Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI 2026: A Look Ahead

2026, the perfect time to reflect on how far technology has come and what lies ahead. Without a doubt, Artificial intelligence has gone from a niche to an omnipresent force, reshaping how we work, build, and defend. While organisations have speed-ran the adoption of AI and machine learning, cybercriminals have been just as fast to exploit them, and AI now powers business decisions, customer interactions, and – predictably – cyberattacks.

DSPM for AI: Securing Data in the Age of Artificial Intelligence

Organizations across industries are adopting AI at a rapid pace. From utilizing this newer technology to process data and conduct business-critical tasks to individual employees experimenting with Gen-AI to enhance their workflows, artificial intelligence now touches multiple points of an organization's operations.

Advancing MITRE ATLAS AI Security Through Zenity's Contributions

MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally recognized AI security framework that catalogs adversarial techniques targeting artificial intelligence systems. Similar in structure to MITRE ATT&CK but purpose-built for AI, machine learning, and agentic systems, ATLAS translates abstract AI risks into concrete, actionable attack techniques that security teams can monitor and mitigate.

Top 9 AI Security Tools in 2026 [Comprehensive Guide]

AI-generated phishing emails now achieve a 54% click-through rate against just 12% for human-crafted messages. No, that is not a typo! With AI, attackers are now 4.5x more effective at breaching and bleeding your defences. Secondly, phishing attacks have surged by over 1,265% since ChatGPT’s launch in 2022, enabling cybercriminals to launch campaigns at unprecedented scales. The harsh reality?

The MCP Security Blueprint: What a Hardened MCP Server Looks Like

Over the last year, Model Context Protocol (MCP) servers have transitioned from "cool developer experiments" into critical production infrastructure. Developers love them because they allow AI agents to open tickets, query databases, and update records with almost zero integration backlog. But there is a fundamental truth we must acknowledge before moving forward: The AI revolution is actually an API revolution.

Advancing AI Security: Zenity's Contributions to MITRE ATLAS' First 2026 Update

MITRE ATLAS has become a critical resource for cybersecurity leaders navigating the rapidly evolving world of AI-enabled systems.Traditional threat models are built for human-initiated workflows, APIs, and infrastructure, so they are no longer sufficient to describe modern AI attacks..

A New Era for AI Coding? GPT 5.2 vs. Security Vulnerabilities

Can OpenAI’s GPT 5.2 actually build a production-ready, secure application from a single prompt? In this video, we put the latest model to the test by asking it to build a full-stack Node.js note-taking app. We evaluate its dependency choices, dive into a surprising fix for a long-standing CSRF vulnerability, and run a full security audit using Snyk. Is this the new gold standard for AI coding models?

How AI is Re-Building the Cybersecurity Landscape with Max Lamothe-Brassard from LimaCharlie [280]

On this episode of The Cybersecurity Defenders Podcast we're starting the new season off with the hottest topic of 2025: AI. Join an in-depth discussion January 20, 2026 and witness LimaCharlie's fundamentally different approach to AI-powered security operations. Sitting down with Maxime Lamothe-Brassard, Founder and CEO of LimaCharlie, we discuss the ways AI has rapidly changed how companies are building security tools.