AI Security - OWASP AI Top 10 Coverage

AI Security Audit

Your AI systems are attack surfaces. We find the vulnerabilities before attackers do.

Trusted by FinTech, HealthTech, and Enterprise teams across the EU

5 Attack Vectors Targeting Your AI

  • Prompt injection - attackers hijack your LLM to execute unintended actions
  • Data poisoning - corrupted training data leads to compromised model outputs
  • Model theft - proprietary models extracted through API abuse or side-channel attacks
  • Training data extraction - sensitive data leaked through careful model querying
  • Adversarial inputs - crafted inputs that cause misclassification or bypass safety filters

LLM Security Testing

Prompt Injection & Output Safety

We systematically test your LLM applications for prompt injection, jailbreaks, and output manipulation. You get proof-of-concept exploits with severity ratings.

  • Direct and indirect prompt injection testing
  • Jailbreak resistance evaluation
  • Output manipulation and data exfiltration tests
  • System prompt extraction attempts
  • Token smuggling and encoding bypass checks

AI Red Teaming

Adversarial ML & Supply Chain

We simulate real-world attackers targeting your AI systems. From adversarial ML attacks to model supply chain compromise, we test what matters.

  • Adversarial ML attack simulation
  • Model robustness testing under edge cases
  • AI supply chain security review
  • Model API abuse and rate limit bypass
  • Membership inference and model inversion attacks
  • Shadow AI detection in your organization

OWASP AI Top 10 Assessment

Systematic Risk Coverage

We assess your AI systems against all 10 OWASP AI risks. You get a gap analysis with prioritized remediation steps for each vulnerability class.

  • LLM01: Prompt Injection assessment
  • LLM02: Insecure Output Handling review
  • LLM03: Training Data Poisoning analysis
  • LLM06: Sensitive Information Disclosure testing
  • LLM08: Excessive Agency evaluation
  • Full coverage of all 10 risk categories

How We Work

Typical timeline: 2-4 weeks

1

Scope

AI system inventory, threat modeling, attack surface mapping

2

Test

Automated + manual security testing, red team exercises

3

Report

Detailed findings with PoC exploits and risk scores

4

Remediate

Remediation roadmap, fix validation, retest

What You Get

A complete picture of your AI security posture.

Detailed Security Report

Every vulnerability documented with proof-of-concept, severity rating (CVSS), and reproduction steps.

Risk Scores per System

Each AI system rated by attack surface exposure, data sensitivity, and exploit difficulty.

Remediation Roadmap

Prioritized fixes with effort estimates. Critical vulnerabilities first, then systematic hardening.

Retest Included

After you apply fixes, we retest to confirm vulnerabilities are resolved. No extra charge.

Frequently Asked Questions

Secure Your AI Before Attackers Find the Gaps

Book a free 30-minute consultation. We review your AI systems, identify the highest-risk attack vectors, and outline a testing plan.

This page describes AI security assessment services. Results depend on system complexity, access level, and engagement scope. Past findings are not guarantees of future vulnerability discovery.