When we launched Cisco AI Defense early last year, it marked a major milestone in our greater mission to enable secure AI adoption. It was the industry’s first comprehensive AI security solution, offering centralized visibility into AI assets, robust algorithmic red teaming for models, and runtime protections for AI applications.   More recently, the rapid proliferation of agents has sparked significant conversation around the numerous associated risks with their deployment. Last month, we announced updates to AI Defense to combat agentic risk with capabilities like MCP scanning, agentic red teaming, and purpose-built guardrails.

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Cisco has launched AI Defense: Explorer Edition, a free self-service tool that brings algorithmic red teaming capabilities to AI developers and builders. It evaluates models across 200+ risk subcategories in under 20 minutes, supports all major agentic frameworks and MCP-connected systems, and enables single and multi-turn adversarial testing of AI agents. Results are mapped to Cisco's Integrated AI Security and Safety Framework, making it easier to identify vulnerabilities and determine what guardrails are needed before deploying agentic AI applications.

Cisco AI Defense: Explorer Edition Brings Agentic AI Red Teaming to Builders

Simulate real-world interactions with your agents

Understand and personalize AI risk assessments

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