Gemini 3 Pro Generates 7 Code Security Issues
Gemini 3 Pro Generates 7 Code Security Issues.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
OWASP Agentic AI Top 10: Why It Matters and How Protecto Reduces Real-World Risk
AI agents are rapidly moving from experimentation into production across finance, healthcare, enterprise IT, and critical infrastructure. Unlike traditional applications, agents plan, reason, delegate, and act autonomously across systems and data sources. This expanded autonomy dramatically increases the security blast radius. To address this shift, OWASP released the OWASP Top 10 for Agentic Applications.
Introducing MCP client: use MCP tools with the AI Agent action in Tines
Tines is vendor-agnostic and interoperability is core to our intelligent workflow platform. With each iteration of AI agents in Tines, we’re extending that interoperability. Today, that includes MCP support in the AI Agent action.
The future of AI in Identity Security, with Martin Kuppinger and One Identity CEO Praerit Garg
Join One Identity CEO Praerit Garg and KuppingerCole Founder and Principal Analyst Martin Kuppinger as they discuss the evolution of IAM and thefuture of AI in Identity Security.
INE Highlights Enterprise Shift Toward Hands-On Training Amid Widening Skills Gaps
As AI accelerates job transformation, INE supports organizations reallocating Q4 budgets to experiential, performance-driven upskilling.
It's 2 AM. Do You Know Which AIs Your MCP Server Is Talking To?
When Anthropic dropped the Model Context Protocol (MCP) in late 2024, it felt like the missing puzzle piece for AI tooling: a standard way for Large Language Models (LLMs) to talk to data sources, APIs, and pretty much anything else you can think of. Think of it as a USB-C port for AI, as the protocol’s creators like to say. But like most shiny new standards, the devil’s in the details.
2026 API and AI Security Predictions: What Experts Expect in the Year Ahead
This is a predictions blog. We know, we know; everyone does them, and they can get a bit same-y. Chances are, you’re already bored with reading them. So, we’ve decided to do things a little bit differently this year. Instead of bombarding you with just our own predictions, we’ve decided to cast the net far and wide. We’ve spoken to cybersecurity experts from around the world to answer what’s, for us, the most pressing question of all.
All things AI and malware with Randy Pargman
Join us for this week's Defender Fridays as we explore the reality of AI-powered malware threats with Randy Pargman, Senior Director of Threat Detection at Proofpoint. 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 choose AI security tools that actually reduce false positives
Let’s be honest: if your SOC is drowning in noise, you’re not “doing security.” You’re babysitting tools that cry wolf. And the wolves? They’re doing just fine. Every vendor claims their AI magically cuts false positives. Most don’t. Why?
AI-Native Browsers Demand AI-Native Security: Why Legacy DLP Can't Protect You
In our recent analysis of AI browser exfiltration risks, we exposed how OpenAI's Atlas and Perplexity's Comet create permanent backdoors to sensitive data through persistent memory, autonomous agents, and cross-platform sync. The challenges with AI native browsers strongly resonated with CISO’s and security leaders we speak with on a daily basis. But the threat extends far beyond Atlas and Comet.