OpenAI, the people behind ChatGPT, have launched an updated AI video- and audio-generation system with fascinating, and terrifying, implications for the spread of deepfakes.
The conversation about AI in cybersecurity is missing the point. While the industry has been focused on the emergence of AI-generated phishing emails, perhaps a far more profound shift has been somewhat ignored. Your workforce is no longer just human. It's a hybrid team of people, AI agents, copilots, assistants and digital partners. This creates a new and complex attack surface. The next great security challenge isn't just protecting a human from a machine.
AI is no longer a side project. It now powers support desks, analytics, knowledge search, decision support, and developer tooling. That reach makes data privacy a daily engineering task, not an annual policy exercise. Teams that succeed treat privacy like performance or reliability: they design for it, measure it, and improve it with each release. This guide captures Best Practices for Protecting Data Privacy in AI Deployment that work across industries.
As AI becomes more user-friendly and performance-focused, organizations are increasingly adopting it into their systems to streamline elaborate workflows. However, the rapid pace of adoption means that teams often implement AI models before fully mapping the security and compliance implications that they bring. According to Vanta’s State of Trust Report, more than 50% of organizations view AI risks as a growing concern today.
Security teams are in an AI arms race — facing massive data volumes, insider threats, and adversaries using AI to find vulnerabilities and launch faster, smarter attacks. Exabeam changes the game with Exabeam Nova, the first autonomous multi-agent AI purpose-built for security operations. Fully embedded within the New-Scale Security Operations Platform, Exabeam Nova delivers measurable outcomes across threat detection, investigation, and response.
As AI Browsers rapidly gain adoption across enterprises, SquareX has released critical security research exposing major vulnerabilities that could allow attackers to exploit AI Browsers to exfiltrate sensitive data, distribute malware and gain unauthorized access to enterprise SaaS apps. The timing of this disclosure is particularly significant as major companies including OpenAI, Microsoft, Google and The Browser Company have announced or released their own AI browsers. With Chrome and Edge alone representing 70% of the browser market share, it is very likely that the majority of consumer browsers in the future will be AI Browsers.
Threat researchers recently disclosed a severe vulnerability in a Figma Model Context Protocol (MCP) server, as reported by The Hacker News. While the specific patch is important, the discovery itself serves as a critical wake-up call for every organization rushing to adopt AI. This incident provides a blueprint for a new class of attacks that target the very infrastructure powering the AI Agent Economy. To understand the risk, we must first look at the mechanics of this emerging threat.
As artificial intelligence becomes deeply integrated into business operations, organizations have started feeling the pressure to keep up. According to Vanta’s 2025 survey, more than 50% of the organizations report being overwhelmed by the speed of AI adoption and growing compliance obligations. This issue is aggravated by the fact that AI tools evolve faster than governance policies can adapt, potentially leaving complex gaps for security teams to fill.