Cybersecurity Solutions for AI

LLM applications, AI agents, and generative AI products face an attack surface that traditional security testing wasn't built for—prompt injection, jailbreaks, and insecure agent tool use, alongside standard web and API vulnerabilities. Secure your AI product with HackenProof's bug bounty, penetration testing (of your AI, not an AI-powered tool), and vulnerability disclosure programs.

AI Systems Fail In Ways Traditional Security Testing Doesn't Catch

AI and LLM applications introduce failure modes that don't exist in traditional software: prompt injection that hijacks model behavior, jailbreaks that bypass safety guardrails, training data poisoning, model extraction, and agentic systems that take real-world actions based on untrusted input. A pentest built for a conventional web app will miss most of this—the vulnerabilities live in the model's behavior and the surrounding pipeline, not just the code.

01
A genuinely new attack surface
The OWASP Top 10 for LLM Applications (prompt injection, insecure output handling, data poisoning, model theft) doesn't map onto traditional categories
02
No established playbook yet
Most security teams and pentest vendors lack deep experience testing LLM-specific and agentic AI vulnerabilities—expertise is genuinely scarce
03
Regulation is arriving fast
The EU AI Act's obligations for high-risk AI systems and NIST's AI Risk Management Framework are setting expectations for AI security testing well before most companies are prepared for them

Why AI Companies Choose HackenProof?

Researchers who understand AI and LLM systems

Our community includes researchers in prompt injection, jailbreak techniques, and agentic AI/tool-use exploits—not just generic web testing. They know where model behavior breaks, not just where forms are unvalidated, and use AI to map vulnerability vectors.

A "reputational and safety-critical" mindset

A jailbroken model or successful prompt injection isn't just a bug—it's often a public, screenshot-able failure that defines a product's perception. HackenProof's rigor is built for systems where one missed vulnerability carries real reputational stakes.

Compliance-ready reporting

Every engagement produces documentation mapped to what your team, investors, and (increasingly) regulators expect—clear severity ratings, retest confirmation, and reports formatted against the OWASP LLM Top 10 and NIST AI RMF.

AI Security Testing Services

Bug Bounty for AI Systems

Continuous testing that scales with your attack surfaceLaunch a public or private bug bounty program for year-round coverage from security researchers finding the vulnerabilities that matter in AI products—prompt injection, jailbreaks, data leakage, and standard flaws alike. Pay only for valid findings.

Best for: AI companies shipping frequent model or product updates that need continuous, not one-time, coverage.

Continuous year-round coverageGlobal researcher communityPay only for valid findingsFocus on real-world vulnerabilities

Penetration Testing for AI Systems

Point-in-time testing of your AI, not an AI-powered toolStructured, scoped penetration tests covering your LLM applications, AI agents, and infrastructure—mapped against the OWASP LLM Top 10. This is researchers testing your AI system for exploitable vulnerabilities, not an automated tool running AI attacks. Get a clear, actionable report.

Best for: AI companies that need a defined engagement ahead of a launch or compliance requirement.

Penetration testing for AI systems illustration

Scoped security assessmentCoverage across critical systemsClear severity-based reportingActionable remediation guidance

Vulnerability Disclosure Program (VDP) for AI Systems

A safe, structured channel for external researchers to report issuesGive ethical hackers and the AI security community a clear, legally safe way to report vulnerabilities—before they end up on social media or in the wrong hands. A public VDP signals security maturity to users and investors and is often a lower-cost first step before a full bug bounty program.

Best for: AI companies that need a public-facing disclosure channel for community trust or enterprise due diligence.

Vulnerability disclosure program illustration

Safe vulnerability reportingStructured researcher communicationCentralized disclosure managementSupport responsible disclosure

AI-Powered Vulnerability Validation for AI Companies

Faster, more accurate triage—without losing human reviewHackenProof uses AI to speed up vulnerability validation, filtering out duplicate and low-signal reports so your team sees high-impact findings sooner. For fast-moving AI products where vulnerability classes emerge constantly, faster validation means faster remediation, without sacrificing human review.

Best for: AI security teams that need to cut noise and speed up time-to-fix across a high volume of reports.

AI-powered vulnerability validation illustration

Faster vulnerability triageReduce duplicates and noiseHuman-reviewed validationFaster time to remediation

Whitelabel Vulnerability Coordination Platform for AI Companies

Standalone solution branded specifically for your businessA fully whitelabeled vulnerability coordination platform, built with all the core features your AI company needs to manage disclosure and remediation under your own brand — giving you the infrastructure of a mature security program without building it in-house.

Best for: AI companies that want their own branded coordination program, not HackenProof-branded.

Whitelabel vulnerability coordination platform illustration

Fully branded experienceCentralized vulnerability workflowStreamlined program managementScale without building in-house

How We Care About Your Data

Your vulnerability reports are among the most sensitive data you handle. We treat them that way—protected in transit and at rest, and managed under internationally certified security processes.

We protect data in transit and at rest
End-to-end encryption of reports
We’re certified and follow recognized security frameworks

Which Compliance Frameworks Does Our Reporting Support?

OWASP Top 10 for LLM Applications

Test against the industry's de facto standard vulnerability classes for LLM applications, including prompt injection, insecure output handling, and training data poisoning

AI RMF

Align testing and reporting with NIST's framework for identifying and managing AI-specific risk

ISO/IEC 42001

Support organizations building toward the international standard for AI management systems

EU AI Act

Support high-risk AI system providers preparing for EU AI Act security and risk-assessment obligations

SOC 2

Validate security controls and identify vulnerabilities that may impact trust and data protection requirements

ISO/IEC 27001

Support information security management requirements with structured penetration testing and remediation guidance

Recognized by Industry Regulators & Organizations

Whether you're benchmarking against the OWASP Top 10 for LLM Applications, preparing for NIST AI RMF alignment, or getting ahead of EU AI Act obligations, HackenProof engagements are documented to slot directly into your compliance and risk workflow—not create extra work translating findings into audit language.

Europe