Bedrock Data vs falc0n
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 falc0n
| Detail |
Bedrock Data |
falc0n |
| What it does | AI and data security platform that unifies data, identity, and AI context to reveal real risk without moving data
| Independent security researcher mapping India and APAC's exposed attack surface at internet scale
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| Stage | Established
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| Founded | 2020
| Not given
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| Based in | US
| IN
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| Pricing model | Contact for pricing
| Not given
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| Pricing | 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
| - Internet-scale sweeps of India and APAC address space for exposed infrastructure
- Manual verification of all findings before publication
- Mapping of findings to DPDP Act and ISO 27001 compliance frameworks
- Detection of exposed Swagger and OpenAPI specifications with 38% of specs exposing unauthenticated routes
- GraphQL introspection scanning finding 2,159 services exposing full schema without authentication
- proxy2model tool to map web applications from captured traffic
- cvecheck series assessing CVEs with affected scope and exploitation evidence
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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
| - Focus on India and APAC region often overlooked by mainstream security research
- Country-scale studies verified by manual re-check rather than relying on scanner output alone
- Open-source tools built from patterns discovered during research
- Research published with governance context and remediation playbooks
- Detailed findings on infrastructure exposures with specific counts and evidence
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 45 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 17 | 0 |
| Citation Flow (Majestic) | 35 | 0 |
| Referring domains (Majestic) | 168 | 0 |
4 details filled in for both companies.
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