Prowler Data Security: DSPM for the agentic era

Prowler Data Security is presented as a cloud-based Data Security Posture Management platform designed to trace sensitive data across application code, cloud infrastructure, identities, AI agents, Amazon Bedrock roles, and Model Context Protocol tools. It combines deterministic code analysis, cloud data discovery and classification, IAM and attack-path analysis, and bounded AI-assisted reasoning to identify how PII, credentials, health data, payment data, and custom sensitive fields can reach logs, storage, prompts, vector stores, APIs, and agent-accessible tools. The platform emphasizes correlating isolated findings into complete exposure paths, such as customer data logged to an S3 bucket that can be accessed by an AI agent or MCP tool, then recommending remediation in code, IAM policies, cloud configurations, or tool scopes. Its Lighthouse AI feature uses redacted metadata and security evidence to investigate risks conversationally while avoiding storage or disclosure of raw sensitive values. Built on open-source components including Microsoft Presidio and Kingfisher, Prowler Cloud aims to help organizations prioritize and fix the underlying causes of sensitive-data exposure as AI systems increasingly expand access to cloud resources.

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