Human expertise at supercomputer scale
Mission-critical software needs the highest standard of AI-native analysis.
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An ARE is a researcher-led security engagement with the deepest level of coverage.
A senior Octane researcher defines the context, frames the hypotheses, and steers the analysis across iterative, adversarial passes.
You get findings that are validated under real-world conditions, each with a runnable proof of concept and remediation a developer can ship the same day.
The binary that's been costing you coverage
Manual audits offer depth but cannot exhaust a modern codebase in any reasonable timeframe.
Automated tools offer breadth but reason poorly about incentives, invariants, and emergent behavior.
ARE collapses that binary into a single workflow.
How an ARE works
Context
Before any analysis runs, a senior researcher works with your team to build the structured context layer: architecture, design assumptions, economic mechanics, threat model, system invariants. This is the step that turns generic compute into directed compute. Without it, no amount of GPU throughput matters.
Exploration
Octane ingests the codebase and enumerates execution paths at scale. It traces calls across modules, maps exploit candidates, and reasons about edge cases and cross-module interactions that would time out under any one-pass workflow.
Evaluation
The researcher evaluates the signal, cuts noise, and focuses analysis on the most promising paths. Hypotheses are refined as increased context sharpens every subsequent pass.
What you get from an ARE
Every ARE concludes with a deliverable built to survive scrutiny from your reviewer, your auditor, or a counterparty negotiating impact.
For every critical, high, and medium-severity finding:
- A concrete exploit path
- A documented root cause
- A runnable proof of concept
- Actionable remediation guidance
For the engagement as a whole:
- Hardening recommendations that refine your threat model
- A sharpened context layer your team can carry forward into future CI/CD analyses
When the stakes won't let you settle
Escalate to ARE when the cost of being wrong is too high for anything less than the most intensive analysis available
Difficult and expensive to replicate with manual review alone
Still have questions?
Talk to a researcherAudits run on a calendar, but attackers don't.
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FAQ
Octane covers Ethereum and all EVM-compatible chains (Arbitrum, Optimism, Base, Polygon, BNB Chain), Solana, Aptos, Sui, and Cosmos-based chains, with additional networks added on a rolling basis. Coverage extends to Layer-2 rollups, cross-chain bridges, and protocol code at the validator and consensus layer – the surfaces where the largest losses have historically been concentrated.
Octane secures all mission-critical software from blockchains to browsers.
Octane is fully language agnostic. If you write code in it, Octane can analyze it.
Most teams are reviewing live Octane findings within hours, not weeks. Octane connects directly to your code repository, runs initial analysis on the existing codebase, and begins surfacing findings on every subsequent commit. No production access required. Full integration, including CI/CD connection and team onboarding, can be done in less than a day.
Octane validates every finding against the full execution context of your codebase rather than the file a flaw appears in. The platform traces whether a suspicious pattern is actually reachable, exploitable, and material — discarding findings that look risky in isolation but are constrained by upstream guards. Engineering teams receive a triaged list of real, exploitable issues instead of a flood of theoretical alerts.
Octane uses domain-specific AI agents purpose-built for security analysis to read code the way a senior auditor would. Octane traces data flow, models attacker behavior, and reasons about how functions interact across the full codebase. Unlike pattern-matching scanners, Octane evaluates business logic and protocol-specific intent, surfacing the kinds of vulnerabilities traditional tools miss because they require reasoning, not just rules.
A traditional smart-contract audit is a point-in-time human engagement – typically four to eight weeks long – that ends when the report is delivered. Octane is continuous: it reviews every commit, dependency change, and protocol upgrade with the same depth as a human auditor, but without the four-week latency or six-to-seven-figure per-engagement price tag. Most leading protocols pair Octane with human audits, treating Octane as the layer that catches what's introduced between review cycles.
Octane provides deeper insights than SAST or DAST tools by tracing vulnerabilities through your codebase to show you how they can be exploited. SAST tools rely on pattern-matching against known signatures and flood teams with low-context findings; DAST tools require a running application and miss anything not exposed at runtime. Octane reasons through business logic and full execution paths, surfacing the real, exploitable issues that matter. As such, Octane can replace your need for SAST and DAST tooling.
Halborn, Trail of Bits, OpenZeppelin, and ChainSecurity are human-led audit firms that engage on point-in-time projects. Octane is a continuous AI security platform. Many leading protocols pair the two: a respected human audit at major release milestones, and Octane in the background reviewing every commit, dependency, and upgrade in between. The role of Octane is to ensure the security posture you paid an auditor to certify does not decay between engagements.
Yes, and it's one of the most common reasons enterprise teams adopt Octane. AI assistants like GitHub Copilot, Cursor, and Claude Code now generate a substantial share of new commits, yet they frequently introduce subtle authentication, input-validation, and access-control flaws. Octane reviews AI-generated code with the same depth as human-written code, providing the continuous security review that AI-assisted development requires to ship safely.
Yes. Octane integrates natively with GitHub and GitLab, surfaces findings directly in pull requests, and plugs into CI/CD pipelines. Findings can be configured to block merges, comment on PRs, or feed downstream ticketing — meaning security review becomes part of every developer's existing workflow rather than a separate gate.
Yes. Every Octane finding includes a traced exploit path showing how the vulnerability would be reached, what an attacker would do to trigger it, and what assets would be at risk. Rather than flagging a line of code, Octane reconstructs the attack sequence end-to-end so engineering teams can prioritize by real impact and reproduce the issue in test before shipping a fix.
