Rapid7, a leader in threat detection, has launched its AI-driven security tools InsightCloudSec and InsightAppSec in the new AI Agents and Tools section of AWS Marketplace. With this integration, AWS customers can now seamlessly discover, purchase, and deploy Rapid7’s advanced exposure management solutions to enhance the security of their AI agent workflows, directly through their existing AWS accounts.

As organizations increasingly adopt generative AI (GenAI) to drive innovation, the need for secure infrastructure becomes more urgent. Rapid7 addresses this demand by offering InsightCloudSec, which performs real-time assessments of cloud posture and risks. This ensures that the foundational cloud infrastructure powering AI/ML applications remains secure and compliant. At the same time, InsightAppSec delivers automated security testing and attack simulations specifically designed for large language models (LLMs) integrated into web applications. As a result, security teams can proactively identify, assess, and prioritize vulnerabilities in public-facing AI deployments.

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According to Craig Adams, Chief Product Officer at Rapid7, “As our customers rapidly adopt generative AI, they must also take responsibility for securing it. Through our partnership with AWS, we empower them to enforce policy, monitor access, and minimize risk from the earliest stages of AI development.”

Furthermore, these two offerings play a central role in Rapid7’s Exposure Command solution, enabling full-spectrum visibility from endpoint to cloud. Together, InsightCloudSec and InsightAppSec offer complete protection for AI-powered web apps and the infrastructure they run on. Both tools align with the OWASP Top 10, ensuring defense against today’s most prevalent attack vectors.

Beyond simple visibility, Rapid7’s tools also allow organizations to understand user-level access and apply least privilege access (LPA) controls. With AI/ML security best practices embedded into organizational policies, development teams can confidently build GenAI applications while maintaining full compliance.

By making these tools available through the AWS Marketplace, Rapid7 significantly simplifies the procurement process. Organizations benefit from streamlined purchasing, centralized licensing, and better visibility into billing and access management accelerating the path to secure AI innovation.

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FAQs

1. What is exposure management, and why is it critical for AI development?

Exposure management refers to the process of identifying, prioritizing, and reducing security vulnerabilities across systems. In the context of AI development, it is essential to ensure that both the applications (like LLMs) and the infrastructure (cloud services) are secure and compliant from the beginning of the development lifecycle.

2. How do AI agents benefit from Rapid7’s InsightCloudSec and InsightAppSec?

These tools provide automated risk assessments and security testing specifically tailored to AI workloads. They help protect AI agents from vulnerabilities and ensure that cloud resources and user permissions are securely managed enabling organizations to deploy AI solutions more confidently and at scale.

3. Can Rapid7’s solutions help organizations meet compliance requirements for GenAI applications?

Yes. With features like policy enforcement, least privilege access, and alignment with OWASP Top 10 security standards, InsightCloudSec and InsightAppSec support teams in meeting regulatory and internal compliance requirements when building and deploying generative AI applications.

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