Prompt Armor
Enterprise AI third-party risk monitoring and governance platform
Essential for large enterprises with heavy AI vendor dependencies. Its research-led threat intelligence is unmatched for AI third-party risk. Overkill for small teams; choose Vanta or OneTrust if you need broader GRC without deep AI specialization.
- Enterprise TPRM teams needing AI-specific vendor risk assessments
- InfoSec teams monitoring third-party LLM integrations for prompt injection risk
- GRC teams aligning AI risk to OWASP, NIST, MITRE frameworks
- Legal and privacy teams assessing AI data handling and opt-out policies
- Small businesses with minimal AI vendor usage
- Teams seeking a general-purpose GRC platform without AI specialization
- Organizations looking for a free or low-cost risk tool
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Skip Prompt Armor if you are a small business with minimal AI vendor usage or need a free, self-service risk tool.
Enterprise contracts likely require a minimum annual commitment, so small teams may pay for unused capacity.
Pricing is undisclosed but likely enterprise-tier (five figures+ annually). For mid-market, Vanta or OneTrust offer broader GRC at lower entry points, but lack Prompt Armor's AI-specific depth. Best for Fortune 500- and Am Law 50-scale teams.
In short
Prompt Armor — Enterprise AI third-party risk monitoring and governance platform. Best for Enterprise TPRM teams needing AI-specific vendor risk assessments, InfoSec teams monitoring third-party LLM integrations for prompt injection risk, GRC teams aligning AI risk to OWASP, NIST, MITRE frameworks. Contact Sales pricing.
Viability Score
How likely is Prompt Armor to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- AI vendor identification across ecosystem
- Assess LLM interactions with data across 26 risk vectors
- Continuous monitoring for AI scope changes
- Alerts for AI permission expansions and defaults
- Map relationships between AI assets and data
- Assurance module for AI controls showcase
- Threat intelligence for novel AI attacks
- Indirect prompt injection detection in vendor AI
- OWASP LLM Top 10 alignment
- NIST AI RMF alignment
- MITRE Atlas alignment
- Data exfiltration vulnerability research
- Role-based access control
- API for integration with existing systems
- Dedicated guidance from AI security experts
About Prompt Armor
Prompt Armor is an enterprise AI risk platform for TPRM, InfoSec, privacy, legal, and GRC teams to assess, monitor, and map AI risks across their vendor ecosystem. It identifies which vendors use AI, evaluates LLM interactions with data across 26 risk vectors aligned with OWASP LLM Top 10, NIST AI RMF, and MITRE Atlas, and provides continuous monitoring for AI scope changes. The platform also includes an assurance module for showcasing AI controls to accelerate security reviews. Trusted by Fortune 50 to Am Law 50 firms, Prompt Armor's threat intelligence has uncovered vulnerabilities like data exfiltration via indirect prompt injection in Claude for Excel, Google Antigravity, Slack AI, Writer.com, ChatGPT for Google Sheets, and Microsoft Copilot Cowork. Unlike general GRC tools, Prompt Armor specializes in AI-specific risks, offering research-backed detection of emerging threats.
Behind the Verdict
We'd reach for Prompt Armor when your organization has dozens (or hundreds) of AI vendors and you need continuous monitoring of their AI security posture. The platform's 26 risk vectors and alignment with OWASP, NIST, and MITRE make it a natural fit for compliance-driven teams. Threat intelligence is a standout: Prompt Armor's research team regularly uncovers novel vulnerabilities like the ChatGPT for Google Sheets exfiltration, giving subscribers early warning. But if you're a startup with few AI dependencies, this is overkill — you'll pay for capabilities you won't use. Compared to Vanta or OneTrust, Prompt Armor trades breadth for depth; you get AI-specific rigor but miss general GRC features like compliance automation for SOC 2. Integration with ServiceNow, ProcessUnity, ZScaler, Netskope, and Archer means it slides into existing TPRM workflows. The catch: pricing is opaque (contact sales), and there's no free tier or self-serve trial. In practice, large enterprises with dedicated security teams will justify the cost; smaller teams should look elsewhere.
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Real-world workflow fit
Concrete scenarios for the personas Prompt Armor actually fits — and what changes day-one when you adopt it.
Onboard a new vendor that uses Claude for customer support.
Outcome: Within hours, Prompt Armor identifies all vendor AI assets, scores risk across 26 vectors, and flags a potential prompt injection vector in the connector scope.
Monitor existing AI vendors for changes in data handling.
Outcome: Promp Armor alerts you when Atlassian opts accounts into metadata training by default, allowing you to enforce opt-out before data exposure.
Assess a vendor's AI subprocessor list for compliance.
Outcome: You map data flows to AI subprocessors, review training data opt-out policies, and generate a report aligned to NIST AI RMF in a single dashboard.
Use Cases
- Assess AI risks of vendors during procurement
- Monitor third-party AI tools for changes in LLM permissions or data handling
- Generate compliance reports for AI governance reviews
- Map data flows between vendors' AI assets and corporate data
- Accelerate TPRM evaluations with automated AI risk scoring
- Showcase your own AI controls to partners for faster security review
- Prioritize remediation based on threat intelligence of novel AI attacks
Models Under the Hood
as of 2026-07-14
Limitations
- Pricing is not publicly disclosed, suggesting enterprise-only contracts with no self-service tier.
- No API, plugin, or CLI access mentioned, limiting automation and customization.
- The platform focuses on third-party risk rather than protecting internal AI models or offering runtime defenses against prompt injection.
- Setup likely requires a sales engagement and may involve onboarding time for TPRM integration.
as of 2026-06-29
Where the pricing makes sense
The company stage and team size where Prompt Armor's pricing actually pencils out — and where peers do it cheaper.
Pricing is undisclosed but likely enterprise-tier (five figures+ annually). For mid-market, Vanta or OneTrust offer broader GRC at lower entry points, but lack Prompt Armor's AI-specific depth. Best for Fortune 500- and Am Law 50-scale teams.
Setup time & first value
How long it actually takes to get something useful out of Prompt Armor — broken out by persona, not the marketing-page minute.
For TPRM teams with existing vendor lists, first assessment can be done within a day after sales onboarding. Full continuous monitoring across the portfolio may take 1-2 weeks to configure integrations and set alert thresholds.
Switching to or from Prompt Armor
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From spreadsheets: import your vendor list via CSV and map to AI risk profiles manually.
- →From general GRC tools (e.g., OneTrust): export vendor assessments and import into Prompt Armor via its API (requires custom scripting).
- ↗To a general GRC platform: export risk reports and manually re-enter AI-specific findings.
- ↗To a custom solution: use the API to pull historical alerts and assessment data.
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