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

AI SAST

Code analysis that reasons, not just scans.

Rule-based SAST engines catch known patterns. But what about business logic flaws, broken access controls, and IDORs that don’t fit a pattern at all?

Aikido AI SAST is a new engine built on reasoning models, that analyses your code like a senior security engineer to catch what rules can’t.

Start your code review

In 5 Minutes

Book a demo

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

A new engine for a different class of vulnerabilities

Rule-based static analysis is structurally limited. It can only find vulnerabilities that fit a known pattern. That leaves SAST blind to the vulnerabilities that require business and code context to identify. Aikido AI SAST finds them for you.

What traditional SAST handles

Known vulnerability patterns

SQL injection, XSS, command injection

Hardcoded secrets and credentials

Insecure deserialization

Path traversal, SSRF

What only AI SAST finds Logic that looks correct but isn't. 

Broken access controls, including IDORs

Business logic flaws (think: paywall bypasses)

Authentication bypasses in multi-step flows

Race conditions that depend on timing

These are the vulnerabilities behind the breaches that make the news.
No rule will ever catch them because they require understanding what the code is supposed to do, and reasoning about where it fails.

COMPARING FINDINGS

What each type of SAST engine catches.

Legacy SAST makes noise

Finds the obvious vulnerabilities but buries them in a pile of noise. Pattern matches the SQL sink and flags it. Also flags 40 more that aren't reachable and you need to figure that out.

Start your code review

Aikido SAST finds signal

Knows which findings actually matter. Aikido works out which findings are actually exploitable and pushes those to the top. The rest get filtered out.

More about Aikido SAST

Aikido AI SAST reasons across your code

Catches what no rule could describe. An IDOR across the order, payment, and user services. No syntactic pattern to match. Only a model reasoning about ownership and intent finds it.

Start your code review

WHAT THE ENGINE FINDS

Find vulnerabilities that used to need a pentester to dig up.

Broken authorization and access control

AI SAST looks at what your code is supposed to enforce, not just what it literally says. That's how it catches IDOR, privilege escalation, and subscription tier bypasses that a rule-based scanner would miss.

Start your code review

Vulnerabilities that live between services

One service trusts another. That trust breaks at the boundary. Traditional scanners look at files in isolation and miss it. AI SAST follows the logic across services to where it actually falls apart.

Start your code review

Attack chains buried in low-severity findings

A minor issue in one place, connected to something sensitive elsewhere, can be a critical vulnerability. AI SAST traces that chain from entry point to impact so you see what's dangerous, not just what scored highest.

Start your code review

THE ARCHITECTURE

Two engines, one codebase.

Finds patterns

LEGACY SAST

Standard ruleset, flags anything that matches.

Pattern matching

RULES

Fixed ruleset scan

Generic rule sets

RULES

Thousands of rules firing on every scan

Manual triage

MANUAL

You triage every finding and decide if it’s real

Imprecise patches

MANUAL

Fix suggestions that don’t work for your codebase

Filters the noise

AIKIDO SAST

Best-in-class rules,
AI where it needs to be.

Deterministic engine

RULES

Parses your code into a syntax tree

Curated Ruleset

RULES

High-signal rulesets created by Aikido

Cross Taint Analysis

RULES

Follows calls and data across files, tracing untrusted input to risky sinks

AI AutoTriage

De-noises by checking reachability, prioritizing by impact

AI AutoFix

Creates PR to patch

Reasons across your codebase

AIKIDO AI SAST

NEW

A new engine built on advanced reasoning models.

Reasoning Engine

Reads every file and how they connect

Vulnerability discovery

Follows logic across your whole stack

Multi-agent verification

Agents check each other, verify findings

Contextual traige

Ranks findings by real-world exploit impact

AI Autofix

Creates PR to patch

Every layer catches what the previous one missed.

SAST

Runs on every commit

Catches what rules can describe. Fast, automatic, no running application needed.

AI SAST

Goes deeper where rules fall short

Understands intent, not just syntax. Catches IDOR, privilege escalation, cross-service logic flaws.

AI PENTEST

Confirms what's real

Validates findings against your live application. Only confirmed exploits reach your team.

What will AI SAST find in your code?

Connect a repo and see what Aikido AI SAST finds in minutes.
Or run it alongside your current SAST and we'll show you what's missing.

Start a Code Review

In 5 min

Book a demo

Faq

Your AI SAST questions answered

Why can't I just use Claude Code or my AI coding assistant for this?

AI coding assistants help you write code faster. At codebase scale, a single agent has to stay shallow. Aikido AI SAST uses orchestrated agents to cover the codebase in depth, then correlates and challenges findings before they surface.

Does AI SAST replace my existing SAST tool?

No, and it's not designed to. Most vulnerabilities are well-understood patterns that fast, rule-based scanning catches reliably and cheaply. Replacing that with AI inference on every commit would be slower and more expensive for no gain. AI SAST is the layer you add for the cases rules can't handle: business logic flaws, broken access control across services, and complex auth gaps that only emerge when you reason about what the code is trying to do. Run both. Aikido SAST handles the floor; AI SAST raises the ceiling.

How is this different from Snyk or Semgrep adding AI features?

Adding AI to a pattern matcher changes how findings are presented, not what gets found. If the underlying engine is still matching code against a ruleset, it's still structurally blind to vulnerabilities that don't fit a known pattern. Aikido AI SAST doesn't use a ruleset. It uses reasoning models that read your code as an interconnected system and ask whether the logic is sound, the way a senior security engineer would. That's an architectural difference, not a feature difference.

What does AI SAST not catch?

Static analysis, however sophisticated, works on code as text. It can't observe how your application behaves at runtime, confirm that a finding is actually reachable under real conditions, or validate that an exploit works against your live infrastructure. For that you need dynamic testing against a running application. That's what Aikido Attack is for. AI SAST tells you where the reasoning breaks down in your code. Attack confirms whether it's exploitable in practice.

How does it handle large or complex codebases?

Agent orchestration handles scale. Rather than running a single analysis pass over the entire codebase, Aikido AI SAST uses multiple agents that map the codebase as a system and coordinate coverage across it. Monorepos, multi-service architectures, and large dependency graphs are supported. Analysis depth doesn't degrade as codebase size increases.

Is my source code sent to an AI model?

Yes, in the sense that reasoning models analyze it. No, in the sense that your code is never stored, used for training, or retained after analysis completes. Aikido scans code in ephemeral containers that are destroyed after each job.