Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Falcon for IT: Accelerating AI Discovery & Governance

Jun 1, 2026 By CrowdStrike In CrowdStrike
As AI adoption accelerates, so does shadow AI. Without a complete inventory of AI tools, models, agents, and activity, organizations are exposed to unapproved usage, unmanaged access, and data risk, especially when AI activity happens locally, on endpoints, or outside traditional controls. In this video, you’ll see how Falcon for IT helps teams.
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cato networks

Reducing Time-to-Protect with Cato's Self-Evolving Vulnerability Protection Agent

Jun 1, 2026 By Dr. Guy Waizel In Cato Networks
TL;DR: In the age of frontier AI models, vulnerability discovery and exploit development are scaling faster than human defenders can manually respond. Security teams already face growing CVE volumes, shorter exploitation windows, and manual workflows for researching vulnerabilities, creating protections, validating them, and preparing them for deployment. As attackers weaponize vulnerabilities faster than organizations can patch them, time-to-protect is becoming a critical security metric.
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netwrix

Best AI governance tools and platforms in 2026

Jun 1, 2026 By Netwrix Team In Netwrix
Most AI deployments run without formal controls over what data they can reach, what decisions they make, or how they behave in production, yet regulators now require answers to all three. AI governance tools address these risks across three distinct layers: model governance, data access governance, and observability. Most enterprises need coverage across more than one layer. AI governance has shifted from a voluntary best practice into a formal compliance requirement.
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armo

Types of AI Agent Attacks: A Security Team's Taxonomy

May 30, 2026 By Ben Hirschberg In ARMO
A security team running agents in production can already list the ways those agents get attacked: prompt injection, memory poisoning, tool abuse, model tampering, agent-to-agent coercion. The list is not the problem. The problem is that a security architect can recite all five and still not know which ones their detection stack will catch, because the way the field catalogs these attacks says nothing about whether the attack is catchable.
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armo

The AI Agent Attack Kill Chain: Which Stages You Can Actually Detect

May 30, 2026 By Shauli Rozen In ARMO
The early stages of an AI agent attack are silent. The poisoning, the hijacked intent, the reconnaissance: none of it executes, so none of it produces a runtime signal, and the kill-chain instinct every security team runs on says exactly the wrong thing here: break the earliest link. There is no early link to break. You cannot detect a stage that emits nothing.
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armo

Tool Call Analysis for AI Attack Detection: Reading What Rides Inside the Call

May 30, 2026 By Yossi Ben Naim In ARMO
A compromised agent doesn’t make a single call it isn’t allowed to make. It queries a table it’s authorized to read, calls a tool it’s authorized to use, sends to a domain that’s on the allowlist. Every call is legal. The attack is in the values it passes, and your tool-call log records all of it as a clean day’s work. A tool call has two layers. Almost every tool you run reads the first one: the call itself: which tool, in what order, at what rate.
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armo

How to Tell If Your AI Agent Has Been Compromised (When Every Symptom Looks Normal)

May 30, 2026 By Ben Hirschberg In ARMO
Your AI agent just did something it has never done. It called a tool that is not in its usual set, or it opened a connection to a destination you do not recognize, or its output came back subtly wrong. So you do what anyone does: you search for what a compromised agent looks like, and you find a checklist. Unusual tool usage. Unexpected data access. Out-of-context responses. Elevated resource consumption.
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Compliance and Regulation Heat Up in 2026: A New Phase of Scrutiny for Financial Services Organisations

Compliance and Regulation Heat Up in 2026: A New Phase of Scrutiny for Financial Services Organisations

May 29, 2026 By Sean Tilley, Senior Director of Sales EMEA In 11:11 Systems
The regulatory landscape facing financial services in 2026 is more complex, more demanding, and faster moving than at any point in the past decade. Across the UK, regulators are attempting to strike a delicate balance of stimulating economic growth while maintaining strong consumer protection and financial stability. This balancing act is unfolding against a backdrop of sluggish economic performance, geopolitical uncertainty, and political pressure for "pro-growth" regulation. The result is a regulatory environment where the pace, scope, and intensity of change is accelerating sharply.
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