Company Profile
Founded in 2024, Clearly AI is a company focused on automating enterprise security and privacy audits, headquartered in Seattle, Washington, USA.
The company was co-founded by Emily Choi-Greene and Joe Choi-Greene, and the core team has deep practical and technical accumulation: CEO Emily worked at Amazon for 5 years, leading the Alexa AI security department and leading hundreds of security and privacy review projects covering core scenarios such as AI data life cycle and machine learning computing platform; CTO Joe is also from Amazon. As a senior software engineer, he has led the satellite telemetry team of the Kuiper Project and built the Alexa byte-level data lake. He has rich experience in large-scale data processing and system architecture [1].
The Clearly AI team has witnessed the hindrance of traditional manual review models to corporate innovation and the various security risks caused by them. Based on front-line practical experience, the team has established the core mission of “automating security and privacy assessments, reducing work backlogs, and improving transparency without sacrificing trust” [2], and is committed to reconstructing the enterprise R&D security review system with AI technology.
Clearly AI’s product capabilities have been recognized by many leading companies in the world. Its cooperative customers include well-known companies such as ERICSSON, HID Global, Rivian, GEICO, Webflow, etc., covering manufacturing, automobiles, finance, technology and other fields, becoming an important partner for corporate R&D security and privacy governance. With its innovative technical solutions and implementation effects, Clearly AI has successfully been shortlisted in the top ten of RSAC Innovation Sandbox 2026, becoming a core focus of the AI security track.
Product Background
In the digital era, the process of enterprise digital transformation is accelerating, and the iteration speed and product delivery efficiency of the R&D team are continuously improving. However, the working mode of the security team remains at the traditional manual stage. The contradiction between R&D acceleration and safety assurance has become increasingly prominent, forming a clear gap in capabilities and efficiency, which has become an important obstacle to the innovative development of enterprises, as shown below: The coverage of manual security review is low, and high-risk security issues are often missed. For example, key issues such as personal identity information (PII) exposed in application logs, lack of throttling mechanism, unsafe token storage, and unclear authentication process are difficult to fully identify; The manual review of a single link takes 3-6 hours to complete, and the full process review even takes 2-4 weeks.
Faced with these common problems in the industry, Clearly AI has achieved efficient and extensive review through automated information collection, achieving simultaneous improvement of security capabilities and R&D speed:
1) Review coverage:
The improvement in review coverage is one of the most significant value manifestations of Clearly AI. In the traditional model, due to the rigid constraints of human resources, the security team can usually only conduct in-depth reviews of about 10% of the released functions, and the remaining 90% of the functions enter the production environment without professional security assessments. Clearly AI increases the review coverage to 100% through automation, which means that every function and every code change can receive a consistent safety assessment, fundamentally eliminating security blind spots.
2) Completion time:
The time it takes to complete a single review has been reduced from hours to less than 15 minutes, representing more than 90% of the time efficiency improvement. The immediate impact of this breakthrough is an order of magnitude increase in the security team’s daily processing power-experts who could only complete 1-2 reviews a day can now oversee dozens of AI-assisted reviews and focus on complex cases that require human judgment.
3) Waiting period:
The review waiting period is shortened from 2-4 weeks to 1 day, eliminating the status of security review as a bottleneck for product delivery, quickly expanding processing capacity during peak periods, and avoiding queue backlogs.
Product Introduction
With the core goal of “replacing manual review and spreadsheet chaos with structured, policy-compliant assessments”, Clearly AI provides a platform for every security and privacy workflow and covers all stages of SDLC to help companies reduce R&D delays, detect risks earlier, and launch products online. The platform covers scenarios such as product security, privacy governance, third-party risks, and AI governance, providing customized capability support for different teams.
Application scenarios
Clearly AI’s product capabilities deeply adapt to the work needs of the three core teams of enterprise security, privacy, and compliance governance, and solve the core problems of each team in a targeted manner:
The security team is responsible for protecting products and infrastructure without slowing down development. But manual review, scattered workflows and lengthy backlogs often cause bottlenecks. Clearly AI can accelerate threat modeling, design review and supplier risk assessment, automatically generate threat models based on product descriptions, identify potential attackers, attack vectors and security controls, and output structured threat assessment reports. Through automated safety audits, the team can focus and proactively reduce risks.
Privacy teams often have limited resources to deal with the increasing regulatory requirements such as privacy impact assessments (PIAs), data protection impact assessments (DPIAs) and artificial intelligence governance assessments. Clearly AI can reduce review time by up to 90%, generate regulatory-compliant assessment documents in minutes, and eliminate the need to repeatedly collect information from R&D teams. The platform has built-in multi-regional regulatory framework adaptation capabilities, which can automatically benchmark compliance requirements such as GDPR and CCPA, significantly improve compliance efficiency without significantly increasing the team’s burden, and effectively reduce the compliance workload of the privacy team.
The compliance governance team is responsible for maintaining compliance across multiple frameworks, including ISO, NIST, PCI-DSS, NYDFS, etc., while proactively managing risk. Clearly AI automates the generation of structured compliance documents, reduces audit preparation time, and improves visibility into enterprise risks.
Workflow
Clearly, AI’s workflow follows the logic of “connection-importation-automatic evaluation-manual review” to ensure a balance between efficiency and accuracy [4]. First, through native integration capabilities, the company’s existing R&D, collaboration and document tools are connected to achieve automatic data synchronization. Clearly AI can automatically recommend the required evaluation; Then upload the internal policies, safety standards and compliance requirements of the enterprise, and the platform forms an exclusive evaluation system through learning; Then automatically conduct a comprehensive assessment of new features, new products or suppliers, covering threat modeling, privacy assessment, compliance audit and other links, and generate structured reports and rectification suggestions; Finally, the security or related teams prioritize and make final decisions on the automated assessment results. AI assists in completing repetitive tasks, and human experts focus on complex risk analysis to achieve optimal configuration of human-machine collaboration.
Core Functions
Clearly AI is a cloud-based, AI-native platform that transforms the tedious process of security, privacy and governance compliance assessment into a fast and structured workflow. The team only needs to upload code, architecture diagrams or policy documents, and get reports prepared by regulatory agencies in a few clicks. Focusing on the actual working scenarios of enterprises, Clearly AI has built several core functions, taking into account automation, Customization and integration, without changing the team’s existing working habits, can achieve rapid implementation of security capabilities:
1) Full-scenario automated review, covering the entire R&D process:
The platform supports automatic triggering and analysis of security and privacy reviews, which can automatically trigger AI-driven review processes from daily work scenarios such as Jira work orders, GitHub code pull requests, and document updates. Through intelligent analysis of business context, code, architecture documents and other contents, potential security risks are automatically identified, and structured and directly implementable review results are generated without manual sorting, so that the review work can be changed from “passive response” to “active trigger”.
2) SecureAdvisor intelligent security consultant, real-time Q&A:
Built-in exclusive AI security consultant module SecureAdvisor, based on the internal knowledge system of the enterprise and the industry’s common security standards to complete in-depth training, can serve as the team’s “portable security expert”. Security and development teams can initiate security consultation at any time, quickly obtain targeted answers that fit the enterprise’s business scenarios and comply with the company’s security policies, without waiting for full-time security engineers to support them, solving the pain points of “difficult consultation and slow response” in security issues during the R&D process.
3) Shift to the left (SHIFT-LEFT SECURITY), intercept production risks in advance
The core realizes risk identification in the early stage of the development process, deeply analyzes code, product documents, enterprise security policies and other materials through AI technology, and actively discovers security risks during the R&D design and coding stages, rather than waiting until the testing or production stage to investigate. Provide security guidance with business context and implementable risk disposal solutions for the R&D team, so that high-risk issues can be completely resolved before going online, greatly reducing the cost of later repairs.
4) Unified risk management, full life cycle tracking and visualization:
Build a centralized risk registration and threat database, all risks found by AI review will be automatically stored, classified and mapped, and tracked across projects. Enterprises can view the person responsible for risk attribution, rectification progress, and long-term risk change trends in real time, realizing the full life cycle management of risks from “discovery-allocation-rectification-closed loop”, allowing security teams to have a clear understanding of the overall risk situation of the enterprise at a glance and improving the efficiency of risk control.
5) Deeply integrate enterprise and industry knowledge to output personalized compliance results:
The platform’s AI capabilities are based on the dual empowerment of internal enterprise knowledge + industry common standards. It can access internal enterprise security policies, compliance systems, operating specifications and other documents, while integrating global security best practices and mainstream regulatory compliance frameworks (such as GDPR, EU, CRA, etc.). Make the review suggestions, compliance documents, and risk plans output by AI fully fit the actual workflow of the enterprise, rather than general content, to ensure that all output results meet the internal requirements of the enterprise and industry regulatory standards.
Product Features
1) Full-scenario integrated security and privacy governance capability: Clearly AI is not limited to single code detection or questionnaire automation, but takes end-to-end security and privacy review as the core, covering four core scenarios of product security, privacy governance, third-party risk, and AI governance, forming a full-process enterprise security governance platform to meet the overall security needs of enterprises from R&D to compliance.
2) Natively embedded in the R&D process: The product is deeply integrated into the full life cycle of SDLC, and the review can be automatically triggered without modifying the existing R&D tool chain. Risks are discovered and intercepted in advance at the design and coding stages, truly achieving the simultaneous improvement of security and R&D efficiency, and eliminating the problem that security review has become a bottleneck for product delivery from the root.
3) Multi-team collaboration: The platform provides exclusive capability support for the security team, privacy team, and governance compliance team at the same time. It can automatically generate key outputs such as threat models, privacy impact assessment reports, and compliance audit materials, greatly reducing repeated communication and work among multiple departments, and realizing a set of platforms to support enterprise global governance.
4) Enterprise-level customized compliance output: Combining the internal policies of the enterprise with global mainstream regulatory frameworks such as GDPR, CCPA, NIST, ISO, etc., it automatically generates customized assessment results that are in line with the actual situation of the enterprise and can be directly used for auditing, rather than general template content, which is more adaptable to the regulatory requirements of different industries and regions.
5) Human-machine collaborative reliable review system: AI is used to be responsible for standardization and repetitive assessment work, and manual focus on complex risk judgment and final decision-making. With the anti-AI illusion mechanism and manual review process, while ensuring efficiency, it maintains enterprise-level safety and reliability, which is suitable for long-term use in large-scale production environments.
Product Comparison
To understand where Clearly AI is positioned, it can be compared to two similar competitors in the field of AI-driven application security, ZeroPath and Fig Security. Although all three are at the intersection of artificial intelligence and application security, they differ in core focus, main methods, etc. This comparative perspective helps to clarify Clearly AI’s strategic priorities and its relative advantages in a competitive and rapidly changing security environment [2].
| Features/Indicators | Clearly AI | ZeroPath | Fig Security |
|---|---|---|---|
| Core focus | End-to-end security and privacy review automation | AI Native SAST-Code Vulnerability Detection and Automatic Fixing | Security Questionnaire and Compliance Automation |
| Main Methods | Threat modeling based on STRIDE + organization-specific contextual information intake | Large Language Model-Driven Static Analysis + Deep Program Analysis | AI-driven Security Questionnaire Response |
| Key Differences | Full context system reasoning (code + documentation + strategy); review time reduced by more than 90% | Business logic defect detection; 75% fewer false positives than traditional SAST | Simplified Supplier Safety Assessment |
| Autonomy | Automated threat model, data flow diagram, remediation workflow | One-click patch automatic repair merge request | Automated questionnaire filling |
Summary
In the context of accelerating enterprise R&D iterations, traditional manual safety review models are no longer suitable for industry needs, and AI-driven R&D safety automation has become an inevitable trend in industry development. Clearly AI relies on its front-line security engineering practice experience to accurately hit the core contradiction between R&D security and efficiency. With “automation, customization, and integration” product capabilities, it has created a one-stop security and privacy governance platform, realizing the full process automation of threat modeling, design review, privacy assessment, and compliance audit.
From the perspective of technology implementation, Clearly AI is not a simple tool replacement, but an AI-empowered human and human-machine collaborative governance. Through AI to complete repetitive and standardized review work, security engineers can focus on high-value strategy formulation, complex risk analysis and other tasks to achieve the optimal allocation of human resources. Its products not only solve the current R&D safety pain points of enterprises, but also adapt to the increasingly stringent global compliance supervision trend, building a solid security line for enterprise digital innovation. Being shortlisted for the 2026 RSAC Innovation Sandbox is not only a recognition of Clearly AI’s innovative technology, but also confirms the great application value of AI in R&D security.
References
[1] https://www.ycombinator.com/companies/clearly-ai
[2] https://clearly-ai.com/about-us
[3] https://technotrenz.com/news/clearly-ai-bags-8-4m-seed/
[4] https://clearly-ai.com/blog/how-to-automate-security-and-privacy-reviews-with- clearly-ai
