AI-Native Security for Mission-Critical Software
Octane is the AI-native security standard for mission-critical software, helping engineering teams find exploitable vulnerabilities in their codebases.
Octane is the AI-native security standard for mission-critical software.
The Problem
Software is changing fast. AI-generated code, faster release cycles, and sprawling dependency graphs have left point-in-time reviews insufficient and conventional tools too noisy. Teams still need to answer one question above all: what is actually exploitable in my codebase right now?
Contextual Analysis
Octane answers that question. Instead of flagging patterns in isolation, Octane analyzes code in context, traces execution paths across the full system, and surfaces real vulnerabilities with exploit reasoning, root-cause analysis, severity, and fix guidance. It reviews every pull request in context, helping teams catch bugs before they reach production.
Mission-Critical
From core internet infrastructure to onchain financial systems, we are building AI-native security analysis for software with stakes. Octane is language agnostic and built to secure mission-critical software at every layer of the stack.
Security Reasoning
Octane reasons through code the way a strong security researcher would: tracing how functions interact with each other, validating whether a suspicious pattern is actually reachable and material, and reconstructing attack paths end to end. The result is higher signal findings, clearer prioritization, and fixes engineers can act on.
Who we are
Octane's team has spent careers in frontier cybersecurity, critical physical infrastructure, and national security.
Each came to Octane because they recognized that the manual-review model, however talented the people inside it may be, cannot keep pace with modern software.
Octane is the tool they wished they'd had at every prior engagement.
Team members come from prior experience at Trail of Bits, Raytheon CODEX, Johns Hopkins Applied Physics Laboratory, OpenZeppelin, KPN, Amazon Web Services and REQON
Why customers choose Octane
Customers choose Octane because they've run the scanners, paid for audits, and still found bugs in production.
Manual reviews are bandwidth-limited
They catch bugs only where a human can focus attention.
Static analyzers rely on predefined patterns
They detect only what someone has already written rules for.
Octane finds what others cannot
Novel vulnerabilities across functions, files, and execution paths.
Security analysis at machine scale
Continuous reasoning without human bandwidth limits.
Setting the standard, now and in the future
The next security standard will be embedded in the development workflow itself. Teams will build higher on top of more secure foundations, with analysis at every layer of the stack.
An adversarial AI-native approach is the standard the next decade of software will be up against and defended with. It’s the standard we’re building at Octane.
