ActiveFence Blog

The EU AI Act is the world’s first comprehensive AI law. Enterprises deploying GenAI chatbots and agents must prepare now for compliance. Learn the key requirements, penalties, and how ActiveFence helps you meet them with red teaming, guardrails, and observability.

The 2025 ActiveFence AI Security Benchmark Report compares six models on prompt injection defense. ActiveFence delivers top F1, precision, and multilingual resilience.

ActiveFence partners with Databricks to integrate Guardrails into the Mosaic AI Agent Framework, helping enterprises deploy safer, policy-aligned AI agents at scale.

AI is no longer English-only. Learn how ActiveFence’s multilingual safety solutions, spanning datasets, guardrails, red teaming, and intelligence, keep AI safe, inclusive, and culturally aware in every market.

At Black Hat 2025, agentic AI took center stage, and so did the risks. From fourth-party threats to hybrid red teaming, here’s what I learned about the next wave of AI security.

Discover how to mitigate evolving threats in autonomous AI systems by securing every agent interaction point with proactive defenses.

Enterprises are building GenAI Platform Teams to ensure every product squad can experiment and deploy AI responsibly, without duplicating infrastructure or risking compliance. Learn more about the foundations that make AI innovation possible.

ActiveFence and Reality Defender have teamed up to deliver enterprise-grade protection against deepfake threats. This integration embeds multimodal detection into ActiveFence’s Guardrails product, giving platforms real-time moderation, enforcement, and compliance alignment.

ActiveFence is partnering with OpenPolicy to shape the future of generative AI safety and security policies. Together, we’re bridging the gap between innovation and regulation, ensuring emerging standards reflect real-world challenges and protect users while enabling responsible AI development.

America’s AI Action Plan shifts focus to speed and global competitiveness by rolling back federal safety oversight. Learn the key risks for enterprises, why safety now falls on AI builders, and actionable strategies for red-teaming, observability, and governance.

GenAI-powered app developers face hidden threats in GenAI systems, from data leaks and hallucinations to regulatory fines. This guide explains five key risks lurking in GenAI apps and how to mitigate them.

Discover how ActiveFence Guardrails now provides real-time AI safety with low latency, and no-code controls, in secure, scalable AWS enterprise deployments.

Discover what really keeps CISOs up at night from our very own Guy Stern, who shares frontline insights into GenAI risk in 2025, exposing hidden vulnerabilities, internal misuse, and how enterprise security must adapt.

LLMs with RAG bring powerful personalization, but also new security risks. Explore how ActiveFence’s Red Team uncovered ways attackers can exfiltrate secrets from AI memory.

From deepfake investment scams to AI-generated catfishing, GenAI is making impersonation easier and more dangerous. Explore how impersonation abuse works, real-world examples, and what AI teams can do to protect their systems from being misused.

LLM guardrails are being bypassed through roleplay. Learn how these hacks work and what it means for AI safety. Read the full post now.

See how the RAISE Act aims to stop AI-enabled crises.

Learn how AI systems misbehave when prompted in one of the most dangerous threat areas: high-risk CBRN. Based on ActiveFence’s internal testing of leading LLMs, the results reveal critical safety gaps that demand serious attention from enterprise developers.

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

Live from NVIDIA GTC 2025 in Paris – Discover how ActiveFence is partnering with NVIDIA to embed safety and security into enterprise AI deployments. Learn how this collaboration enables organizations to launch AI teammates that are safe, trusted, and aligned with business values.

Explore the AI Safety Flywheel from ActiveFence and NVIDIA and see how we keep AI safe at scale.

Learn how enterprises can stay ahead of emerging GenAI regulations like the EU AI Act and NIST Framework, with actionable steps for compliance, safety, and responsible deployment.

Prompt injection, memory attacks, and encoded exploits are just the start. Discover the most common GenAI attack vectors and how red teaming helps stop them.

AI misuse isn’t hypothetical – it’s happening now. This blog introduces ActiveFence’s latest guide for operationalizing AI safety and security with six real-world strategies to move from principle to protection.

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

See how easily multiple GenAI models, from LLMs to speech-to-speech, were tricked into divulging malicious code and weapon design instructions.

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?

The Take It Down Act explained: all you need to know about this new federal law targeting AI-generated intimate content, to stay compliant and prepared.

ActiveFence is expanding its partnership with NVIDIA to bring real-time safety to a new generation of AI agents built with NVIDIA’s Enterprise AI Factory and NIM. Together, we now secure not just prompts and outputs, but full agentic workflows across enterprise environments.

Explore why generative AI continues to reflect harmful stereotypes, the real-world risks of biased systems, and how teams can mitigate them with practical tools and strategies.

Innovation without safety can backfire. This blog breaks down how to build GenAI systems that are not only powerful, but also secure, nuanced, and truly responsible. Learn how to move from principles to practice with red-teaming, adaptive guardrails, and real-world safeguards.

See why AI safety teams must apply rigorous testing and training with diverse organic and synthetic datasets.

See why AI safety teams must apply rigorous testing and training with diverse organic and synthetic datasets.

Discover principles followed by the most effective red teaming frameworks.

Learn how ActiveFence red teaming supports Amazon as they launch their newest Nova models.

Explore the primary security risks associated with Agentic AI and strategies for effective mitigation.

Dive into why deep threat expertise on GenAI red teams is increasingly important.

ActiveFence provides cutting-edge AI Content Safety solutions, specifically designed for LLM-powered applications. By integrating with NVIDIA NeMo Guardrails, we’re making AI safety more accessible to businesses of all sizes.

AI-generated misinformation is spreading faster than ever. How can companies handle this threat during world events like the 2024 Paris Olympics?

Over the past year, we’ve learned a lot about GenAI risks, including bad actor tactics, foundation model loopholes, and how their convergence allows harmful content creation and distribution – at scale. Here are the top GenAI risks we are concerned with in 2024.

Create secure Generative AI with this AI Safety By Design framework. It provides four key elements to delivering a safe and reliable Gen AI ecosystem.

Artificial intelligence represents the next great challenge for Trust & Safety teams to wrangle with.

California’s recently passed child safety act places new obligations on online platforms. Here, General Counsel Michal Brand-Gold shares what you need to know.

ActiveFence and INHOPE partner to fight the spread of CSAM online and promote the mental wellbeing of digital first responders.