Alice raises $140M for frontier AI safety and security [Read the news]
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whitepaper

Misleading Models - Testing for Deception

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May 6, 2025
To build safe, trustworthy AI apps, enterprises must understand how and why LLM models may scheme and deceive. In partnership with a major LLM provider, we tested how incentives like self-preservation or user appeasement can drive strategic deception. Download the report to learn more.

Overview

In this report, we cover:
  • How LLMs strategically deceive users
  • Incentives that trigger dishonest behavior
  • Risks of deploying untested models
Download the report to better understand how you can ensure your AI-powered apps are more trustworthy, predictable, and aligned with user and business goals.

What’s new from Alice

Alice Raises $140M to Make Sure AI Does Exactly What It's Supposed to Do

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Aug 25, 2026
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Aug 25, 2026
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Aug 25, 2026
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August 25, 2026

Alice raised $140M led by Apax Digital, bringing total funding to $280M. The AI trust, safety, and security company works with 8 of the 10 top AI labs.

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5 Ways Your Third-Party CX Agent Gets Broken

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Jul 31, 2026
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Jul 31, 2026
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Jul 31, 2026
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July 31, 2026

Third-party CX agents create hidden liability. Learn the 5 attack patterns vendors miss and how WonderSuite closes the gap.

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