Operant AI, provider of the Runtime AI Defense Platform, is introducing Woodpecker, an open-source, automated red teaming engine, that will make advanced security testing accessible to organizations.
According to the company, Woodpecker is designed to help organizations proactively detect and address security vulnerabilities across AI systems, Kubernetes environments, and APIs.
Woodpecker already simulates more than 50% of OWASP top 10 threats across APIs, Kubernetes, and LLMs, exceeding the threat simulation scope of leading commercial red teaming products.
Woodpecker enables security teams, developers, and DevOps professionals to proactively identify vulnerabilities and build more resilient applications, without the cost and complexity of traditional solutions.
“Security vulnerabilities don't discriminate based on an organization's size or resources, we believe red teaming should not be a privilege for a few, it should be a foundational practice for all,” said Vrajesh Bhavsar, CEO and co-founder of Operant AI. "With Woodpecker, we're leveling the playing field by providing enterprise-grade red teaming capabilities in an open-source solution that any organization can deploy. Security testing at this depth should be a universal right, not a privilege reserved for those with the largest security budgets."
Threats such as prompt injection, data poisoning, and model leakage continue to rise, yet only 24% of generative AI projects are currently secured, according to the IBM report. Woodpecker is purpose-built to address these modern threats targeting AI applications, cloud APIs, and Kubernetes environments and is designed to mimic how real attackers operate across multiple layers of infrastructure.
Woodpecker provides automated red teaming capabilities across three critical domains:
- Kubernetes security: Identifies misconfigurations, privilege escalations, and vulnerable deployment patterns within container orchestration environments.
- API security: Simulate various attack scenarios to uncover vulnerabilities in API endpoints, authentication mechanisms, and data handling processes.
- AI security: Tests machine learning models and AI systems for prompt injection, data poisoning, and other emerging AI-specific attack vectors.
Operant's Woodpecker is now available as an open-source project on https://github.com/OperantAI/woodpecker.
As part of the launch, Operant will also host hackathons and developer engagement programs in the U.S. and India.
For more information about this news, visit www.operant.ai.