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.
Trusted by leading AI and Web3 companies
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.
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
Frequently Asked Questions
What is an AI Security Audit?
An AI Security Audit is a comprehensive assessment of AI systems, including LLMs, machine learning models, and AI-powered applications. We evaluate prompt injection vulnerabilities, data pipeline security, model access controls, output validation, and compliance with emerging AI security frameworks.
How long does an AI Security Audit take?
Typical AI audits range from 2 to 6 weeks depending on system complexity. Simple chatbot assessments may take 2 to 3 weeks, while comprehensive enterprise AI platform audits with multiple models and integrations typically require 4 to 6 weeks.
Will testing disrupt production systems?
We design our testing methodology to minimize production impact. Most testing is conducted in staging environments, and any production testing is coordinated with your team to ensure service continuity. We can also perform read-only assessments for sensitive systems.
Do you help with remediation?
Yes, we provide detailed remediation guidance for every finding, including code examples and implementation recommendations. We also offer free remediation verification to confirm all issues have been properly addressed.
Ready to Ship Secure AI?
Your customers expect trustworthy, compliant intelligence. FailSafe makes sure you deliver it.