---
title: "Clearly AI vs Prime Security: a Prime alternative"
description: "Compare Clearly AI and Prime Security. Clearly AI runs security, privacy, vendor, AI, and compliance reviews on one platform, citing every finding."
canonical: https://clearly-ai.com/compare/prime
---

_Switch from Prime Security_

# The Prime Security alternative for every review your team runs

Prime Security is an agentic product security platform built around design-stage reviews, and it now extends into code and supply chain security. Clearly AI does that core work too: security design reviews, threat models, and AI code review on pull requests, built from your docs, tickets, and code. The difference is how far it goes. Clearly AI runs your privacy impact assessments, vendor risk reviews, AI risk reviews, and compliance evaluations on the same platform, against your own policies, and cites every finding to its source.

- [Contact Enterprise Sales](https://clearly-ai.com/demo)
- [Explore the platform](https://clearly-ai.com/platform)

**Clearly AI vs Prime Security**

Example agent activity for Acme Payments API: pulled ticket SEC-1482, read the design doc, analyzed repo acme/payments-api, checked 42 controls, drafted a threat model with 14 findings and 3 gaps flagged.

Trusted by the companies you trust the most

- HID
- Ericsson
- PayPal
- Modern Health
- Hagerty
- Rivian
- Infineon
- Bastion

_Why teams switch_

## 3 reasons teams move off ProdSec-only review tools

AI design review tools have made product security reviews faster. But most security teams run more than one kind of review. Privacy needs impact assessments, procurement needs vendor risk reviews, and governance teams need AI and compliance evaluations. When your review tool is built for product security, those reviews run somewhere else, on a separate license, with a separate audit trail.

### Every review, one platform

Security design reviews, threat models, and AI code review on PRs run alongside privacy impact assessments, vendor risk and AI risk reviews, compliance control evaluations, and custom reviews. Everything runs against your policies, with one audit trail, and your privacy and GRC teams use the same license.

[See how privacy reviews work](https://clearly-ai.com/solutions/privacy)

### Findings with cited sources you can trust

Every finding links to the document, ticket, or code behind it. When the evidence isn't there, Clearly AI flags the gap as an open question instead of guessing. Versioned templates tie each review to a specific project state, so results stay consistent and auditable.

[How Clearly AI tunes for accuracy](https://clearly-ai.com/platform/quality)

### Your standards, your deployment

Upload a policy or control spreadsheet and it becomes a live review template in hours, or build a custom review type of your own. Run Clearly AI as multi-tenant SaaS, single-tenant, or in your own cloud, with your own model.

[See how review templates work](https://clearly-ai.com/platform/quality)

_Side by side comparison_

## Prime Security vs Clearly AI

Everything about Prime Security on this page comes from its public product pages and announcements, current as of October 2026. That includes the code review, supply chain, and pentesting capabilities Prime announced in August 2026. If something here is out of date, tell us at marketing@clearly-ai.com and we'll fix it!

| | Clearly AI | Prime Security |
| --- | --- | --- |
| Where a review starts | A Jira ticket, design doc, repo, vendor questionnaire, or chat request · Triggered automatically from your tools or run on demand | Planning work in Jira, Confluence, GitHub, Azure DevOps, and Linear · Reviews triggered as features are created |
| Files it can read | PDF, with OCR · Word, PowerPoint, Excel, CSV, and TSV · Audio and video, transcribed · Images, for multimodal models · HTML · ZIP archives, unpacked and read file by file · Code, Markdown, JSON, YAML, XML, config files, and any other text file | Jira tickets, PRDs, Confluence pages, architecture docs, and code |
| Threat models and diagrams | Architecture and data flow diagrams with trust boundaries, generated from your evidence · Edited together in Draw.io, with the threat model updating to match | Data flow diagrams mapped from Jira tickets, PRDs, and Confluence pages · Threat models from design docs, or from design and code together |
| Threat knowledge | Frameworks like STRIDE, OWASP, MITRE ATT&CK, PASTA, LINDDUN, and MAESTRO · Review templates built by Clearly AI security engineers · Your policies, control libraries, and risk catalog | Your security policies and approved architecture patterns · Frameworks like NIST, CIS, and PCI |
| How findings are produced | Specialized agents reason over your system's own evidence · Evaluated against your policies and controls · Every finding cited to its source, with missing context flagged as a gap | Reasoning across designs, code, and architecture · Each finding validated before anyone sees it |
| Review types | Security design reviews and threat models · AI code review on PRs, including secrets scanning · Privacy impact assessments · Vendor risk and AI risk reviews · Compliance control evaluations · Custom reviews | Security design reviews and threat models · AI code review on PRs · Supply chain security · White box pentesting |
| Tailoring to your standards | Upload a policy or control spreadsheet · Live review template in hours · Custom review types built from your own templates · Templates as code, every change versioned | Reviews checked against your policies and approved patterns |
| After the review | Each review versioned against a specific project state · Risk registry with accept, mitigate, transfer, or stop decisions · Two-way ticket sync with Jira, Linear, and ServiceNow · Remediation and control verification in code | Fixes validated in code before tickets close |
| Workflow integration | Auto-triggers from Jira, GitHub, ServiceNow, Azure DevOps, Linear, and Aha! · Context from Confluence, Google Drive, SharePoint, Notion, GitLab, Azure Repos, Bitbucket, Archer IRM, OneTrust, Snyk, and Wiz · Results route to Jira, GitHub, Linear, Azure DevOps, ServiceNow, Slack, OneTrust, Notion, Google Drive, and SharePoint · Intake from Slack, Microsoft Teams, and Microsoft Power Apps · CLI and REST API | Jira, Confluence, GitHub, Azure DevOps, and Linear · Findings route to Jira, GitHub, and Slack |
| AI coding agents | MCP server for coding agents, such as Claude Code, Codex, Cursor, Devin, Copilot, and Kiro · Security design guidance at plan time | Guardrails for coding agents like Cursor and Claude Code |
| Deployment and model control | Multi-tenant SaaS, single-tenant, or your own cloud · SAML SSO, OIDC, SCIM, customer-managed keys · Bring your own model from OpenAI, Anthropic, or Amazon Bedrock | SaaS |

![A Clearly AI threat model finding opened from the findings list, with its cited source, reasoning, review history and the Publish to Risk Registry action.](https://clearly-ai.com/home/figma/findings-animation-still-v4.webp)

_Every finding shows the document, ticket, or code behind it._

_Enterprise-ready_

## Your data stays yours. Your model stays your choice.

Deploy Clearly AI as multi-tenant SaaS, a dedicated single-tenant environment, or inside your own cloud, with SAML SSO, OIDC, SCIM, and customer-managed keys. Bring your own model from OpenAI, Anthropic, or Amazon Bedrock. Clearly AI is SOC 2 Type II certified and never trains models on customer data. Every review is versioned against a specific project state, so you can show an auditor exactly what was reviewed, when, and why.

[See how Clearly AI handles security and deployment](https://clearly-ai.com/platform/trust-security-and-deployment)

- SOC 2 Type II compliant
- GDPR
- RSAC Innovation Sandbox Finalist 2026
- Amazon Bedrock Builders' Challenge winner 2025

_Proven outcomes_

## More of what ships, reviewed. Across every team.

- **~90%** Reduction in time per review
- **4x** Review capacity with the same headcount
- **From 10 to 100%** Product coverage

> “As soon as we started using Clearly AI, we saw an immediate reduction in the amount of time that not only my team was spending on the reviews, but that the business owners were actually spending having to give us the answers for the assessments.”
>
> — Ashley Haynes, Senior Director of Privacy, Trust and AI Governance, Ericsson Enterprise Wireless Solutions

[Read the Ericsson story](https://clearly-ai.com/customer-stories/ericsson)

_FAQ_

## Answers to your top questions

### What is Clearly AI?

Clearly AI is a continuous threat modeling platform for security, privacy, and GRC teams. It gathers context from the artifacts your team already works from and delivers structured threat models, privacy impact assessments, vendor risk reviews, and AI governance evaluations, with every finding cited to its source. It was founded by security engineers who ran hundreds of critical reviews at Amazon.

[Explore the platform](https://clearly-ai.com/platform)

### How is Clearly AI different from Prime Security?

Both run AI security design reviews and threat models from your planning work, designs, and code. Prime Security focuses on product security and now extends into code review, supply chain security, and pentesting. Clearly AI runs every review type your security, privacy, and GRC teams own on one platform, against your own policies, and cites every finding to the evidence behind it.

[How Clearly AI keeps reviews accurate](https://clearly-ai.com/platform/quality)

### Prime says it reviews every design automatically. Does Clearly AI?

Yes. Reviews trigger automatically from Jira, GitHub, ServiceNow, Azure DevOps, Linear, and Aha!, with no manual start required. The difference is in what each review covers and how findings are backed: Clearly AI evaluates each system against your policies and controls, and cites the source behind every finding.

[See how automated intake works](https://clearly-ai.com/platform/security-intake)

### Does Clearly AI review code, or just designs?

Both. Clearly AI can build a threat model directly from a code base, even when there's little documentation. On every pull request, its agents reason over the change in the context of the full repo and show whether it opens new attack surface or mitigates a known threat. It also scans for secrets and confirms that required mitigations landed in the code. It doesn't run pentests or replace software composition and supply chain scanners; it imports findings from tools like Snyk and Wiz as review context.

[See control and remediation verification](https://clearly-ai.com/platform/control-and-remediation-verification)

### Can our privacy, vendor risk, and GRC teams use the same platform?

Yes. Privacy impact assessments, vendor risk reviews, AI risk reviews, compliance evaluations, and custom reviews run on the same platform and license as your threat models, with the same citations and audit trail.

[See how vendor risk reviews work](https://clearly-ai.com/solutions/third-party-risk)

### What happens to our existing Prime reviews?

They carry forward. Upload your existing design reviews and threat models, and Clearly AI uses them as review context alongside your design docs, tickets, and code. There's nothing to redo before your first review with Clearly AI.

### Can we run Clearly AI alongside Prime Security?

You could! Most teams start with a sandbox using their own documents and templates, then an integrated evaluation connected to tools like Jira, ServiceNow, GitHub, or Azure DevOps. Run the same systems through both, and compare the results to your best security engineer's.

### Which methodologies and standards does Clearly AI support?

Clearly AI runs threat models against frameworks like STRIDE, MITRE ATT&CK, PASTA, LINDDUN, and MAESTRO, plus custom frameworks built from your own policies and control libraries. Upload a policy or control spreadsheet, and it becomes a live review template in hours.

[See the frameworks Clearly AI supports out of the box](https://clearly-ai.com/solutions/continuous-threat-modeling#frameworks)

### Is continuous threat modeling the same as continuous monitoring?

No. Continuous threat modeling means every change that ships gets a threat model, triggered from tools like Jira and GitHub or run on a schedule. Each review is a point-in-time assessment of a specific project version. Clearly AI doesn't passively watch running systems or dashboards.

### Where does our data live, and can we use our own model?

Clearly AI runs as multi-tenant SaaS, in a dedicated single-tenant environment, or inside your own cloud. Yes, you can bring your own model from OpenAI, Anthropic, or Amazon Bedrock, and Clearly AI never trains models on customer data.

[See security and deployment](https://clearly-ai.com/platform/trust-security-and-deployment)

### Does Clearly AI replace our security engineers?

No. Clearly AI handles context gathering, drafting, and routing, so your engineers spend their time on risk decisions. Reviewers can challenge any finding, push back, and approve the result.

### When is Prime Security a better fit?

If you want one product security vendor for design reviews, PR code review, supply chain security, and pentesting, Prime is built around that. If your team also runs privacy, vendor, AI, and compliance reviews, or you need single-tenant deployment and your own model, Clearly AI is built for that.

## See the difference on a system like yours

Bring a design review your team ran in Prime, and the list of reviews your team runs today, to the demo. We'll show you how Clearly AI reviews a comparable system, which of those reviews run on Clearly AI, and how to set up a side-by-side evaluation on your own.

- [Contact Enterprise Sales](https://clearly-ai.com/demo)

Get started with Clearly AI

## Learn more

- [Secure everything that ships](https://clearly-ai.com)
- [We built the tool we wished we had](https://clearly-ai.com/about-us)
- [One platform. From intake to remediation.](https://clearly-ai.com/platform)
- [Know everything that needs a review. Skip the 300-question form.](https://clearly-ai.com/platform/security-intake)
- [Ask only what matters. Get it right the first time.](https://clearly-ai.com/platform/conversational-intake)
- [Every finding, tracked to a decision](https://clearly-ai.com/platform/resolve/risk-registry)
- [Show leadership and auditors exactly what security reviewed](https://clearly-ai.com/platform/resolve/reporting)
- [Security reviews you can stand behind, every time](https://clearly-ai.com/platform/quality)
- [Threat models built from the tools you already use](https://clearly-ai.com/integrations)
- [Threat models that know about today's attacks](https://clearly-ai.com/platform/threat-intelligence)
- [Automate every step around the review](https://clearly-ai.com/platform/workflows)
- [Threat models your teams can work on together](https://clearly-ai.com/platform/collaboration)
- [Understand the system before the review starts](https://clearly-ai.com/platform/enterprise-context-graph)
- [Trust, security, and deployment](https://clearly-ai.com/platform/trust-security-and-deployment)
- [Every plan reviewed. Every risky change threat modeled.](https://clearly-ai.com/platform/ide-and-mcp)
- [Verify what actually shipped](https://clearly-ai.com/platform/control-and-remediation-verification)
- [A current threat model for everything that ships](https://clearly-ai.com/solutions/continuous-threat-modeling)
- [Prove every product that ships meets your security bar](https://clearly-ai.com/solutions/product-security-assurance)
- [Privacy reviews your team can stake decisions on](https://clearly-ai.com/solutions/privacy)
- [Every vendor reviewed against your standards](https://clearly-ai.com/solutions/third-party-risk)
- [Review every design before it's built](https://clearly-ai.com/solutions/design-and-architecture-reviews)
- [Secure the AI you build, buy, and code with](https://clearly-ai.com/solutions/ai-agentic-security)
- [Every regulation you answer to. One review process.](https://clearly-ai.com/solutions/compliance)
- [Every product ready for the Cyber Resilience Act without growing your team](https://clearly-ai.com/solutions/compliance/cyber-resilience-act)
- [Build vs. buy for security review automation](https://clearly-ai.com/compare/claude-chatgpt)
- [The ThreatModeler alternative built from your own docs, code, and policies](https://clearly-ai.com/compare/threatmodeler)
- [The Clover Security alternative with findings your team can trust](https://clearly-ai.com/compare/clover)
- [The Prime Security alternative for every review your team runs](https://clearly-ai.com/compare/prime)
- [Security and Privacy](https://clearly-ai.com/trust/security-privacy)
- [Clearly AI Privacy Policy](https://clearly-ai.com/trust/privacy-policy)
- [Clearly AI Subprocessors](https://clearly-ai.com/trust/subprocessors)
- [AI Risk Reviews](https://clearly-ai.com/use-cases/ai-risk-reviews)
- [Automate Triage](https://clearly-ai.com/use-cases/automate-triage)
- [Privacy Impact Assessments](https://clearly-ai.com/use-cases/privacy-impact)
- [Vendor Risk Assessments](https://clearly-ai.com/use-cases/vendor-risk)
- [Threat Modeling](https://clearly-ai.com/use-cases/threat-modeling)
- [Contact](https://clearly-ai.com/contact)
- [Contact Enterprise Sales](https://clearly-ai.com/demo)
- [Latest from the Clearly AI blog](https://clearly-ai.com/blog)
- [In the news](https://clearly-ai.com/press)
- [How Ericsson Enterprise Wireless Solutions cut review times by up to 80%](https://clearly-ai.com/customer-stories/ericsson)
- [How HID Global reviews 300+ products for the Radio Equipment Directive with the team it already has](https://clearly-ai.com/customer-stories/hid-global)
- [How Rivian scaled privacy and AI governance reviews 4x without adding headcount](https://clearly-ai.com/customer-stories/rivian)
- [Part 2! Okay, privacy is different from security. Now what?](https://clearly-ai.com/blog/part-2-okay-privacy-is-different-from-security-now-what)
- [How AI is rewiring our product engineering workflow](https://clearly-ai.com/blog/how-ai-is-rewiring-our-product-engineering-workflow)
- [Good Data Scientists and Bad Outcomes, Part 1: What's the difference between security and privacy work?](https://clearly-ai.com/blog/good-data-scientists-and-bad-outcomes-what-s-the-difference-between-security-and-privacy-work)
- [Why I Joined Clearly AI](https://clearly-ai.com/blog/why-vp-marketing-joined-clearly-ai)
- [Skip the Marketing: Clearly AI for Technical People](https://clearly-ai.com/blog/clearly-ai-technical-explanation)
- [Clearly AI Raises $8.4M Seed Round to Scale Product Security](https://clearly-ai.com/blog/seed-round)
- [Why We Started Clearly AI](https://clearly-ai.com/blog/why-we-started-clearly-ai)
- [Applying AI to Threat Modeling - Where AI Thrives, Survives, and Dies](https://clearly-ai.com/blog/applying-ai-to-threat-modeling)
- [Why We Build in Public](https://clearly-ai.com/blog/why-we-build-in-public)
- [Solving the Threat Modeling Bottleneck with AI Workflows](https://clearly-ai.com/blog/solving-the-threat-modeling-bottleneck-with-ai-workflows)
- [Clearly AI Named Finalist in the 2025 Okta Startup Challenge](https://clearly-ai.com/blog/clearly-ai-named-finalist-in-the-2025-okta-startup-challenge)
- [Security, SOC 2, & Startups](https://clearly-ai.com/blog/security-soc-2-startups)
- [Building Reliable AI Systems for Security and Privacy Reviews](https://clearly-ai.com/blog/building-reliable-ai-systems-for-security-and-privacy-reviews)
- [How to Automate Security and Privacy Reviews with Clearly AI](https://clearly-ai.com/blog/how-to-automate-security-and-privacy-reviews-with-clearly-ai)
- [One Year of Clearly AI](https://clearly-ai.com/blog/one-year-of-clearly-ai)
- [Navigating EU RED Compliance: Meeting the August 2025 Deadline](https://clearly-ai.com/blog/navigating-eu-red-compliance-meeting-the-august-2025-deadline)
- [The AI Engineer Cheat Sheet](https://clearly-ai.com/blog/the-ai-engineer-cheat-sheet)
- [Intelligent Vendor Risk Assessments](https://clearly-ai.com/blog/intelligent-vendor-risk-assessments)
- [Clearly AI wins the AWS Bedrock Builder's Challenge](https://clearly-ai.com/blog/clearly-ai-wins-the-aws-bedrock-builder-s-challenge)
- [Reviews, reviews, reviews!](https://clearly-ai.com/blog/reviews-reviews-reviews)
- [Halfway through YC](https://clearly-ai.com/blog/halfway-through-yc)
- [llms.txt — site overview for LLMs](https://clearly-ai.com/llms.txt)
- [llms-full.txt — full site content for LLMs](https://clearly-ai.com/llms-full.txt)
- [sitemap.xml — all public routes](https://clearly-ai.com/sitemap.xml)
- [Documentation](https://docs.clearly-ai.com/docs)

[Canonical page](https://clearly-ai.com/compare/prime)