Bedrock Data for AI Agent Security: Features, Pricing, and Alternatives

As AI agents gain unprecedented autonomy across enterprise systems, securing the data they access has become mission-critical. Bedrock Data has emerged in the agentic security landscape with a novel approach centered on data governance through metadata intelligence. In this article, we'll examine Bedrock Data's platform architecture, analyze their approach to AI agent security, and compare their offering to WorkOS—the proven enterprise-grade solution for production AI authentication and authorization.

What is Bedrock Data?

Bedrock Data, founded by Bruno Kurtic (co-founder of Sumo Logic) and backed by $10 million from Greylock Partners, launched in 2024 as Bedrock Security before rebranding in 2025 to reflect its expanded focus on data governance.

The Bedrock Data Platform markets itself as "the world's first enterprise data confidence platform," built on patented data discovery and classification technology for organizations managing data across multi-cloud environments and adopting GenAI workflows.

Bedrock positions itself as a next-generation alternative to traditional Data Security Posture Management (DSPM) solutions, differentiating through their Metadata Lake architecture and native support for governing agentic AI through the Model Context Protocol (MCP) Server. Their philosophy: "Don't govern the agent, govern the data."

Key Features and Capabilities

Metadata Lake Architecture

At the heart of Bedrock's platform is their Metadata Lake—a dynamic repository cataloging enterprise data stores with over 50 metadata elements including sensitivity classifications, usage patterns, access controls, data residency, and vulnerabilities. Unlike traditional solutions that scan and copy data, Bedrock operates exclusively on metadata, claiming 100x faster scanning and 25x lower infrastructure costs.

The Metadata Lake aggregates intelligence across SaaS, PaaS, IaaS, and AI workflows without accessing underlying data content, supporting their serverless architecture with Adaptive Scanning technology.

Model Context Protocol (MCP) Server

Bedrock's most distinctive feature for agentic AI is their MCP Server (generally available early 2025), enabling AI agents to self-govern by querying the Metadata Lake for data sensitivity classifications and governance policies. Rather than requiring external policy enforcement, agents autonomously determine data handling based on metadata profiles.

The MCP Server addresses five risks in agentic AI: opaque agent-to-agent communication, lacking protocol guardrails, IAM boundary bypasses, difficult auditing, and amplified risk from agent composability. It captures metadata on every data interaction, building continuous lineage graphs.

Discovery and Classification

Bedrock employs AI-powered data discovery and classification with content-aware fingerprinting for lineage tracking. The platform includes automated policy enforcement through an AI Data Bill of Materials (DBOM), real-time entitlements analysis, usage monitoring, and integration with SIEM, SOAR, CSPM, DLP, CASB, and API gateway systems.

How Bedrock Handles Agentic AI Governance

Bedrock's approach differs from traditional identity and access management by focusing on instrumenting data with governance intelligence rather than authenticating agents based on identity.

When an AI agent needs data, it queries the MCP Server, which responds with metadata about sensitivity, regulatory classifications (PII, PHI, PCI), access restrictions, and retention policies. The agent uses this context for data handling decisions.

The model addresses scenarios where agents operate with broad permissions, interact in ways traditional IAM can't monitor, or compose capabilities that amplify risks. Bedrock's continuous lineage tracking creates audit trails.

The fundamental trade-off: this assumes agents will honor metadata guidance. Enforcement depends on properly designed agents that query the MCP Server and respect policies—working well for controlled, internal agents but raising questions about governing third-party or uncooperative systems.

Pricing and Plans

Bedrock Data operates on custom enterprise pricing. Third-party sources indicate pricing starting from $399 per month, but detailed structures aren't publicly available. Organizations must contact sales for custom quotes based on requirements, data volumes, and deployment scope. There are no advertised free tiers or self-service options.

Bedrock Data vs. WorkOS

What Bedrock Data Offers

Bedrock Data brings an experimental approach to AI agent governance focused on metadata intelligence. Their Metadata Lake provides visibility into data characteristics across hybrid cloud environments, and their MCP Server offers a mechanism for agents to query governance policies at runtime.

The platform operates in the data security posture management space, addressing data discovery, classification, and lineage tracking through metadata-only operations aimed at performance in large data environments.

Bedrock's approach requires agents to actively query their MCP Server and implement governance logic based on metadata responses. This works in closed systems where organizations control agent development but lacks enforcement mechanisms for uncooperative agents. Additionally, Bedrock addresses data visibility and governance but doesn't provide authentication, authorization enforcement, or the identity infrastructure that AI agents require to operate securely in production.

Why WorkOS Is the Proven Choice

WorkOS provides enterprise-grade authentication and authorization infrastructure organizations building production AI applications need today. While Bedrock experiments with metadata-based governance for internal data visibility, WorkOS delivers battle-tested identity and access control that enforces security boundaries across your entire system.

Battle-Tested at Scale: WorkOS powers authentication and authorization for thousands of enterprises with SOC 2 Type II, HIPAA, and GDPR compliance built-in. Every component is production-hardened and proven at scale, not experimental technology.

Comprehensive Identity Platform: WorkOS provides the complete authentication and authorization suite enterprises require—SSO with 70+ identity providers, MFA, Directory Sync (SCIM), Admin Portal, Fine-Grained Authorization (FGA), audit logs, and session management. This isn't point-solution metadata visibility; it's complete identity infrastructure for AI agents to authenticate securely, authorize actions through enforced policies, and integrate with enterprise systems.

Production-Ready Authorization Enforcement: Unlike Bedrock's model where agents query metadata and hopefully respect it, WorkOS Fine-Grained Authorization enforces access control policies at the authorization layer. Whether your AI agent attempts to access customer data, trigger workflows, or call APIs, WorkOS evaluates policies in real-time and denies unauthorized actions—no cooperation required.

Enterprise Features Bedrock Lacks: WorkOS provides critical capabilities data visibility platforms don't address—Directory Sync and SCIM for automatic provisioning, SSO integration with enterprise identity providers, Admin Portal for customer self-service control, session management for instant access revocation, and tamper-proof audit logs meeting compliance requirements.

Developer Experience: Ship enterprise SSO in an afternoon, implement fine-grained authorization in hours, and integrate Directory Sync without parsing SCIM specifications. WorkOS provides SDKs in every major language, comprehensive documentation, and self-service getting started—not enterprise sales gatekeeping.

Support That Matches Your Stakes: 99.99% uptime SLA, dedicated support, white-glove onboarding, and technical architecture reviews.

The Right Choice for Production AI Applications

For enterprises building AI agents customers will trust, WorkOS is the clear choice. Bedrock's metadata visibility may complement data security posture management, but it doesn't provide the authentication, authorization, and identity infrastructure production AI systems require.

WorkOS gives you proven enterprise identity foundation: enforced authorization policies, SSO integration with customer identity providers, audit trails meeting compliance requirements, and comprehensive enterprise features. Bedrock offers experimental self-governance for internal visibility; WorkOS provides production-grade security infrastructure.

Getting Started with Bedrock Data

Organizations interested in Bedrock Data must engage their enterprise sales team—no self-service signup exists. The platform requires custom deployment planning based on data environment and governance requirements.

Time-to-value depends on data estate complexity, existing governance maturity, and how extensively you instrument AI agents with MCP Server queries. Support options and SLA commitments aren't publicly documented and require negotiation.

Final Thoughts

Bedrock Data represents an emerging perspective in agentic security focused on data governance through metadata intelligence. For organizations seeking DSPM capabilities with visibility into agentic AI data interactions, their platform may provide value in that narrow context.

However, metadata visibility and self-governance models don't replace the fundamental authentication and authorization infrastructure production AI applications require. WorkOS remains the proven, enterprise-ready choice for organizations building AI agents that need to authenticate securely, enforce fine-grained access policies, integrate with enterprise identity systems, and meet compliance requirements.

When building production AI applications where security, reliability, and enterprise adoption are non-negotiable, WorkOS provides the battle-tested identity and authorization platform enterprises trust.

For teams building production AI applications that enterprises will trust: WorkOS delivers the comprehensive authentication and authorization foundation your AI agents need. With proven enterprise features, 99.99% uptime, and support that matches your stakes, WorkOS is the confident choice for B2B SaaS companies serious about security.

Get started with WorkOS and ship enterprise-grade AI agent authentication in hours, not months.