Securing Your AI Infrastructure and Utilization
Advanced Security Testing for AI
Protect your Artificial Intelligence systems & Large Language Models from emerging threats with comprehensive security testing, AI social engineering, and modern threat emulations.
AI Security Testing
Comprehensive Penetration Testing For AI Systems, MCP, RAG, & LLMs
Understand Vulnerabilities and Threats within your AI Infrastructure
OWASP-Aligned Testing Standards
Our methodology follows OWASP's LLM Security Verification Standard & Top 10 guidelines.
Comprehensive Vulnerability Assessment
Manual and automated testing to identify weaknesses in model behavior and system integrations.
Actionable Security Insights
Detailed reports provide clear remediation roadmaps prioritized by impact and risk.
Adversarial Penetration Testing for AI
Specialized penetration testing for...
Large Language Models
Security testing for large language models to identify prompt injection, unsafe outputs, data exposure, & model misuse.
Chatbots
Assessment of AI chatbot behavior, user input handling, access controls, and unintended disclosure risks.
AI Agents
Testing of autonomous agents, tool usage, task execution, and decision paths to uncover security gaps.
MCP Ecosystem
Testing of MCP servers, connected tools, permissions, and integrations that may introduce new attack paths.
Enterprise AI Workflows
Test business-critical AI workflows across users, systems, data sources, and automated processes.
RAG Attacks
RAG attacking (or poisoning) is where malicious content is inserted into a knowledge base to manipulate AI outputs.
Secure Your AI Infrastructure Now
Secure your AI systems
Before Vulnerabilities Become Breaches