Bedrock Security
Advanced AI-driven security for cloud and AI environments.. [Contact for Pricing]
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What is Bedrock Security?
Bedrock is a data-centric security and governance platform designed to give enterprises continuous visibility, classification, and control over data wherever it lives. The platform automatically discovers and inventories structured, semi-structured, and unstructured data across cloud services, SaaS, data lakes, and analytics environments, building a centralized metadata repository so teams can understand location, sensitivity, lineage, and access. Bedrock layers contextual insights (ownership, entitlements, usage patterns) on top of discovery so security, data, and privacy teams can enforce least-privilege access, detect risky exposure, and accelerate incident investigations. The product is aimed at large and mid-market organizations with complex multi-cloud and SaaS footprints — especially regulated industries (financial services, healthcare, biotech) and teams preparing for AI/GenAI use-cases that require governed data.
Bedrock Security pricing
Pricing model: Freemium
The website positions Bedrock as an enterprise solution but does not publish granular public pricing; instead it emphasizes contacting sales for demo and pricing details. There is no clearly listed free tier on the site, and paid offerings are presented as customizable enterprise plans that include platform access, metadata lake capabilities, integrations, and AI/agent-focused features; customers are expected to engage Bedrock for tailored licensing and implementation scope.
Bedrock Security pros
- continuous, agentless metadata-driven discovery across SaaS, cloud, and data stores
- scales to multi-petabyte environments without persistent agents or containers
- automated classification and sensitive-data detection for structured and unstructured content
- central Metadata Lake that unifies location, lineage, entitlements, and usage
- real-time context on data access and usage to speed investigations
- policy enforcement support to implement least-privilege access controls
- integrations with SIEM, DLP, CNAPP and cloud platforms to enrich existing tooling
- AI-focused features (Copilot/MCP) that surface data risk for Generative AI workflows
- serverless architecture reduces infrastructure overhead and deployment complexity
- business taxonomy and ownership mapping to connect data to stakeholders
- automated risk scoring and prioritized remediation guidance
- supports governance needs for regulated industries and compliance use-cases
- API-first platform enabling custom integrations and automation
- enables data usage controls for AI training and RAG to enforce data policies
- fast on-boarding and continuous sync to keep metadata current
Bedrock Security cons
- primarily targeted at larger enterprises — may be heavyweight for small teams
- advanced feature set requires skilled data/security teams to operationalize
- pricing and plan details are not prominently published on the public site
- some connectors or deep integrations may require additional configuration
- depends on metadata access — limited telemetry if systems restrict metadata APIs
- on-premises legacy systems with limited API surface may be less visible
- organization-wide data remediation still requires cross-team coordination
- AI/agent infrastructure capabilities may demand governance maturity to adopt
Frequently asked questions about Bedrock Security
How does Bedrock discover my organization’s data?
Bedrock performs agentless discovery by connecting to cloud, SaaS, and data store APIs to collect metadata and inventory assets; it continuously syncs metadata into a centralized Metadata Lake that includes location, schema, lineage, entitlements, and usage so teams can see data without moving or exposing raw content.
What types of data can Bedrock classify and protect?
The platform supports structured, semi-structured, and unstructured data across databases, data lakes, analytics platforms, and SaaS applications; it applies automated classification and sensitive-data detection to identify PII, regulated data, and business-critical assets for governance and protection.
Does Bedrock require installing agents in my environment?
No — Bedrock emphasizes a serverless, agentless architecture that uses API integrations and metadata collection rather than deploying persistent agents or containers, reducing infrastructure footprint and simplifying deployment.
How does Bedrock help with least-privilege access?
By combining entitlement and access metadata with sensitivity and usage context, Bedrock surfaces excessive permissions and risky entitlements and provides prioritized recommendations so security and cloud teams can implement least-privilege policies and remediate over-privileged access.
Can Bedrock support AI/GenAI governance and safe model training?
Yes — Bedrock offers capabilities to label and enforce data usage controls for AI scenarios, including mechanisms to ensure data used for training or retrieval-augmented-generation meets corporate and regulatory policies, plus tools that provide runtime metadata context to agents and AI workflows.
Which existing security tools can Bedrock integrate with?
Bedrock is designed to enrich and integrate with SIEM, DLP, CNAPP, cloud platforms, and other security and observability tooling, enabling those systems to consume contextual metadata (lineage, entitlements, sensitivity, usage) to improve detection, response, and governance.
How does Bedrock handle data residency and compliance requirements?
The platform records location and sovereignty metadata and supports governance controls and policy enforcement aligned with regulatory needs; organizations use Bedrock’s visibility and classification to implement data residency controls, access controls, and audit workflows required for compliance.
What scale can Bedrock handle?
Bedrock is built to scale to multi-petabyte environments and large enterprise footprints, maintaining continuous metadata updates across vast numbers of assets without requiring heavy infrastructure on the customer side.
How quickly can teams start using Bedrock after signing up?
Onboarding timelines vary by environment complexity, but the platform’s API-first, agentless connectors are intended to accelerate initial discovery and produce usable metadata quickly; the site encourages requesting a demo or engaging sales to scope a rapid pilot.
What support and deployment services does Bedrock provide?
Bedrock offers enterprise support and professional services to help with integration, taxonomy mapping, policy configuration, and operationalization; customers typically work with Bedrock’s team to tailor deployment, tune classification, and integrate outputs into security workflows.