Red Teaming: A Proactive Approach to AI Security

As artificial intelligence systems become central to critical operations across industries, the security of AI systems becomes a top priority. Red teaming, which involves simulating attacks to identify vulnerabilities, is emerging as an essential practice for safeguarding AI, especially with the advent of agentic AI.

The Age of Agentic AI and New Challenges

Agentic AI, characterized by multi-LLM systems capable of making autonomous decisions and executing tasks without human intervention, introduces new complexities and vulnerabilities. In this scenario, red teaming becomes fundamental to ensuring transparency in AI development and deployment, ensuring that systems are robust and compliant with regulations.

For those evaluating on-premise deployments, there are trade-offs to consider carefully. AI-RADAR offers analytical frameworks on /llm-onpremise to support these evaluations.