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knowbe4

AI Agent Governance Part 3 - Runtime Governance: The Hidden Performance Cost of Agentic AI

Jun 1, 2026 By Anna Collard In KnowBe4
At the World Economic Forum cyber meeting in Geneva recently, I had an interesting conversation with Vinh Nguyen, who is a strategic security advisor and Senior Fellow for AI at CFR. I wanted to know from him how he sees runtime governance in agentic AI working out practically and what approaches actually work. One of the challenges he mentioned was that yes, we need runtime governance to provide continuous and real time assurance that agents are doing what they are supposed to be doing.
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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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What Makes LCD Displays Reliable and Efficient

What Makes LCD Displays Reliable and Efficient

May 31, 2026 By SecuritySenses In SecuritySenses
Electronic screens are everywhere today. Selecting the right technology makes a major difference in how a device performs. Liquid crystal displays have held a top spot in consumer electronics for decades. They offer a strong mix of performance and value. These screens operate reliably under conditions that cause other displays to fail. Hardware designers look for components that balance clarity with power consumption. Understanding what makes them work helps teams pick the best components. Let us examine the mechanics behind these dependable screens.
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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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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

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

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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Cybersecurity Mistakes Accounting Firms Keep Making (And How to Fix Them)

Cybersecurity Mistakes Accounting Firms Keep Making (And How to Fix Them)

May 30, 2026 By SecuritySenses In SecuritySenses
Tax season brings a predictable surge in phishing emails targeting accounting professionals. The messages look like client requests, IRS notifications, or software update alerts. They are crafted specifically for firms that handle sensitive financial data under deadline pressure, because attackers know that pressure creates mistakes.
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