Drata vs Prompt Security

Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.

Canonical URL: https://aicompliancevendors.com/compare/drata-vs-prompt-security

Drata

Modern GRC, Compliance & Trust Automation

Drata is a compliance automation platform that continuously monitors security controls, automates evidence collection, and supports multiple frameworks including SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, and ISO 42001 for AI management systems. It differentiates through AI-powered features like policy-to-control mapping, questionnaire automation, and risk workflows, targeting enterprises needing scalable GRC to accelerate audits, manage vendor risks, and demonstrate trust. Typical buyers are security and compliance teams in SaaS, tech, and regulated sectors; recent developments include opening a San Francisco HQ and SafeBase acquisition for enhanced trust centers.

Last verified April 24, 2026San Francisco, US

Prompt Security

Prompt Security is the AI security company helping you manage GenAI risks.

Prompt Security is a Tel Aviv-based AI security company founded in August 2023 by Itamar Golan (CEO) and Lior Drihem (CTO), both alumni of Israel's elite Unit 8200 with prior experience at Check Point and Orca Security. The company provides an enterprise platform for securing all generative AI interactions — covering employee AI tool usage (shadow AI discovery, data protection), homegrown AI applications (prompt injection defense, output filtering), AI code assistants, and agentic AI security including MCP gateway protection. Prompt Security is a core contributor to the OWASP Top 10 for LLM Applications. The company raised $23M prior to its acquisition by SentinelOne, which was completed on September 5, 2025. Prompt Security continues to operate as a standalone platform and product brand within SentinelOne's Singularity platform. CRN named it a 2025 Stellar Startup in Security.

Last verified April 22, 2026Tel Aviv, Israel

What the data shows

We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.

  • Shared framework coverage: ISO/IEC 42001, NIST AI RMF
  • Only Drata covers: GDPR Art. 22, HIPAA, SOC 2
  • Only Prompt Security covers: EU AI Act
  • Shared capabilities: 5 of 11 listed.

Want our editorial take? Email the editors or read our methodology.

At a glance

AttributeDrataPrompt Security
Founded20202023
HeadquartersSan Francisco, USTel Aviv, Israel
Employees501-100011-50
Funding$328M total (Series C, 2022)Series A, $23M total raised ($5M seed 2023, $18M Series A Nov 2024 led by Jump Capital). Acquired by SentinelOne, completed September 5, 2025 for approximately $180–$250M in cash and stock.
PricingContact for pricingNow part of SentinelOne Singularity Platform. Continues as a standalone product. Enterprise pricing only; contact sales or SentinelOne.
WebsiteVisit siteVisit site

Framework coverage

FrameworkDrataPrompt Security
EU AI ActFull
GDPR Art. 22Partial
HIPAAComprehensive
ISO/IEC 42001ComprehensiveFull
NIST AI RMFComprehensivePartial
SOC 2Comprehensive

Capabilities

CapabilityDrataPrompt Security
AI Model Inventory
Audit Evidence Collection
Bias & Fairness Testing
LLM Guardrails & Content Filtering
LLM Red Teaming
Model Monitoring
Policy Management
Regulatory Intelligence
Risk Assessment Workflow
Third-Party AI Risk Management
Third-Party AI Vendor Risk

Industries served

Drata

  • SaaS & Technology
  • Financial Services
  • Healthcare
  • Government & Public Sector

Prompt Security

  • Financial Services
  • Healthcare
  • Insurance
  • Employment & HR
  • Education
  • SaaS & Technology
  • Retail & E-commerce

Integrations

Drata

  • Okta
  • Slack
  • GitHub
  • AWS SageMaker
  • Google Vertex AI
  • Microsoft Entra ID
  • Rippling

Prompt Security

  • Okta
  • Slack
  • OpenAI API
  • GitHub
  • Azure Entra ID
  • Jira
  • Anthropic API

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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.