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How Alice Helped a Leading Digital Health Platform Deploy HIPAA-Compliant AI Guardrails for Clinical Use

How Alice Helped a Leading Digital Health Platform Deploy HIPAA-Compliant AI Guardrails for Clinical Use
A leading digital health platform partnered with Alice to deploy HIPAA-compliant AI guardrails for a physician-facing clinical consultation tool. Alice delivered a segmented enforcement architecture that reduced false positives from 4% to 0.6%, expanded adversarial prompt coverage by 96%, and maintained sub-99ms latency for active clinical workflows.
How Alice Enabled a Global Investment Management Firm to Launch a Compliant Customer-Facing AI App
A Fortune 100 investment management firm partnered with Alice to red team a customer-facing AI investment assistant before launch. Alice identified critical gaps in existing guardrails, then built five custom policy enforcement models within 48 hours. The deployment achieved sub-99ms latency, false positives under 1%, and production-ready compliance for millions of investors.

Building Safer AI Products Through Proactive Red Teaming

Discover how Lovable partnered with Alice to proactively strengthen AI safety through expert-led red teaming, surfacing real-world risks, supporting Trust & Safety teams, and helping shape responsible platform rules as AI continues to evolve.
Validating Foundation Model Safety for Responsible Deployment

To help validate its most advanced model to date, Amazon partnered with Alice to red-team Nova Premier against high-risk prompts. The results positioned Nova as safer than its competitors, marking a major step toward secure enterprise deployment.
Scaling Safety for Text-to-Image Generation Through Red Teaming

Discover how Black Forest Labs scaled safety for one of the world’s top image generation models by embedding Alice's expert red teaming into its release cycle, surfacing vulnerabilities, guiding mitigation, and keeping launches on track.

Strengthening Model Safety with Advanced, Multilingual Red Teaming

Cohere partnered with Alice to enhance safety for its generative AI models. Using targeted threat data feeds and proactive red teaming, Cohere reduced time to mitigation by 38%, improving reliability and accelerating safe releases.

Providing Confidence for Safe, On-Time Release of an In-Game, AI-Powered NPC
How a top-tier game studio used Alice’s AI Red Teaming solution to pressure-test its GenAI-powered NPC - surfacing critical safety risks and hardening its system before launch.
Building Secure and Engaging AR Experiences

Niantic partners with Alice to ensure safe, secure interactions across immersive and real-world experiences. Backed by threat intelligence, we help them create engaging environments where users can explore and connect with confidence.

Lifesaving Support for LGBTQ Youth

The Trevor Project, the leading suicide prevention organization for LGBTQ youth, partnered with Alice to proactively safeguard its 24/7 crisis services. By reducing reliance on user reports and automating moderation with threat-informed insights, they create safer spaces for those who need it.

“Alice is one of our main streams of data that we use for safety evaluation. It's especially important for threat actor evaluation because of the domain expertise.”
Trusted by security and product teams in the world's most regulated industries
Alice brings years of adversarial intelligence expertise to AI security. We give enterprise teams the coverage that generic guardrails and one-time audits can't match.
Get a demoWhat’s New from Alice
Curiouser Soundbites: The AI Risk Debt Your Enterprise Is Already Carrying
Chances are your enterprise AI is moving a lot faster than your visibility into it and Alison Cossette has a lot to say about that. She joined Mo on Curiouser & Curiouser to get into the risk debt that's quietly building inside agentic systems, why observability and traceability aren't optional anymore, and what leaders actually need to do about it.
The Problem With AI Observability Nobody Wants To Admit
Most enterprises have guardrails. Far fewer have visibility into what their AI is actually doing. Alison Cossette, Founder and CEO of ClariTrace, joins Mo to talk about the risk debt quietly building inside agentic systems, why observability and traceability aren't optional anymore, and what leaders need to put in place before something forces their hand.
Distilling LLMs into Efficient Transformers for Real-World AI
This technical webinar explores how we distilled the world knowledge of a large language model into a compact, high-performing transformer—balancing safety, latency, and scale. Learn how we combine LLM-based annotations and weight distillation to power real-world AI safety.
Beneath the Surface: The Growing Ecosystem of AI Nudification
Alice analyzed 100 AI nudification websites to uncover how synthetic NCII ecosystems scale through frictionless onboarding, affiliate monetization, and cross-platform distribution.
