Autonomous Security

Herramientas de seguridad y cumplimiento normativo en la nube

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This extensive security platform provides real-time enforcement and governance for AI agents, MCP servers, and coding assistants across multiple endpoints and operating systems, ensuring safe and compliant AI interactions. Its main features include agent discovery, exposure analysis, risk assessment, runtime behavior control, threat prevention, secure MCP cloud deployment, sandboxing, token vaulting, supply chain security, centralized policy management, and enterprise integration, addressing challenges such as ungoverned agent actions, credential sprawl, unvisibility of agent activities, unsafe runtime operations, prompt injections, and supply chain threats. It is designed for security teams, IT administrators, and organizations deploying AI and MCP-based tools, empowering them to mitigate security risks, enforce policies, maintain visibility, and safeguard sensitive data in environments with.

Autonomous Security se puede encontrar en Cloud Security & Compliance Tools categorías.

Los productos más similares a Autonomous Security son:

Pristan Perfil verificado Promocionado → BlueRock → Akto → Zenity → HiddenLayer →

Capturas de pantalla

Detalles

Características principales de Autonomous Security

• Policies
  It creates rules for what AI agents can do and enforces them.
• Safe Run
  It automates approvals for risky commands or prompts based on security rules.
• Sandboxing
  It runs AI operations in isolated areas to stay safe.
• MCP Gateway
  It stops bad prompts and traffic to protect systems.
• Token Vault
  It stores sensitive credentials securely in one place.
• AI Inventory
  It helps find and list all installed AI agents, skills, and plugins.
• Risk Assessment
  It reports on security risks from AI agent actions.
• Secure MCP Cloud
  It moves data and servers into a safe, private cloud.
• Exposure Analysis
  It finds exposed secrets and unsafe configurations quickly.
• Threat Prevention
  It automatically blocks malicious agents, tools, or skills.
• Runtime Enforcement
  It blocks or controls unsafe AI actions in real-time.
• Supply Chain Security
  It checks and verifies all AI tools and updates before using them.
• Enterprise Integration
  It connects with tools like SSO, SIEM, and meets enterprise security needs.
• Agent Activity Visibility
  It shows what AI agents are doing on all computers and systems.
• Cross Platform Deployment
  It allows agents to work on Windows, Mac, and Linux computers.
• Centralized Control and Governance
  It manages policies, identities, and monitors all AI activities.
• Real-Time Enforcement and Governance
  It controls and enforces AI actions on endpoints as they happen to keep systems safe.

Insignias

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Tecnologías utilizadas

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