Clearly AI

What Clearly AI does

Clearly AI automates design reviews, threat models, and security and privacy assessments directly within your development workflow, turning weeks of manual work into minutes. Built by former Amazon security leaders, it is a platform for every security and privacy workflow, supercharging security teams without adding headcount. The platform customizes to company policies and frameworks, delivering consistent, high-quality assessments. It reduces review completion time by 90%, provides real visibility into risk across products, vendors, and systems, and integrates seamlessly with tools like Jira, GitHub, and Confluence. Clearly AI aims to make the secure path easy at every security decision, augmenting teams without replacing human touch. It is designed to scale security teams instantly by automating design reviews and threat modeling.

Products

• Review AutomationAutomates security and privacy reviews, triggering AI-powered reviews from Jira tickets, GitHub pull requests, or documentation updates. Clearly AI analyzes context, identifies risks, and generates structured findings automatically.
• SecureAdvisorActs as an AI security consultant trained on company knowledge and industry standards, providing instant security guidance and contextual, policy-aware answers to security questions.
• SHIFT-LEFT SECURITYIdentifies security risks earlier in the development process by analyzing code, documentation, and policies, providing contextual guidance and actionable findings before risks reach production.
• Risk Registry and Threat DatabaseA centralized system for every identified risk, automatically storing, mapping, and tracking findings across projects, maintaining visibility into ownership, remediation status, and long-term risk trends.
• Automated Threat ModelingAutomatically analyzes design documentation or code against threat modeling frameworks (STRIDE, PASTA, MAESTRO) to surface threats and generate detailed diagrams, centralizing tracking of findings.
• Automated AI Risk ReviewsEvaluates a wide range of AI risks, ensures AI controls are in place, requests missing information automatically via JIRA, and escalates high-risk AI usage fast.
• Automated Privacy Impact Assessments (PIAs)Helps catalog and classify data, identify controls, and evaluate data handling risks, generating regulator-ready documentation in minutes.
• Automated Vendor Risk AssessmentsRemoves manual effort, extracts information from vendor documentation, and aligns it against organizational standards to evaluate vendors against technical, physical, and administrative controls.

Key capabilities

• 90% faster reviews
• Real visibility into risk
• Seamless workflow integration
• One platform for every security and privacy workflow
• Security at every stage of the SDLC
• Connect, customize, and automate at enterprise scale
• AI-native intelligence
• Powered by your company and industry knowledge
• Automated compliance reporting
• Standardized evidence collection
• Centralized workflows across frameworks
• Audit readiness & evidence collection
• DPIAs & AI governance reviews
• Risk framework alignment
• Vendor & third-party risk management
• Cut audit prep time
• Minimize compliance costs
• Gain full risk visibility
• Strengthen organizational security
• Generate Detailed Diagrams (Threat Modeling)
• Centralize Tracking of Findings (Threat Modeling)
• Evaluate risks holistically (AI Risk Reviews)
• Request missing information automatically (AI Risk Reviews)
• Escalate high-risk AI usage fast (AI Risk Reviews)
• Classify data (PIAs)
• Identify controls (PIAs)
• Evaluate data handling risks (PIAs)
• Catalog evidence (Vendor Risk Assessments)
• Follow Up with Vendors (Vendor Risk Assessments)

Use cases

• Automate threat modeling
• Automate design reviews
• Automate security reviews
• Automate privacy assessments
• Automate risk tracking
• Automate compliance
• Product Security
• Third-Party Risk
• AI Governance
• GRC (Governance, Risk, and Compliance) teams
• Audit readiness
• Evidence collection
• DPIAs (Data Protection Impact Assessments)
• AI governance reviews
• Vendor privacy risks evaluation
• Regulatory compliance reviews
• Secure design decisions with in-depth assessments
• Secure code reviews
• Automate AI risk reviews
• Automate privacy impact assessments
• Automate vendor risk assessments

AI approach

Clearly AI uses AI-native intelligence to automate security and privacy reviews, threat modeling, risk tracking, and compliance. It analyzes context, identifies risks, and generates structured findings automatically. The AI is trained on company knowledge, industry standards, internal documentation, security best practices, and regulatory frameworks. It also acts as an AI security consultant (SecureAdvisor) and analyzes code, documentation, and policies to surface security issues early. Clearly AI has Zero-Day Retention agreements with large language model providers like OpenAI and Anthropic, and customers can elect to provide an LLM API key. Customer data is not used to train AI models.

Tech named: LLM, OpenAI, Anthropic, Microsoft Corporation (Azure), Google Cloud Platform, OpenRouter, AWS Bedrock

Industries served

• Automotive and Mobility
• Financial Services
• Energy
• Telecom

What it says sets it apart

• Built by former Amazon security leaders who reviewed hundreds of critical systems
• Customizes to your policies and frameworks
• Delivers consistent, high-quality assessments
• 90% reduction in review completion time
• Real visibility into risk across products, vendors, and systems
• Seamless workflow integration with Jira, GitHub, Confluence, and more
• One platform for every security and privacy workflow
• AI augments, humans decide (human-in-the-loop validation)
• Built-in safeguards against hallucinations
• Enterprise-grade security and controls
• Amazon-scale expertise
• Not a generic AI; learns your standards and frameworks
• Proven impact, fast ROI (e.g., Rivian cut PIA timelines by 90% within weeks)
• Enterprise-ready by design (single-tenant, private cloud, BYOC deployments)
• Zero-Day Retention agreements with large language model providers (OpenAI, Anthropic)
• Customer data is not used to train AI models

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.