AI Penetration Testing
Every organization deploying AI is introducing a new class of vulnerabilities that traditional penetration testing was never designed to find. Prompt injection, jailbreaking, model theft, and AI agent escalation are now active threats. The SageFox finds them before attackers do.
What We Test
LLM and AI Applications
Prompt injection, jailbreaking, output manipulation, and model extraction across chatbots and AI-powered apps.
RAG Pipeline Security
Data poisoning, unauthorized document injection, and sensitive data leakage across your knowledge base.
AI API Security
Authentication bypass, insecure output handling, and injection flaws across REST, GraphQL, and WebSocket interfaces.
AI Agent Frameworks
Tool abuse, privilege escalation, and sandbox escape in autonomous AI agent architectures.
Jailbreaking and Model Security
Jailbreak attacks, training data leakage, and backdoor activation through trigger tokens.
AI-Augmented Red Teaming
AI-assisted offensive workflows that surface 30 to 40 percent more vulnerabilities per engagement.
Map your AI attack surface, model the most likely threats, actively exploit vulnerabilities in a controlled manner, then deliver a clear report with CVSS-scored findings and prioritized remediation guidance, with full support through fixes.
- LLM Testing
- Prompt Injection
- RAG Security
- AI API Testing
- Agent Testing
- Red Teaming
