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Artificial Intelligence·Data Protection

Aurascape Banks Hefty $50 Million to Mitigate ‘Shadow AI’ Risks

Silicon Valley startup secures big investment from Menlo Ventures and Mayfield Fund to solve the “shadow AI” security problem. The post Aurascape Banks Hefty $50 Million to Mitigate ‘Shadow AI’ Risks appeared first on SecurityWeek.

Silicon Valley startup Aurascape has emerged from a year-long stealth phase with $50 million in funding from Menlo Ventures and Mayfield Fund and ambitious plans to solve the “shadow AI” security problem.

Aurascape said the hefty funding round also included strategic investments from Celesta Capital, former Palo Alto Networks CEO Mark McLaughlin, and Intel’s chief executive Lip-Bu Tan.

Aurascape and its investors are betting on a sizable enterprise market for security tools aimed at mitigating risks from unsanctioned third-party AI applications that slip past traditional security controls. 

The company is promising technology to track interactions across thousands of both approved and unknown AI applications, helping corporate IT teams see who is using AI, what for, and whether those tools are built to protect sensitive data.

The Aurascape platform is capable of tracking interactions and decoding prompt-response data across a wide array of AI apps, including even the less common “long-tail” tools.

The company said the technology is designed to handle various data formats, including text, code, images, videos, and audio and provides data security with minimal false alarms while defending against sophisticated, AI-driven threats.

Aurascape is also marketing features around automated policies and remediation, noting that its platform can automatically monitor interactions and block unsafe actions. 

This extends to managing safe AI deployments, such as ensuring AI copilots only access approved data during corporate indexing, 

Aurascape argues that traditional solutions like firewalls, proxies, and Secure Access Service Edge (SASE) tools can’t keep up with the dynamic way AI applications communicate. This leaves organizations with significant blind spots regarding AI activity and data exposure. 

Related: How to Eliminate “Shadow AI” in Software Development 

Related: Beware Of Shadow AI – Shadow IT’s Less Well-Known Brother

Related: Shadow AI – Should I be Worried?

Related: Aim Security Raises $10M to Tackle Shadow AI

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