave security researchers a place to earn reputation the hard way: against real code, real competition, and with real stakes. It raised the bar for wardens, judges, and protocols. We’re grateful to have competed in that arena. End of an era.

@RobindesboisCT holy heck! well now it's up to you to prove it to the world by showing an accepted bug submission, so far @octane_security are the leaders afaik

At Octane, we combine the most capable Al models with experienced security researchers who work closely with clients from onboarding to remediation. Al may be the engine, but it's the human hand on the wheel that puts its power to work.

Frontier models need expert direction to produce their best results. Human security researchers play an invaluable role in defining context, validating assumptions, and refining a model's noisy output down to pure signal. x.com/octane_securit…

curl is among the most widely deployed codebases ever written. Its founder, Daniel Stenberg, ran Mythos by @AnthropicAl on 176k lines of curl's C code. Here's why the findings show that Mythos is just a model, not the end of cybersecurity. daniel.haxx.se/blog/2026/05/1…

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@defiprime @Ashegan thank you chatgpt

@octane_security @Ashegan Readable permissions are the whole game. If users can't tell what an agent can touch, the security product is mostly theater.

AI is bringing agents to everything online. CLARITY is poised to bring trillions onchain. These two trends will drive the largest reallocation of security spend in a generation. $100B will flow into the only category built to secure this new software stack: agentic security.

@defiprime @Ashegan Octane's security analysis provides exactly that: transparent insights into a system's actual behavior, rather than just its theoretical outcomes

@octane_security @Ashegan trillions onchain only works if agent permissions are readable by humans too. otherwise it's just faster ways to sign bad txs. the constraint layer matters more than the agent demo, especially when treasury ops start using this stuff

Claim: AI-native security analysis can outperform legacy workflows on mission-critical code Evidence: Octane surfaced CVE-2026-5888 in @ChromiumDev, plus memory disclosures in @firefox and @Apple Safari’s WebKit Inference: Discovery is no longer the bottleneck. Validation is

@asen_sec I think i've seen this like over 50 times at this point AI haters -> AI users -> AI evangelists Basically every crypto audit firm did this. Some faster than others, but all slower than those who saw it from the beginning

@ygorz01 @securingdev @1Password @trailofbits the most powerful security engine needs the highest-octane fuel

@octane_security @securingdev @1Password @trailofbits Octane talent keeps on burning brighter

We’re excited to announce that @securingdev is joining Octane as an advisor. Keith Hoodlet is Director of Security Research at @1Password and previously led AI/ML and AppSec at @trailofbits. He also placed 1st in the U.S. Department of Defense's first-ever AI Bias Bounty, a government-run contest for identifying bias and harm in deployed AI systems. Few people in security move as fluently between the theory of model behavior and the practice of real-world exploitation. That intersection is exactly where AppSec is heading. Keith has evaluated nearly every entrant in the AI security category. His read on what teams actually need is that black-box testing has its place, but it's critical to have exploit scenarios, source traces, and enough context to fix the underlying issue, not just flag it. That is exactly what Octane was built to deliver. Adversarial AI and traditional AppSec spent the last decade as separate disciplines, with different conferences, different vocabularies, and different threat models. But the wall separating AI and AppSec is now collapsing. The rise of generative AI coding, AI-assisted vulnerability research, and Octane’s own browser findings are proof that these attack surfaces are merging. The strongest defenses will combine frontier model capabilities with expert human direction, and Keith brings the latter at a level very few people in this industry can match. Welcome aboard, Keith. We’re proud to have you.

"Octane is the first product I've seen that produces what security and development teams actually need: specific, exploitable vulnerabilities with demonstrated impact—along with the context required to fix the issues at the source. I wish I had something like this when I was building the DevSecOps program at Thermo Fisher Scientific." linkedin.com/posts/securing…

@EvanThomasLuke stay tuned for more

@octane_security Very cool thanks for sharing

10: Agentic Security Is a $100 Billion Reallocation

9: Security Belongs in the Pipeline, Not Just the Patch

Fortune 100s are now mandating AI security in procurement as crypto suffers its worst month on record for exploits. @giovignone joined @etnshow this morning to lay out the present and future of agentic security. Below are 10 takeaways from the conversation 👇