Legit Security vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Legit Security

EmergingCybersecurity

Application Security Posture

Legit Security secures the software supply chain by providing visibility and governance across development pipelines, repositories, and CI/CD systems.

About

Legit Security is an application security company founded in 2020 by Israeli security veterans, providing a platform to secure software development environments and supply chains. The platform discovers and maps all development assets including repositories, CI/CD pipelines, build tools, and developer accounts, then continuously monitors for security misconfigurations, leaked secrets, and policy violations that could expose the software development process to attack. Legit Security uses a graph-based model to visualize the relationships between development components and trace how a vulnerability in one tool could propagate through the pipeline. The company integrates with major source control platforms, CI/CD systems, and artifact repositories to provide comprehensive coverage without requiring additional tooling deployment. Legit Security serves enterprise security and DevSecOps teams that need visibility and governance over increasingly complex software development ecosystems. The platform has gained traction among large technology companies and regulated industries building software at scale.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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