Protect AI Announces Integration with Amazon Bedrock

New integration of Protect AI’s Guardian and Recon security tools empowers enterprises to securely deploy generative AI at scale

Protect AI, a leading provider of enterprise AI security solutions, today announced an integration between its Guardian and Recon products and Amazon Bedrock, a fully managed service for building and scaling generative artificial intelligence (AI) applications.

Protect AI’s platform helps organizations secure every stage of the AI and machine learning (ML) lifecycle by providing visibility, auditing, and security policy enforcement across AI models, data, and infrastructure. With this integration, Protect AI’s Guardian and Recon seamlessly connect with Amazon Bedrock, enabling customers to enhance the security of their generative AI applications with layered defenses and actionable insights, all within their existing AWS environments.

This integration combines the vast model selection and enterprise-grade security tools from Amazon Bedrock with enhanced security monitoring and audit capabilities from Protect AI. Together, Protect AI and Amazon Bedrock help customers confidently deploy and scale their AI applications while maintaining robust security controls.

“Enterprises deploying generative AI solutions need to rapidly innovate without compromising security and compliance,” said Ian Swanson, CEO of Protect AI. “Our integration with Amazon Bedrock delivers a streamlined, end-to-end approach to securing generative AI models, empowering AWS customers to implement rigorous, proactive security measures without slowing down their AI initiatives.”

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Full Lifecycle Protection for AI Models

The Protect AI integration with Amazon Bedrock provides enterprises with direct, API-driven access to two advanced AI security solutions:

• Guardian: A zero-trust security scanner for AI and ML models that quickly identifies threats, including backdoor vulnerabilities, runtime threats, and deserialization issues. Guardian scans models rapidly—open-source models in less than one second and proprietary models within a minute—enabling AWS customers to confirm model integrity before deployment.
• Recon: An automated red-teaming solution that continuously stress-tests generative AI models, simulating real-world adversarial scenarios. Recon identifies runtime vulnerabilities, recommends precise Amazon Bedrock Guardrails to implement, and provides ongoing validation of security effectiveness. Recon leverages an extensive attack library maintained by Protect AI’s threat research team, updated weekly with the latest threats.

Enterprise AI Security at Scale

This integration aligns Protect AI’s deep security expertise with AWS’s advanced generative AI services and secure and resilient global infrastructure. This helps customers create and manage secure, reliable, scalable, and compliant AI environments across sensitive sectors such as financial services, healthcare, life sciences, energy, e-commerce, and government agencies.

Key Benefits of the Integration include:

• Streamlined AI Security Workflows: Enterprises can seamlessly integrate Guardian and Recon within their existing AWS environments without additional development effort.
• Rapid Time-to-Production: Guardian and Recon’s high-speed scanning and automated red teaming enable secure AI deployments without compromising velocity or innovation.
• Proactive Risk Mitigation: Enterprises can identify and remediate vulnerabilities early, significantly reducing potential compliance and reputational risks.
• Continuous AI Governance: Protect AI’s solutions align with industry standards, including OWASP, MITRE, NIST, and DASF, ensuring continuous compliance and robust security posture.