Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Best Practices for Protecting Data Privacy in AI Deployment in 2025

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.

9 AI risks that could impact your organization-and how to mitigate them

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.

SquareX Shows AI Browsers Fall Prey to OAuth Attacks, Malware Downloads and Malicious Link Distribution

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.

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.

How To Track Employee AI Usage

Artificial intelligence (AI) is quickly transforming the workplace as we know it. According to a recent Forbes article, many organizations will move from experimenting with Generative AI to making it a fundamental part of their business—transforming essential functions from human resources to customer service and supply chain management. Data analysis that used to take hours can now be done in minutes with ChatGPT.