Perspectives

Most enterprise AI red teaming programs are built for controlled environments, not the realities of production. As attack methods evolve and models drift, static testing leaves critical gaps. This piece breaks down why continuous, lifecycle-wide red teaming is required to catch what traditional approaches miss.

John Oliver's viral chatbot segment sparked millions of reactions. We analyzed 5,328 YouTube comments to uncover what AI anxiety really looks like and why guardrails matter.

WonderFence integrates with Microsoft Copilot Studio to secure AI agents with customizable policies, real-time monitoring, and guardrails that block prompt injection, data leaks, and compliance risks.

If you work in GRC and you've ever felt like the ground keeps moving faster than you can document it, this one is for you. David Wendt, Manager of Innovation and AI Governance at Sherwin-Williams, draws one of the most unexpectedly useful analogies we've heard on Curiouser & Curiouser yet, and it involves Dungeons and Dragons.

Thousands of abliterated LLMs have flooded open-source platforms with millions of downloads. These models comply with virtually any request, from bomb-making to malware, and run fully offline on consumer devices.

Learn how to use Strands Agent hooks to enforce safety and security policies with Alice WonderFence in production-oriented agent workflows.

Our researchers found that creating and exfiltrating API keys from providers like Anthropic, OpenAI, and AWS requires nothing more than JavaScript. No extra permissions. No user interaction. Here's what that looks like in practice.

Explore the 7 subtle “sins” of agentic AI—behavioral patterns that quietly introduce risk. Learn how autonomy can drift and how to keep systems aligned.

Most AI governance conversations sound like they were written by a compliance team. This one doesn't.