As organizations increasingly deploy AI-driven systems and large language models (LLMs) across business functions, the attack surface evolves. Traditional security assessments are no longer enough. PivotSafe provides specialized penetration testing for LLMs and AI applications, helping you identify vulnerabilities unique to generative models, APIs, and AI-integrated platforms.
Our offensive security team combines deep knowledge of machine learning systems with battle-tested red teaming expertise—delivering realistic simulations of adversarial threats targeting your AI stack.
Prompt Injection & Jailbreak Attacks
Bypass guardrails, escape sandboxed instructions, or execute malicious prompts
Data Leakage & Training Data Exposure
Extract sensitive internal data memorized by the model.
Indirect Prompt Injection
Trigger model compromise via untrusted inputs (e.g., email, websites, logs).
Overreliance & Model Abuse
Exploit unsafe automation or over-trusted AI outputs.
Model-Driven Phishing or Social Engineering
Use LLMs to craft realistic, dynamic, and adaptive attack content.
Insecure API Implementations
Abuse rate limits, context windows, or insecure model chaining via endpoints.
PivotSafe brings together offensive security specialists, red teamers, and AI engineers to bridge the gap between ML and cyber. Our methodology combines:
We help you stay ahead of evolving AI threats while building confidence in your deployments.