AI Security Audit

Secure Your AI Before Attackers Exploit It

Comprehensive security assessments for LLMs, machine learning systems, and AI-powered applications. Protect against prompt injection, data poisoning, and adversarial attacks.

50+
AI Audits
200+
Vulnerabilities Found
OWASP
LLM Top 10 Coverage
24/7
Support

Trusted by leading AI and Web3 companies

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Circle
Monad
Binance
Solana
Base
Circle
Monad
Binance
Solana
Comprehensive Coverage

Full-Spectrum AI Security Assessment

We examine every attack surface in your AI system, from prompt handling to data pipelines to model deployment.

Prompt Injection Testing

Systematic testing for direct and indirect prompt injection vulnerabilities that could compromise your LLM application.

Data Pipeline Security

Assessment of training data integrity, RAG implementations, and protection against data poisoning attacks.

Privacy & Data Leakage

Testing for unintended data exposure, PII leakage, and sensitive information disclosure through model outputs.

Model Access Controls

Review of authentication, authorization, rate limiting, and abuse prevention mechanisms.

Output Validation

Analysis of output filtering, content moderation, and protection against harmful or malicious responses.

Compliance Assessment

Evaluation against emerging AI regulations, OWASP LLM Top 10, and industry security frameworks.

Threat Landscape

AI-Specific Attack Vectors We Test

AI systems face unique security challenges. We systematically test for all known attack vectors.

Prompt Injection

Malicious inputs that hijack model behavior

Jailbreaking

Bypassing safety guardrails and content filters

Data Poisoning

Corrupting training data to influence outputs

Model Extraction

Stealing model weights or capabilities

Privacy Attacks

Extracting training data or user information

Supply Chain

Compromised models, libraries, or dependencies

FAQ

Frequently Asked Questions

It's a security assessment specifically for AI systems—LLMs, ML models, and AI-powered apps. We test for prompt injection, data poisoning, jailbreaks, privacy leaks, and other AI-specific vulnerabilities. Think of it as a pentest built for how AI actually breaks.

Usually 2-6 weeks. A simple chatbot review might take 2-3 weeks. Enterprise platforms with multiple models, RAG pipelines, and integrations typically need 4-6 weeks for thorough coverage.

We work primarily in staging environments and coordinate any production testing with your team. We're careful—no one wants an outage during a security assessment. For sensitive systems, we can do read-only assessments.

Yes. Every finding comes with detailed remediation guidance and code examples. Once you've addressed them, we verify the fixes for free and update the report.

We cover the OWASP LLM Top 10, NIST AI RMF, and emerging regulations like the EU AI Act. We also test for real-world attack patterns we've seen across our AI security engagements.