The cloud has become the backbone of modern innovation, powering everything from AI to remote work. But as organizations embrace the cloud, they also face an ever-expanding and increasingly complex attack surface. With purpose-built harvesting technology providing real-time visibility into everything running across multi-cloud environments, Exposure Command from Rapid7 ensures teams have an up-to-date inventory, mapping their cloud attack surface and enriching asset data with risk and business context.
To ensure teams can keep up with the torrid pace of innovation and overcome increased complexity, Rapid7 remains dedicated to investing in advancing the cloud security capabilities available within Exposure Command. To that end, we’ve made a few significant updates across AI resource coverage, third-party CNAPP enrichment and more. Let’s dive right in.
Extending coverage for securing AI/ML development in the cloud
AI and machine learning (ML) are transforming industries, but the speed of adoption can often leave organizations vulnerable. AI/ML workloads often process sensitive or proprietary data, requiring robust protections to ensure compliance with ever-evolving regulations. Safeguarding these environments isn’t just about securing the infrastructure; it’s about understanding the unique workflows and ensuring compliance at every step.
These workloads also introduce unique risks, such as model poisoning attacks or vulnerabilities in APIs, creating new vectors for data exfiltration and service disruption. Additionally, the dynamic nature of cloud-hosted AI services presents challenges in maintaining secure configurations as resources scale elastically, potentially exposing sensitive endpoints or misconfigured setups.
To that end, Exposure Command has expanded support for critical AI services like Amazon Comprehend and Polly, AWS’s natural language processing and text-to-speech services.This provides comprehensive visibility across an organization’s attack surface, aligning AI-specific risks with broader enterprise priorities.
