Key takeaways
- Varonis is retiring on-premises support by December 31, 2026, pushing its entire installed base onto a SaaS-only Data Security Platform.
- Shadow AI now adds $670,000 to the average breach cost, per IBM.
- Bedrock Data is an agentless platform that governs RAG pipelines and agentic AI through ArgusAI, and enforces inline on MCP tool calls at the AWS AgentCore Gateway.
- The right choice depends on architecture fit: legacy agent-based permissions depth versus modern, in-place, AI-native coverage.
Bedrock Data vs. Varonis is a comparison between two opposing data security architectures. Bedrock Data is an agentless DSPM platform built on a unified Metadata Lake; Varonis is an agent-based platform built for on-premises file systems and Active Directory, now retiring on-premises support by December 31, 2026. The decision comes down to deployment model, AI and agentic pipeline coverage through modules like ArgusAI, and how cost scales as data volume grows.
What is data security posture management (DSPM)?
DSPM is a category of security tooling that continuously discovers where sensitive data lives, classifies what it is, and assesses the risk of how it is accessed and moved. It answers a narrower question than a full data security platform: not "how do we control access," but "where is our exposure right now." Bedrock Data and Varonis both compete here, but they entered from different starting points: one cloud-native and agentless, one on-premises and agent-based.
- Discovery: Locating sensitive data across cloud storage, SaaS applications, databases, and increasingly AI infrastructure.
- Classification: Labeling data by sensitivity type (PII, PHI, IP, credentials) and business context.
- Risk scoring: Prioritizing exposure based on who and what can reach that data.
- Continuous monitoring: Tracking new exposure as data and access patterns change, not a one-time audit.