Bedrock Data vs Agentmetry
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Bedrock Data compared with Agentmetry
| Detail | 
Bedrock Data | 
Agentmetry |
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| What it does | AI and data security platform that unifies data, identity, and AI context to reveal real risk without moving data
| Open-source security for AI coding agents
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| Stage | Established
| Not given
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| Founded | 2020
| Not given
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| Based in | US
| GR
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Not given
| Open-source sensor is free. Enterprise pilot for up to 25 developer seats starts with a 90-day design-partner pilot, scoped with you.
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| Key features | - Data discovery across cloud, SaaS, and on-premises environments
- AI-driven classification by business context
- Metadata Lake for unified data and identity context at petabyte scale
- Entitlement analysis to uncover hidden access paths
- Real-time policy enforcement and drift detection
- Data lineage and flow tracing across systems
- Trust Boundaries for access control
- API-native integrations via GraphQL and MCP
- Support for AWS, Azure, Google Cloud, Snowflake, MongoDB, and Databricks
- Zero data access architecture preserving data residency
| - Records tool calls from Claude Code, Cursor, Codex, GitHub Copilot and other agents
- Detects risky sequences and agent behavior patterns
- Forwards to SIEM: Splunk, Elastic, Microsoft Sentinel, Google SecOps
- MCP server scanning to detect risky or malicious integrations
- Works on Windows, Linux and macOS without kernel driver
- DLP integration to prevent credential and sensitive data exfiltration
- 0 false positives across 57 test cases with MITRE ATT&CK coverage
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| What makes it different | - Serverless architecture scans multi-petabyte environments without cost tradeoffs of traditional DSPM
- Reduces false positives through precise classification combined with live identity and access context
- Data never leaves customer environment, maintaining strict compliance and regulatory adherence
- API-native integration-first design syncs ground truth across entire security ecosystem
| - Hash-chained records can be verified offline, catching any tampering or editing attempts
- Sees which AI agent ran the command and the session it belongs to, unlike EDR tools
- No account required, no telemetry sent until you configure a sink
- Single maintainer, self-funded, built in public with no hidden development
- All claims on the website verifiable by running commands on your own machine
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 45 ● no change since last check | 36 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 5 |
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| Citation Flow (Majestic) | 35 | 18 |
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| Referring domains (Majestic) | 168 | 45 |
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5 details filled in for both companies.
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