Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When Seeing Isn't Believing: AI Images, Breaking News and the New Misinformation Playbook

In the early hours following reports of a U.S. military operation involving Venezuela, social media feeds were flooded with dramatic images and videos that appeared to show the capture of Venezuelan president Nicolás Maduro. Within minutes, AI-generated photos of Maduro being escorted by U.S. law enforcement, scenes of missiles striking Caracas, and crowds celebrating in the streets racked up millions of views across various social media channels. The problem?

AI-Enabled Cyber Intrusions: What Two Recent Incidents Reveal for Corporate Counsel

This article was authored by Daniel Ilan, Rahul Mukhi, Prudence Buckland, and Melissa Faragasso from Cleary Gottlieb, and Brian Lichter and Elijah Seymour from Stroz Friedberg, a LevelBlue company. Recent disclosures by Anthropic and OpenAI highlight a pivotal shift in the cyber threat landscape: AI is no longer merely a tool that aids attackers, in some cases, it has become the attacker itself.

Why AI security looks different across the UK, France, Germany, and Australia

Globally, 88% of companies regularly use AI in at least one business function—a 10% increase from the previous year. But as organizations race to adopt new capabilities, we’ve found that the rigor and maturity of AI governance vary widely by region. ‍ The third edition of our State of Trust report reveals how leading AI adopters outside the U.S.—from the UK to Germany, France, and Australia—are approaching AI security and governance in distinct ways.

AI Customer Service: Revolutionizing Customer Experiences

In today's fast-paced business world, providing exceptional customer support is no longer just a competitive advantage-it's a necessity. Companies increasingly turn to AI customer service solutions to meet rising customer expectations while optimizing operational efficiency. At Mindy Support, we specialize in combining cutting-edge artificial intelligence with human expertise to deliver seamless customer interactions. Our AI-driven tools enable businesses to handle inquiries promptly, provide personalized assistance, and maintain consistent quality across all communication channels.
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Same Mission, Different Mindsets: CISOs and Incident Response Leaders in the Age of AI and Automation

When you work in cybersecurity, whether you're steering the operational team, or in a more strategic role, the mission is the same: protect the business. But when it comes to executing that mission, finding consensus on the best approach can be hard. At this pivotal point in the evolution of cybersecurity, as automation becomes table stakes and AI adoption accelerates, it is important that stakeholders are pulling in the same direction. However, recent ThreatQuotient research highlights real differences in how CISOs and Heads of IR approach the introduction of AI into cybersecurity strategy and practice.

CrowdStrike's Journey in Customizing NVIDIA Nemotron Models for Peak Accuracy and Performance

Today’s security teams need AI models that can reason over massive telemetry and support autonomous actions. At CrowdStrike, we're working closely with NVIDIA to operationalize NVIDIA Nemotron open models1, building on our existing integration of Nemotron on Amazon Bedrock within the CrowdStrike Falcon platform. This collaboration enables us to rigorously test and adapt large language models (LLMs) for security-specific workloads while maintaining production-grade performance and security.

How the Model Context Protocol Is Redefining Zero Trust for AI Agents

As Artificial Intelligence (AI) agents become more autonomous by accessing critical systems and acting without real-time human oversight, they are evolving from productivity tools into active Non-Human Identities (NHIs) like service accounts or API keys that require the same oversight and controls as human users. This shift expands organizational attack surfaces, introducing new security risks related to overprivileged access and lateral movement of NHIs across cloud infrastructure.

Unlocking AI Data Security: Strategic Solutions

AI systems are no longer experimental. They sit at the center of product experiences, internal workflows, and customer-facing automation. As soon as an AI feature ships, it starts handling real data. Customer messages. Internal documents. Support tickets. Logs. Training samples. That’s when AI data security stops being an abstract concern and becomes a product requirement.