Vulnerabilities have been dormant in your codebase for years
SAST matches patterns. It misses logic. Business logic errors, race conditions, broken auth checks don't show up in a scan. And now attackers have AI to find them for you.
Aikido finds complex vulnerabilities that need advanced reasoning
Eliminate risks that lay dormant
Mythos grade models surface vulnerabilities that have sat in your codebase for years.
Catch vulns that exist between services
Catches broken authorization, IDOR, and subscription-tier bypass by reasoning about what your code is supposed to do.
Analyze your codebase. Review every pull request automatically.
Run a full analysis of your existing code. From there, every new pull request gets checked without any setup beyond connecting your repo.
How Aikido secures your code
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Focus on building, not breaking changes
Skip the security backlog
Every commit gets reviewed automatically, so vulnerabilities never pile up waiting on a scan.
Take the load off engineering
Automated triage and one-click fixes mean less manual security work, without adding headcount.
Catch issues before they cost you
Vulnerabilities get fixed pre-merge, when they're fastest and cheapest to resolve.
Cut audit prep time
Continuously scanned code means less time pulled together answering security questionnaires.
Find complex vulnerabilities inside your codebase
Connect a repo to discover what the reasoning agents find in your codebase.
Or run it alongside your current SAST and see what you’re what's missing.
Static engines still have their place in the SDLC
When to use SAST
When to use AI Code Analysis
FAQs about AI Code Analysis
Static scanners flag patterns like a tainted parameter, a risky API call, a missing check. AI Code Analysis reasons about intent across your codebase to identify issues that need an attacker's perspective: IDORs, broken access control, multi-step exploit chains, and business logic flaws. It complements SAST rather than replacing it.
It reads and reasons about your source code directly. There's no crawl phase, no traffic replay, and no live exploitation. So there's no environment to point at. For live testing against a deployed target, use Aikido Pentest instead.
Supports ALL languages; no limitations whatsoever. AI Code Analysis isn't limited to web apps. Agents reason across whatever source the connected repositories contain, including mobile apps, smart contracts, and desktop apps, across mainstream languages, configuration, and IaC. Monorepos with multiple services are fully supported.
AI Code Analysis focuses agent attention on a coherent set of codebases. Beyond a certain number of repositories, analysis tends to lose focus and quality drops. Contact support if you genuinely need more in a single audit.
- Both products run on a similar agentic engine, but they answer different questions. AI Code Analysis reasons about your source code. Aikido Pentest validates it on your running application.
- Use AI Code Analysis when:
- You want deep code reasoning on logic and architectural flaws — IDORs, broken access control, multi-step chains — without configuring a live environment.
- You don't have a stable staging or QA target, or auth flows aren't ready for live testing.
- You need a fast turnaround with minimal setup: connect a repo, confirm credits, start.
- You want to validate changes in source before they ship to a live deployment.
- You have a difficult-to-test-live codebase, like mobile apps, desktop apps or smart contract
- Use Aikido Pentest when:
- You have a live target and want to validate real exploitability with real traffic.
- You want runtime evidence — reproduction requests, attack-surface mapping, and live agent activity.
- Your scope includes domains, authenticated user roles, and crawl-discovered endpoints beyond what's visible in source.
- You need a live penetration test to comply with SOC 2, ISO 27001, or similar compliance frameworks.
AI Code Analysis reads and reasons about your source code directly. There's no crawl phase, no traffic replay, and no live exploitation, so there's no environment to point at. If you do want live testing against a deployed target, use Aikido Pentest instead.
Inside Aikido, select AI Code Analysis from the main navigation. Then follow the step-by-step instructions to select code repositories and launch your first AI Code Analysis.
Paid in Aikido credits. The Pricing step in the create flow shows the exact credit total before you commit. Cost depends on repo size and complexity.
Individual OWASP members get a 1-time, 200 free credits to try AI Code Analysis. To claim the benefit:
1. Create a free Aikido account with your owasp.org email address
2. Submit your name and OWASP email address on the Aikido website to claim your credits.