The AI Penetration Tester

AI agents that assess your app with hacker expertise at machine speed. SOC2/ISO27001 audit-ready reports in hours.

Found and reported
vulnerabilities to:

Next.jsCloudflareAstroReact RouterBudibaseWarpLangfuseFlowiseDuckDuckGoAnthropicAdobeNext.jsCloudflareAstroReact RouterBudibaseWarpLangfuseFlowiseDuckDuckGoAnthropicAdobeNext.jsCloudflareAstroReact RouterBudibaseWarpLangfuseFlowiseDuckDuckGoAnthropicAdobe

Services

Comprehensive security for every environment

Choose the assessment that fits your environment without compromising the results.

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Source Code Audit

Identify all the vulnerabilities throughout your application, including business logic flaws, authorization weaknesses, architectural issues, insecure data flows, and implementation errors directly from the source code.

Start an Audit
http://target-website.io
src
components
Auth.tsx
Header.tsx
App.tsx

White-Box Pentest

Combine source code analysis with testing against a live environment to uncover vulnerabilities, execute real exploits, validate impact, and identify attack paths that only emerge in running systems.

Start a Pentest
IN PROGRESS3+
AGENT-01
Critical
AGENT-02
High
AGENT-03
Medium
TODO2

Black-Box Pentest

Assess your application from an attacker's perspective by discovering, and chaining vulnerabilities in a live environment, including permission bypasses, authentication flaws, and privilege escalation paths.

Start a Pentest

Input

Some teams prefer to keep their source code private while others prefer not to subject their application to live attacks. That's why we offer both white and black box testing. We achieve great results regardless of the input method by applying techniques tailored to each application's specific needs.

01
Define scope and start
02
Explore and create threat model
Autonomous agents map endpoints, roles, and data flows, building a complete picture of what can be attacked.
03
Attacks run by parallel agents
Hundreds of agents focus on specific vectors, probing for real vulnerabilities and exploiting them like a red team, not a checklist.
04
Report only valid findings
Only verified findings ship. Get impact analysis, reproduction steps, and remediation guidance in an audit-ready report.

Results

Proven Against your favourite platforms

CVEs discovered150+
cost-efficiency vs Mythosx100
Clients Secured60+
LiteLLM
47.2k
8.1k
Unauthenticated RCE via YAML deserialization and auth bypass
1config = yaml.load(request.body)
2# Loader=yaml.Loader — unsafe
3eval(config.get('callback'))
Langfuse
27.3k
2.8k
Authenticated RCE via prototype pollution in OTel parsing
1const result = {}
2result[pathParts[0]][pathParts[1]] = value
3// __proto__.x → prototype pollution
Clerk
1.7k
452
Authorization bypass in combined-condition has() checks
1const url = req.query.redirect
2res.cookie('__session', token)
3return res.redirect(url)

Monitoring

Continuous Security

Unbroken invariants

Ensure that all critical security assumptions remain intact as the codebase evolves over time.

Confidential secrets

Ensure credentials, API keys, and tokens are not accidentally exposed through deployments.

Trusted Boundaries

Ensure authorization rules, permissions, and isolation boundaries remain intact as features evolve.

Pull Request Review

New code is evaluated against the threat model established during the assessment, preventing changes that weaken permissions, break trust boundaries, or violate critical security invariants.

Pull Request
Secure
#1192
Pull Request
Insecure
#1201
Pull Request
Insecure
#1214
Pull Request
Secure
#1226
Pull Request
Secure
#1233
Pull Request
Insecure
#1241
Pull Request
Secure
#1248
Pull Request
Secure
#1255
Pull Request
Insecure
#1261
Pull Request
Insecure
#1269

Endpoint Monitoring

Endpoints, permissions, and trust boundaries discovered during the assessment are continuously validated, ensuring security controls remain enforced as applications evolve over time.

Knowledge base
wrecktheline.com

Testimonials

Why teams prefer AISafe Labs

1/3

Support

Frequently Asked Questions

Traditional pentests usually require scheduling, manual coordination, and long turnaround times. AISafe Labs avoids all of that. You define the scope and parameters of the assessment, and it starts immediately, scaling across your environment to produce reproducible, validated findings in hours instead of weeks.

AISafe Labs is designed to find the issues teams expect from a serious pentest. It covers all standard vulnerability classes including injection flaws, authentication weaknesses, access control failures, and data exposure. Beyond that, AISafe Labs is capable of identifying business logic vulnerabilities, permission bypasses, cross-tenant exposures, and many other issues that require understanding how the application is supposed to behave.

AISafe Labs reports findings only after they are validated. If an issue cannot be reproduced or exploited, it goes through a custom consensus mechanism. If it does not pass, it is not surfaced as a result.

You define what is in scope, what can be tested, and which targets should remain off-limits. AISafe Labs enforces those boundaries through execution guardrails so assessments stay aligned with the environment you approved.

Yes. AISafe Labs produces structured reports that are suitable for stakeholder communication and audit preparation, including evidence that can support SOC 2, ISO 27001, and NIS2 review processes.

All data, including source code, findings, and secrets, is stored encrypted. Users have full control and can permanently remove any data from the platform at any time.

Yes. We offer a free plan that lets you explore the AISafe Labs platform and run limited assessments without committing to a paid engagement upfront.

Can't find your answer here? Get in touch

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