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Aurascape

Secure AI across your entire organization.

Security· 4.5·0 saves·Freemium

Quick facts

Best for
Secure AI across your entire organization.
Pricing
Freemium
Editor rating
4.5 / 5
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0

About Aurascape

Aurascape is an artificial intelligence (AI) security platform designed to assist enterprises gain real-time visibility and intent-based control over every AI interaction. This platform aims to secure the use and build of AI applications without inhibiting innovation. It provides security for employee AI usage across various channels such as applications, browsers, copilots, and agents, allowing teams to innovate while protecting sensitive data. Aurascape offers safeguards for secure AI adoption by offering real-time visibility, policy enforcement, as well as data protection. The platform also facilitates the secure build and operation of AI agents and applications by imbuing controls that protect data, govern behaviour, and strengthen security throughout the AI lifecycle - from development to runtime. This approach reduces risk and enhances productivity in AI agent development for organizations. Aurascape goes beyond traditional security blindspots by detecting every AI application and agent in use, even when embedded inside SaaS applications. It is equipped with the capability to detect sensitive information flowing through AI tools in real-time and apply contextual, intent-based controls to prevent leakage or misuse. Furthermore, Aurascape is designed to secure AI agents from the first line of code to the production runtime, providing full visibility, adversarial testing, and continuous governance across each tool call and model interaction. It automatically discovers and understands the full context of thousands of applications, using real-time, intelligent and dynamic data categorization and threat inspection for precision security required by AI applications and agents. In terms of operations, it offers natural-language summaries, alerts, and user coaching. Notably, Aurascape also secures the entire AI agent lifecycle from pre-build testing to runtime enforcement, and it has proven reliable for security teams advancing into the AI era. Supported featuresCybersecurity

Pros

  • Real-time visibility
  • Intent-based control
  • Policy enforcement feature
  • Capable of data protection
  • Data leakage prevention
  • Prevents data misuse
  • In-built continuous governance
  • Uncovers embedded Saa
  • S applications
  • Real-time sensitive information detection
  • Contextual control application
  • Adversarial testing provision

Cons

  • Lacks broader cybersecurity measures
  • No offline functionality mentioned
  • May not support all Saa
  • SNo explicit third-party integrations
  • Unspecified user interface experience
  • No mention of scalability
  • Requires continuous connectivity
  • Maintenance downtime not addressed
  • Pricing structure not mentioned

Pricing

Pricing model
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