Securiti Signs Strategic Collaboration Agreement with AWS to Enable DSPM and Safe use of Data with Bedrock

SAN JOSE, Calif., April 1, 2025 - Securiti, the pioneer of DataAI Command Platform, announced today that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS). In addition, Gencore AI's integration with Amazon Bedrock enables enterprises to safely use unstructured and structured data from hundreds of systems through Amazon Bedrock's rich library of AI models, to securely build enterprise AI tools such as knowledge agents, AI systems, and business process automations.

With the ever growing volume of data and increasing complexity of privacy and security regulations, organizations are challenged to properly safeguard personal and sensitive information. The rapid rise of GenAI has exacerbated this challenge. While organizations are eager to harness the power of their data with AI, they struggle to build scalable, enterprise-grade AI pipelines. In fact, more than half of organizations are avoiding some generative AI use cases due to data security-related issues.

This collaboration with AWS allows enterprises to leverage proprietary data with AI models in Amazon Bedrock, while maintaining comprehensive security, governance, and compliance. Key benefits include:

• Comprehensive DSPM Capabilities: As the market leader in DSPM, Securiti offers extensive capabilities to identify, monitor and manage sensitive data risk throughout AWS and non-AWS environments. Securiti's DataAI Command Graph provides contextual data intelligence and identification of toxic combinations of risk, including the ability to correlate fragmented insights across hundreds of metadata attributes such as data sensitivity, access entitlements, regulatory requirements, and business processes. Advanced automation streamlines remediation of data risks and compliance with data regulations.

• Safe Data Sync: When building AI systems, Gencore AI ensures secure ingestion of both unstructured and structured data from various environments, including SaaS platforms, IaaS, and on-premise systems, directly into AWS. The solution methodically classifies and redacts sensitive content, and curates data before ingestion - enabling high-scale, high-quality AI systems. This ensures compliance, while maximizing data utilization for AI applications. Full provenance, real time security controls and access entitlement enforcement provide additional protection for AI systems.