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Pentrova vs Bedrock Data

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Pentrova compared with Bedrock Data
DetailPentrova logo PentrovaBedrock Data logo Bedrock Data
What it doesAI-powered platform for automated web app and API penetration testing with replay-verified exploits AI and data security platform that unifies data, identity, and AI context to reveal real risk without moving data
StageNot given Established
FoundedNot given 2020
Based inIN US
Pricing modelFreemium Contact for pricing
PricingPay Per Scan: 1 credit for $125, 5 credits for $545 ($109 each), 15 credits for $1,485 ($99 each), valid for 365 days. Professional: $199 per target/month or $1,999 per target/year. Enterprise: Custom pricing. Credits in INR: ₹6,999 for 1, ₹32,000 for 5 (₹6,400 each), ₹87,000 for 15 (₹5,800 each). P Not given
Key features
  • Adaptive test planner that adjusts testing based on application behavior
  • Authorization Matrix for multi-role privilege bypass detection
  • DOM XSS source-to-sink analysis including React, Angular, and Vue framework sinks
  • Sandbox proof-of-concept validation with sanitized exploits
  • Attack chain escalation converting individual findings to business-impact paths
  • LLM-driven login for SPA, OAuth, SAML, and MFA authentication
  • CI/CD integration with quality gates for GitHub Actions, GitLab, Jenkins, CircleCI, Azure, Bitbucket
  • OpenAPI, Postman, GraphQL, Protobuf, and WSDL API testing
  • Compliance-mapped reports for PCI DSS 4.0, ISO 27001:2022, HIPAA, and GDPR
  • 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
What makes it different
  • Deterministic proof-of-concept exploits instead of probabilistic vulnerability flags
  • Tests logic flaws and modern vulnerabilities beyond OWASP Top 10
  • Sandbox-first design eliminates customer data exposure and production risk
  • 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
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check45 no change since last check
Trust Flow (Majestic)517
Citation Flow (Majestic)2135
Referring domains (Majestic)17168

5 details filled in for both companies.

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