Perspectives

The EU has formally sanctioned key players behind Russia’s coordinated disinformation ecosystem. These campaigns, long monitored by ActiveFence, reveal a complex strategy built on narrative laundering, infrastructure resilience, and long-term influence.

GenAI systems introduce a new and rapidly evolving attack surface. This taxonomy outlines the most common GenAI attack vectors; from prompt injection to multimodal evasion; and how enterprises can detect and defend against them.

The AI security risks that appear when models reach production, from prompt injection to model drift, and the controls teams need before launch, at runtime, and after.

As GenAI adoption accelerates, many organizations lack operational safeguards. This article previews Alice’s guide on turning AI safety principles into practical protections through policies, adversarial testing, and red teaming.

How to evaluate AI security software for GenAI apps, models, and agents: the tool categories, lifecycle coverage, and what to ask vendors before you buy.

The ten security risks that appear when generative AI connects to users, data, tools, and workflows, plus the controls that catch each before launch and in production.

Threat actors are exploiting GenAI in the wild. Learn why true AI security must extend beyond infrastructure to detect and prevent real-world misuse.

A macaronic, rhyme-based jailbreak bypassed GenAI guardrails by exploiting roleplay and stylistic flexibility. This case shows how creative prompts can evade static defensesת and why dynamic testing and protection are critical.

A federal judge has ruled that AI-generated content is not protected under free speech laws, expanding legal exposure across the AI ecosystem. What does it mean for AI platforms, infrastructure providers, and the future of GenAI safety?