Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Zenity Joins the Microsoft Security Store: Securing AI Agents Everywhere, Together

We’re thrilled to share that Zenity is included in the unveiling of the Microsoft Security Store Partner Ecosystem. The Security Store is a new marketplace offering from Microsoft that brings together trusted, curated security solutions and AI agents to help organizations navigate the evolving landscape of cybersecurity in the age of AI. The Microsoft Security Store is a strategic leap forward in how security teams discover, deploy, and operationalize technologies that protect their environments.

Beyond Traditional AppSec: Navigating the New Frontier of AI Security with Mend AI

Hear from Bar-El Tayouri, Head of Mend AI, about the urgent need for a new approach to securing AI-driven applications. From understanding novel AI components and their risks to implementing a comprehensive AppSec program, this episode provides actionable insights for organizations building with AI.

How a Digital Bank Reduced Shadow AI Risk by 80% - Without Blocking Innovation

When a fast-scaling digital bank began seeing widespread employee adoption of generative AI tools like ChatGPT and Gemini, their security team faced a growing dilemma: how do you protect sensitive data without shutting down innovation?

Empowering Safe GenAI Adoption at a 3,600-Employee Fintech - And Stopping 20+ Data Leaks a Day

Despite having modern DLP and CASB tools in place, they lacked the behavioural insights and real-time context needed to guide employee use of GenAI tools. Shadow AI use was growing, and SecOps lacked clear visibility into which incidents required intervention.

What is Agent2Agent (A2A) Protocol and How to Adopt it?

Imagine autonomous agents negotiating and acting on your behalf—no manual hand-offs, just an efficient, policy‑driven communication. That’s the promise of Google’s Agent2Agent (A2A) Protocol, unveiled at Google Cloud Next in April 2025. Developed with input from over 50 partners, A2A is now open-sourced under the Apache 2.0 license and governed by the Linux Foundation.

Building Trust in AI: KnowBe4's Journey Toward ISO 42001 Certification

At KnowBe4, everything we do is built on a foundation of innovation and trust. As we bring more artificial intelligence (AI) into our human risk management platform, we believe it’s essential to be transparent and responsible every step of the way. That's why we're proud to announce that we are pursuing ISO 42001 certification, the world's first standard for managing AI systems.

When AI agents become admins: Rethinking privileged access in the age of AI

From resetting passwords and approving workflows to pulling HR data and orchestrating cloud infrastructure, AI agents now perform tasks that previously required a human with privileged access. AI has moved beyond the realm of passive chatbots into autonomous, persistent operations, performing work on behalf of an individual or entity. Like it or not, that makes AI agents a new part of your workforce. They hold credentials, trigger workflows, and make their own decisions.

CrowdStrike's Fall 2025 Release Defines the Agentic SOC and Secures the AI Era

We are living through the fourth industrial revolution: the age of AI. Just as with the steam, electricity, and the digital revolutions that preceded it, this leap forward requires a parallel leap in security. AI is transforming how businesses operate and how adversaries attack. They are moving at machine speed, compressing the defender’s response window from weeks to mere seconds.

AI security: A comprehensive guide for evolving teams

The AI boom has introduced intelligent tools into most industries, not just in tech-first organizations. But the rising adoption also opens the door to new risks. ‍ Vanta’s AI governance survey found that 63% of organizations rate data privacy and protection as the top concern with AI, followed by security and adversarial threats at 50%. These numbers emphasize how urgently organizations want to prioritize defenses for AI-specific attack vectors.

AI Code Review in 2025: Technologies, Challenges & Best Practices

AI code review leverages artificial intelligence models and machine learning techniques to analyze and provide feedback on source code, automating and improving the traditional code review process. It is crucial for software development workflows, offering significant advantages to developers and teams. AI code review can scan for bugs, style violations, security vulnerabilities, and other issues.