What is AI Pentesting?

AI Pentesting simulates real-world attacks on your app or API using AI models trained on thousands of real exploits. It finds and validates vulnerabilities automatically - no waiting for a human pentester to start.

How is it different from a traditional pentest?

Traditional pentests take weeks to schedule and deliver. AI Pentesting runs instantly, scales to your full environment, and gives reproducible, detailed results in minutes.

How fast can I get results?

Usually within minutes. Connect your target, define scope, and the system starts testing immediately - no coordination, no back-and-forth.

Can I use it for compliance or audit reports?

Yes. Every run produces a full, exportable report with proof-of-exploit details that meet OWASP, ISO 27001, and SOC 2 evidence standards.

Platform

Code

Code Audit

Find complex vulnerabilities hidden in your codebases.

SAST catches known patterns. Code Audit finds the auth & business logic flaws that static scanners can't find. Find them before someone else does.

Start Now

In 5 Minutes

How it Works

Your data won't be shared · Read-only access · No CC required

Trusted by 50k+ orgs

Loved by 100k+ devs

4.7/5

THE BLIND SPOT

Find vulnerabilities that static engines miss

Static analysis finds vulnerabilities with pattern matching, but misses logical flaws like business logic errors, race conditions, and broken auth checks. These require advanced reasoning to find.

Frontier AI models just made finding and exploiting logic flaws cheap.

THE SOLUTION

Find what static analysis misses

Code Audit reasons over your source code, not a running app. Point it at one repo or many, including undeployed and feature-flagged code, with no staging environment or credentials to set up.

Prevent unauthorized access

Catches broken authorization, IDOR, and subscription-tier bypass by reasoning about what your code is supposed to do.

Scan your repo

Catch vulns that span files and repos

Follows references across files, modules, and repositories to surface attack paths that no single file reveals.

Scan your repo

Uncover critical attack chains

Connects low-severity findings across your source into one critical chain that pattern matching would never link.

Scan your repo

HOW IT WORKS

Autonomous security reasoning in three quick steps

STEP 1

Connect your repo

AI Code Audit runs on web apps, mobile, smart contracts, monorepos, and IaC straight from your repo, without staging URLs, auth setup, or agents to deploy.

Connect repo

Step 2

The agents reason across your codebase

The audit traces data flow, ownership checks, permission boundaries, and service interactions to catch where the logic breaks down, not just where a single line looks off.

Start an Audit

Step 3

See exploitable findings with full evidence trails

Each finding shows what's vulnerable, why it's exploitable, and how an attacker would reach it, with a full reasoning trace.

Start in 5 min

The benefits of Aikido code audit

Reasoning, not pattern matching

Discovers hard-to-find bugs like cross-tenant data leakage that aren't found using classic pattern matching.

10× cheaper than a pentest

Pentest-depth reasoning across your entire codebase, in minutes instead of hours.

Zero setup, just connect a repo

No staging environment, no traffic to replay, no agents to deploy. Point it at your source code to find vulnerabilities.

Mythos-ready defense

Defends against the kind of attacks frontier models now make trivial. Reasoning that matches what attackers can.

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.

Start your code audit

In 5 min

Book a demo

SAST VS CODE AUDIT

Static engines still have their place in the SDLC

SAST

When to use SAST

You want fast, every-commit feedback common vulns

You need broad, continuous coverage across every PR

You’re enforcing PR-time gates in CI/CD on known bad patterns

You want coverage for secrets exposed in Git history

Start a SAST scan

CODE AUDIT

When to use Code Audit

You want to catch logic and architectural flaws like IDORs, broken access control, business logic bypasses, and more

You need cross-file or cross-repo reasoning that follows references through services, modules and helpers

You’re auditing a high-stakes change, release, or codebase

You want deeper context on a specific finding

Start your code audit

Faq

FAQs about Code Audit

How is Code Audit different from a SAST scanner?

Static scanners flag patterns like a tainted parameter, a risky API call, a missing check. AI Code Audit 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.

Why doesn't AI Code Audit need a live URL?

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.

What apps and languages are covered?

Supports ALL languages; no limitations whatsoever. Code Audit 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.

Why is there a repo limit?

Code Audit 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.

When to pick AI Code Review and When to pick AI Pentest?

Both products run on a similar agentic engine, but they answer different questions. Code Audit reasons about your source code. Aikido Pentest validates it on your running application.
Use AI Code Audit 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.

Why doesn't AI Code Review need a live URL?

Code Audit 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.

How do I get started?

Code Audit is in the sidebar menu in the Attack section.

How much does code audit cost?

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.