Award-Winning Design Stage Risk Management Platform

Product Security Agents, from Design to Deployment

From architecture decisions and design changes to implementation and code review, Prime’s AI Agents help Product Security teams identify risk early and ensure secure delivery.
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These product security teams get it

Meet Your Agentic Security Architect

Assigned to every feature, release, and developer - human or agentic. Finally, Product Security that scales with AI-driven development.

Automate
Discover
Review
Guard
Guide
Validate

Automate all your design reviews

Automatically run design reviews, identifying risks early and delivering mitigation guidance directly into engineering workflows.

Run security reviews in minutes vs. days

Achieve 98% accuracy and consistency across reviews

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Detect, prioritize, and measure design risk

Gain full visibility into the high priority design risks across planned development work, whether it originates in Jira tickets, design documents, architecture diagrams, or AI coding tools.

Measure risk across 100% of development plans

Reduce risk originating at design by 80%

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Review every code change

for security controls

Ensure no code reaches production without a security review verifying required security controls, whether written by developers or generated by AI.

100% security review coverage for all code changes

3× improvement in detecting missing security controls

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AI Coding Guardrails

Integrate contextual security guardrails directly into AI coding tools so AI-generated code follows your organization’s policies and approved patterns from the moment it is written.

Ensure secure Code Generation tooling usage

Reduce insecure implementation by 60%

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Real time security guidance for developers

Give developers real-time security guidance on every action, question, or issue directly within the communication platforms and development tools they already use.

100% security review coverage for all code changes

3× improvement in detecting missing security controls

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Validate secure implementation

before code reaches production

Confirm that code changes align with approved architecture, required security controls, and prior mitigation decisions before they are deployed.

Increase implementation of required security controls by 4×

Reduce drift from approved security patterns and requirements by 95%

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Modern product security teams move their teams forward with Prime

Minutes to Deploy + Immediate Time to Value

Product Security

(aka your security team's new best friend)

See Prime Security in Action

Book a demo to see Prime in action

FAQ

Prime integrates with leading engineering design and planning tools, including Jira, Confluence, Google Drive, Azure DevOps, Linear, and Git Issues. We’re continuously expanding our integrations. Reach out if you need support for a specific tool.

No, Prime empowers Product Security Engineers and Security Architects. Prime helps scale the team by automatically monitoring all engineering tasks and removes manual and tedious work from their day-to-day so the experts can focus on high-value tasks.

Yes! While some Jira tickets might be poorly written, Prime uses relationships in Jira, historical data, and additional data sources to enrich every task and understand the risk associated with it.

Prime conducts multiple iterations of every risk assessment to identify anomalies and errors with the internal analysis. Internal quality benchmarks are further used to control the quality and accuracy of presented results.

Prime doesn’t train models or sell customer data. All customer data is stored in a customer-dedicated AWS tenant. Customers can purge all or partial data upon request.

As a cybersecurity company, security is top of mind for us. Prime is SOC2 Type II certified to ensure that we build the most secure software for our customers.

Similarly to Threat Modeling, Prime focuses on the Design and Planning stages of the PDLC. However, we don’t believe that to assess risk engineers and security teams have to create complex diagrams. Prime utilizes available data and metadata to assess risk for each engineering task and plan. In some cases, this process might replace threat modeling, however, this is dependent on each company’s preferences.