Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Regulatory Frameworks Affecting AI and Data Privacy Explained

AI is now embedded in everyday operations across support, finance, healthcare, and the public sector. As models touch more sensitive data, the legal landscape is moving just as quickly. The center of gravity has shifted from annual checklists to continuous compliance in production. This guide explains the regulatory frameworks affecting AI and data privacy in 2025, how they fit together, and how to turn their requirements into practical, repeatable controls your teams can run every day.

Anatomy of a Modern Threat: Deconstructing the Figma MCP Vulnerability

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.

A step-by-step guide to AI security assessments [With a template]

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.

Identity automation in the age of agentic AI with Matthew Chiodi

Defender Fridays - Identity Automation in the Age of Agentic AI with Matthew Chiodi Join us for this session of Defender Fridays as we explore identity automation in the age of agentic AI with Matthew Chiodi, Chief Strategy Officer at Cerby. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

Agentic AI Security: Introducing the AI Firewall/Guardrail

As organizations adopt powerful AI agents for complex B2B workflow automation, securing their actions and ensuring compliance becomes paramount. A10 Networks' security expert, Diptanshu Purwar, explains the foundational need to integrate AI agents into existing governance platforms, which involves utilizing established enterprise security practices, such as role-based access and robust policy management, tailored explicitly for agents.

The Evolution of AI Technology: Shaping a Smarter Digital Era

Artificial Intelligence (AI) has evolved from a futuristic concept to an everyday reality, influencing nearly every corner of our lives. From entertainment to business automation, AI technology has become the backbone of the digital transformation we see today. Tools like Free Unlimited Video Face Swap illustrate how AI can merge creativity and innovation, allowing users to seamlessly blend faces in videos with stunning accuracy. This once-complex task now happens in seconds, showcasing how machine learning and computer vision have revolutionized media production.

Miggo Security Named a Gartner® Cool Vendor in AI Security

Miggo Security, pioneer and innovator in Application Detection & Response (ADR) and AI Runtime Defense, today announced it has been recognized as a Gartner Cool Vendor in AI Security. To us, this recognition underscores Miggo's mission to close the detection-to-mitigation gap that plagues security teams today by providing comprehensive, fast, and precise analysis and response for what applications actually do at runtime.

Future Trends in AI and Data Privacy Regulations for 2025

AI is no longer a pilot project. In 2025 it sits inside support desks, developer tools, clinical workflows, loan underwriting, and public services. The regulatory landscape has shifted from paper policies to real-world evidence in production. Buyers, auditors, and regulators want to see controls in place where data flows and models are operational.