Bedrock Data vs Stroq
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 Stroq
| Detail | 
Bedrock Data | 
Stroq |
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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
| Find and prevent secrets and prompt injection attacks in AI coding agent sessions
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| Stage | Established
| Not given
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| Founded | 2020
| Not given
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| Based in | US
| Not given
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Not given
| Not given
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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
| - Scan recorded AI agent sessions for known credentials
- Guard against prompt injection attacks
- Local console with audit trails at 127.0.0.1
- Support for multiple AI coding agents including Claude Code, Cursor, and Codex CLI
- Default policy with 21 rules across 19 action classes
- Test policy against replayed attack scenarios
- No model or network in the guard's hot path
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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
| - Deterministic policy-based enforcement rather than model-based decisions
- Runs locally with no telemetry and no account required
- Open source and free forever under Apache-2.0
- Replayed 36 real attack scenarios with zero bypasses
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 45 ● no change since last check | 4 ▲ +2 (up) since last check |
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| Trust Flow (Majestic) | 17 | 1 |
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| Citation Flow (Majestic) | 35 | 15 |
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| Referring domains (Majestic) | 168 | 43 |
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4 details filled in for both companies.
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