DeepKeep Launches Vibe AI Red Teaming: A New Approach to AI Security

Securing highly autonomous AI systems is not simple. Traditional manual red teaming gives depth but is slow and hard to scale; fully automated testing is fast but follows predefined scripts and rarely adapts. Attackers do not follow scripts.

DeepKeep is introducing Vibe AI Red Teaming, a new approach that combines human expertise with AI-driven execution, designed for dynamic, human-steered testing across models, applications, and autonomous agents.

At the center of this process is Reddy, DeepKeep's AI red teaming agent. Reddy generates attack paths, plans next steps, and adapts in real time based on how the system responds. At key decision points, execution pauses so security teams can review findings, adjust direction, and push deeper into potential vulnerabilities.

DeepKeep still supports fully automated testing for routine checks and regression testing, while Vibe Red Teaming provides depth and adaptability for exploring business-impact vulnerabilities as they emerge.

Vibe AI Red Teaming is designed to meet OWASP's criteria for adversarial creativity and full workflow coverage, generating attack scenarios tailored to each environment rather than relying on static jailbreak lists, and evaluating entire agentic workflows including tool usage, data access patterns, and privilege boundaries.

With Reddy acting as a co-pilot and humans driving the strategy, DeepKeep gives organizations a practical way to test complex AI systems and keep control as they scale.