Platform
Explore Inspectiv’s AI-enabled platform that integrates Bug Bounty, Pentesting, Feature Testing, and VDP, designed to cut through noise and deliver signal-driven results.
AI and LLM Security Testing
Secure Your AI Systems Against Real-World Attacks
Test how your AI actually behaves in production across prompts, APIs, memory, vector databases, agents, and MLOps pipelines.
What AI and LLM
Testing Secures
Inspectiv's comprehensive AI and LLM security testing is human-led and utilizes an adversarial model, designed to secure systems against real-world attacks across the entire production (or staging/dev) environment. The testing covers a wide range of highly impactful vulnerabilities, including prompt injection and jailbreaks, authorization controls, data leakage, and input/output manipulation. Furthermore, it addresses specialized risks within the AI stack, such as Vector Databases (RAG), API and orchestrator communication, multi-agent systems, code execution environments, and the Machine Learning Operations (MLOps) supply chain.
How Inspectiv Tests and Secures
AIs and LLMs
The testing typically covers a wide range of methods, with our researchers utilizing the OWASP Machine Learning Top 10 comprehensively. We test for custom prompt injection and jailbreak attacks, authorization & access controls, data leakage, and input/output manipulation. Furthermore, our testing addresses specialized risks within the AI stack, such as Vector Databases (RAG), API and orchestrator communication, multi-agent systems, code execution environments, and the Machine Learning Operations (MLOps) supply chain. Our AI and LLM testing aims to uncover vulnerabilities that are hidden within built-in functionality or into the architecture itself.
