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Octane Security
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Octane Security
@octane_security
The AI-native security firm protecting mission-critical software.
New York
octane.security
Joined July 2023
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  • Pinned
    user avatar
    Octane Security
    @octane_security
    Apr 20
    Just three engines handle 99.7% of browser traffic. Octane found vulnerabilities in all of them. This is the same security analysis we've used to secure smart contracts. Now we're targeting the mission-critical applications the rest of the world runs on.
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    128K0128K
  • user avatar
    Octane Security
    @octane_security
    Jul 16
    This is real defense-in-depth: audits, contests, formal verification, and AI-native analysis all on the same codebase. The best teams don't just pick a vendor, they build a security stack. Octane ๐Ÿค @TenorFinance
    user avatar
    Tenor
    @TenorFinance
    Jul 15
    Replying to @TenorFinance
    Thank you to the teams and researchers who helped us secure the Tenor codebase: @cantinasecurity, @sherlockdefi, @ObsidianAudits, @TrustSecAudits, @GuardianAudits, @octane_security, @ZeroCool_AI, @alexzoid for formal verification, and @blockaid_ for ongoing monitoring. Launch
    5970597
  • user avatar
    Octane Security
    @octane_security
    Jul 14
    .@openlayerco's stack had passed dependency scanning, secret scanning, GitHub and AWS-native scanning, and an annual third-party pentest. Then Octane's agentic analysis found a bug none of those tools are built to see. ๐Ÿงต
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    8730873
    user avatar
    Octane Security
    @octane_security
    Jul 14
    Replying to @octane_security
    Our analysis of AI-native codebases shows authorization is the dominant risk vector for this entire category of software. Cross-tenancy and access-control flaws lead the distribution by a wide margin.
    user avatar
    Octane Security
    @octane_security
    Jun 25
    Article cover image
    Article
    Where Your Bugs Hide Now: Findings From 1,200 Octane Reviews
    AI-native workflows bring different risk profiles, which means your most important bugs have moved. Here's the data on where they went and why continuous, context-aware analysis is how to find them....
    91091
    user avatar
    Octane Security
    @octane_security
    Jul 14
    If your security stack is dependency scanning plus an annual pentest, you have coverage for the last decade's vulnerabilities and a major blind spot for this one's. Find your vulnerabilities before someone else does:
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    Reading Between the Lines: How Octane Found What Pentests Couldn't for Openlayer
    From octane.security
    60060
  • Octane Security reposted
    user avatar
    Octane Security
    @octane_security
    Jun 2
    Maple's 97% true positive rate is the result of Octane's specialized detectors and continuous context refinement. This isn't a generic benchmark, it's what @maplefinance gets on every PR.
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    00:06
    user avatar
    Maple
    @maplefinance
    Jun 2
    At Maple, security is core to how we build. Over the last few months, @octane_security has become a key part of our development workflow. Throughout April, Octane maintained a 97% true positive rate, delivering high-signal findings.
    2.1K02.1K
  • user avatar
    Octane Security
    @octane_security
    Jul 2
    Octane has been approved for @AnthropicAI's Cyber Verification Program. Verified access lets Octane continue to use frontier AI for legitimate vulnerability discovery at the level real security research demands. Here's the story of why that matters. ๐Ÿงต
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    2.9K02.9K
    user avatar
    Octane Security
    @octane_security
    Jul 2
    Replying to @octane_security
    Cyber capability is no longer one risk category among many. It is now the gating criterion: the one thing that determines who gets access to the most powerful models on Earth. That's the world Octane has been building for since day one.
    user avatar
    Dario Amodei
    Anthropic
    @DarioAmodei
    Apr 7
    Replying to @DarioAmodei
    The dangers of getting this wrong are obvious, but if we get it right, there is a real opportunity to create a fundamentally more secure internet and world than we had before the advent of AI-powered cyber capabilities.
    3710371
    user avatar
    Octane Security
    @octane_security
    Jul 2
    The Mythos/Fable saga proves the cybersecurity access gate is now real. The question for every company building mission-critical software is which side of it your security research runs on.
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    Octane Joins Anthropicโ€™s Cyber Verification Program
    From octane.security
    2280228
  • user avatar
    Octane Security
    @octane_security
    Jun 26
    "Explore wide, exploit deep" is exactly the workflow that won us the Monad audit contest. The synergy is that AI excels at breadth of coverage while humans bring an unmatched depth of judgement. Thanks for the shoutout @pkqs91 and congratulations on the five critical findings.
    user avatar
    pkqs91
    @pkqs91
    Jun 25
    Article cover image
    Article
    How I Made $200k With Codex in 3 Months
    Earlier this year, I made $200,000 using Codex. The money came from Web3 bug bounties, which are programs where projects pay security researchers for live bugs. The public bounties can be found on my...
    7400740
  • user avatar
    Octane Security
    @octane_security
    Jun 25
    AI-native applications struggle with cross-tenant data exposure, frequently failing at the authorization layer. ๐Ÿ”“ Meanwhile, custom protocol logic is the biggest issue onchain. ๐Ÿ”—๐Ÿ’ฅ We combed through 1,200 Octane analyses to map where your bugs are hiding now.
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    user avatar
    Octane Security
    @octane_security
    Jun 25
    Article cover image
    Article
    Where Your Bugs Hide Now: Findings From 1,200 Octane Reviews
    AI-native workflows bring different risk profiles, which means your most important bugs have moved. Here's the data on where they went and why continuous, context-aware analysis is how to find them....
    7920792
  • user avatar
    Octane Security
    @octane_security
    Jun 25
    Article cover image
    Article
    Where Your Bugs Hide Now: Findings From 1,200 Octane Reviews
    AI-native workflows bring different risk profiles, which means your most important bugs have moved. Here's the data on where they went and why continuous, context-aware analysis is how to find them....
    1.1K01.1K
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