Prompt Armor
Prompt Armor delivers AI vendor risk intelligence that assesses LLM data exposure across your third-party portfolio.
If AI is buried inside third-party tools you can't audit directly, PromptArmor is one of the few products built for exactly that gap. The 26-vector assessment plus a dated alert feed your GRC suite doesn't replicate is the real product; the Atlassian Rovo research shows the threat intel actually feeds back into scoring. It's a specialist layer on top of an existing TPRM program, not a replacement for one.
Verified 2d ago · liveness 77/100 · cite: rightaichoice.com/tools/prompt-armor
- Enterprise TPRM teams replacing generic AI questionnaires with AI-specific vendor risk assessments
- InfoSec teams monitoring third-party LLM integrations for indirect prompt injection and exfiltration risk
- GRC teams mapping third-party AI risk to OWASP LLM Top 10, NIST AI RMF, and MITRE Atlas
- Privacy and legal teams tracking AI subprocessors, training-data opt-outs, and retention obligations
- Small businesses with only a handful of AI vendors and no formal TPRM program
- Teams wanting a broad GRC platform with policy, audit, and control libraries across all risk domains
- Organizations that need on-premise-only deployment or runtime enforcement rather than assessment and monitoring
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Skip PromptArmor if your third-party AI risk work is one line item in an annual questionnaire and you have no TPRM platform to layer intelligence onto — or if what you actually need is inline blocking rather than assessment and monitoring.
Enterprise coverage is quoted per vendor volume with no published rate card, so budget depends on how large your portfolio is before you see a number
The $0 free trial covering 5 AI applications with one month of monitoring is aimed at teams proving the concept; the real product is custom Enterprise pricing, which puts PromptArmor in the same budget conversation as TPRM platforms like ProcessUnity or Archer rather than cheaper questionnaire-only AI risk tools. Fortune 50 and Am Law 50 customers suggest the pricing is built for large portfolios.
In short
Prompt Armor — Prompt Armor delivers AI vendor risk intelligence that assesses LLM data exposure across your third-party portfolio. Best for Enterprise TPRM teams replacing generic AI questionnaires with AI-specific vendor risk assessments, InfoSec teams monitoring third-party LLM integrations for indirect prompt injection and exfiltration risk, GRC teams mapping third-party AI risk to OWASP LLM Top 10, NIST AI RMF, and MITRE Atlas. Free to use.
What people actually say about Prompt Armor — is it worth it?
We scanned public community sources for Prompt Armor on Jul 25, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Prompt Armor? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Identify which vendors leverage AI and which types — applications, agents, models, skills, connectors, plugins
- Assess LLM interactions with data across 26 risk vectors per vendor AI asset
- Map findings to NIST AI RMF, OWASP LLM Top 10, and MITRE Atlas frameworks
- Continuous monitoring for AI scope, permission, and data-access changes
- Dated alerts when vendors enable AI features or broaden data access by default
- Indirect prompt injection and data exfiltration analysis for every vendor AI asset
- Full vendor reports with AI-specific risk scores
- Map relationships between AI assets and the data they touch
- Visibility into which vendors train on your data by default
- Track data flows into AI subprocessors across the portfolio
- Insight into vendor training-data opt-out policies and data retention obligations
- Shadow IT discovery for vendors exposing data to AI models
- Assurance module for demonstrating your own AI controls to partners and auditors
- Real-time API access for integration with existing systems
- Role-based access control with OAuth / SSO identity management
About Prompt Armor
PromptArmor is AI risk intelligence for third-party risk management. It ingests your vendor portfolio and tells you which vendors are actually running AI — applications, agents, models, skills, connectors, plugins — then keeps watching those assets after the review closes. The buyers are TPRM, InfoSec, privacy, legal, GRC, and security assurance teams at large enterprises, law firms, and healthcare organizations; the site claims customers covering more than $2 trillion in market cap, from the Fortune 50 to the Am Law 50. The core work splits into five jobs: Identify, Assess, Monitor, Map, and Assurance. Assessment scores each AI asset across 26 risk vectors mapped to NIST AI RMF, OWASP LLM Top 10, and MITRE Atlas. InfoSec gets dedicated indirect prompt injection analysis — how application construction, connector scope, and data access combine into exfiltration and phishing vectors. Privacy and legal reviewers see which vendors train on your data by default, where data flows into AI subprocessors, and what the opt-out and retention terms actually say. Monitoring is the part that keeps the data fresh. The homepage alert feed is dated and specific: Dynatrace enabling generative AI by default for all new tenants as of March 23, 2026, Atlassian opting accounts into metadata training between April 16 and May 19, Microsoft 365 Copilot expanding data scope to real-time screen and camera analysis in voice sessions, Anthropic deprecating the "Allow bypass permissions" toggle, and Lovable enabling automatic skill invocation by default. Results push into ServiceNow, ProcessUnity, ZScaler, Netskope, Archer, and Slack rather than living in a separate console. The team also publishes its own vulnerability research, including the August 2026 finding that Atlassian Rovo can exfiltrate data and bypass controls. Against a general-purpose GRC suite or a static AI questionnaire, PromptArmor is narrower and more current — it covers the AI layer of vendor risk specifically, not
Behind the Verdict
Where this earns its place: you already run a TPRM machine on ServiceNow, ProcessUnity, or Archer, and your questionnaires keep coming back with "we don't use AI" while the vendor's release notes say otherwise. PromptArmor answers the question your process can't — which of these tools turned AI on by default, when, and what data can now reach a model. Continuous monitoring is the differentiator; a point-in-time assessment goes stale the moment a vendor ships a feature. The alert feed is unusually concrete, which matters more than it sounds. "Dynatrace enabling generative AI by default for all new tenants as of March 23, 2026" is an actionable line item. A generic "AI risk score" is not. Same with Anthropic's admin toggle deprecation and Lovable's automatic skill invocation default — these are the small configuration shifts that quietly widen scope. Where it bites: this is an assessment and monitoring layer, not runtime enforcement. If your requirement is blocking data flows at the network edge, you're looking at a different product category. Deployment is SaaS only, so on-premise-only shops should pass. And the value scales with portfolio size — under a handful of AI vendors, you're paying enterprise money to review a list you could read in an afternoon. Closest alternative is the AI module inside a broad GRC platform. Those win on breadth — policy, audit, control libraries, one vendor relationship. PromptArmor wins on depth and freshness in the AI slice, and it plugs into those same platforms rather than competing with them. For the Fortune 50-to-Am Law 50 buyer the site targets, that's a complement, not a rip-and-replace. Pricing is worth noting for budget planning: the free trial genuinely covers your first 5 applications with a month of monitoring, including
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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.
A business unit wants to buy an AI-enabled SaaS tool. You run the vendor through PromptArmor, review the 26-risk-vector assessment mapped to OWASP LLM Top 10 and NIST AI RMF, and attach the vendor report to the ServiceNow risk record before the contract is signed.
Outcome: Procurement gets an AI-specific risk score and a documented data-flow map instead of a blank questionnaire answer, cutting the evaluation cycle.
Your portfolio is already onboarded and continuous monitoring is running. A dated alert fires that a vendor has expanded its connector scope or enabled generative AI by default for new tenants.
Outcome: You open a review with the vendor before the change reaches production, using PromptArmor's alert detail as the conversation starter.
You need to answer whether a vendor trains on your data by default and what its opt-out and retention terms are. You pull the vendor's data-flow and subprocessor view.
Outcome: A defensible privacy position with the training-data opt-out and retention obligations documented per vendor asset.
Use Cases
- Assess AI risks of vendors during procurement before a contract is signed
- 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
- Track vendor training-data opt-out and retention obligations for privacy and legal review
Limitations
- PromptArmor assesses and monitors third-party AI vendor risk rather than providing runtime protection — it will not block an exfiltration already in progress.
- Free access covers 5 AI applications with 1 month of continuous monitoring; broader coverage runs on custom Enterprise pricing arranged through a demo.
- Role-based access control, SSO/OAuth identity management, API access, and native connectors are listed on the Enterprise tier, so integration fit cannot be fully validated during the free window.
- The platform assumes an existing vendor-risk program to layer onto; organizations starting from a spreadsheet will need to build the intake and enforcement process around it.
as of 2026-10-09
Verification history
We have re-verified Prompt Armor 17 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 17 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Prompt Armor tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free Trial
$0
Ideal for
Teams starting to look at AI risk in vendors, or an existing TPRM group that wants to pilot PromptArmor against its 5 highest-exposure AI vendors before committing.
What this tier adds
Starting tier and free entry point: covers 5 AI applications, 26-risk-vector assessment, indirect prompt injection and exfiltration analysis, OWASP LLM Top 10 / NIST AI RMF / MITRE Atlas mapping, and 1 month of continuous monitoring.
Enterprise
Custom
Ideal for
Organizations with a vendor portfolio beyond 5 AI assets that need portfolio-wide coverage, workflow integration, and identity controls across the TPRM program.
What this tier adds
Adds unlimited-application coverage scaled to your vendor volume, API access and native connectors, RBAC with SSO/OAuth, dedicated research guidance, 24-hour premium support with a dedicated Slack channel, and managed onboarding and training.
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.
The $0 free trial covering 5 AI applications with one month of monitoring is aimed at teams proving the concept; the real product is custom Enterprise pricing, which puts PromptArmor in the same budget conversation as TPRM platforms like ProcessUnity or Archer rather than cheaper questionnaire-only AI risk tools. Fortune 50 and Am Law 50 customers suggest the pricing is built for large portfolios.
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.
If you already run TPRM on ServiceNow, ProcessUnity, or Archer, expect the free-trial pilot on 5 applications to be a short cycle — vendor ingestion plus first assessments — before you see value. Full-portfolio coverage, API access, SSO/OAuth, and connectors come with Enterprise onboarding, enablement, and training, which the vendor delivers as a managed step.
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 spreadsheet and questionnaire TPRM: start on the free trial with your 5 highest-AI-exposure vendors, then scope Enterprise coverage to the rest of the portfolio
- →From a generic GRC/TPRM questionnaire module: keep intake and contract flow where it is and layer PromptArmor's AI findings as the enrichment source on ServiceNow, ProcessUnity, or Archer
- →From ad-hoc vendor AI research: consolidate the dated alert feed and per-vendor reports into a single monitored portfolio so scope changes stop arriving by email
- ↗To a broad GRC suite with policy and control libraries: export vendor AI risk scores and data-flow maps into the suite's third-party risk register
- ↗To runtime enforcement (ZScaler, Netskope): keep PromptArmor as the intelligence layer and hand enforcement policy decisions to the inline control
- ↗To an in-house research process: retain the published research on indirect prompt injection and the Atlassian Rovo findings as reference material
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Prompt Armor”, and we withheld 6: 6 did not mention Prompt Armor. We are showing none, because we could not prove any of them are about Prompt Armor.
Official links
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Featured Head-to-Head Comparisons
Checkmarx vs Prompt Armor
If your primary concern is monitoring AI risks across your vendor ecosystem—especially detecting prompt injection and data exfiltration in third-party LLMs—Prompt Armor is the specialized choice. But if you need to secure AI-generated code in your own development pipeline, with SAST, SCA, and agentic workflows, Checkmarx is the stronger fit. Both are enterprise-grade with contact pricing; your decision hinges on whether you worry more about external vendor AI or internal code-level AI risk.
Alloy vs Prompt Armor
Pick Prompt Armor if your primary concern is AI-specific third-party risk and you need deep framework alignment (OWASP, NIST, MITRE). Choose Alloy if you're a regulated financial institution needing a unified identity, fraud, and compliance orchestration platform with broad data partner integration.
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