Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Best Shadow AI Governance Tools for Enterprises: Buyer's Shortlist

Security teams already know employees use generative AI. The harder problem is buying the right platform before unsanctioned apps move sensitive data outside your visibility and control. UpGuard research found 81% of employees and 88% of security leaders use unapproved AI tools, and 45% of workers find a workaround when their employer blocks an app. That last number should shape your buying criteria more than the first two. Demand doesn't disappear when you block it. It moves somewhere you can't see.

Quantifying Cyber Risk Without Revenue to Lose

A public body has no revenue to lose, no share price to move and no insurance market pricing it the way one prices a manufacturer. It faces the same regulatory pressure to quantify cyber exposure as anyone else, and the standard model's central input does not exist. ‍ Substituting the loss categories is the easy half and it is where most guidance stops. The harder question is what the resulting figure is for, because the decisions a private company makes with it are mostly unavailable. ‍

When the AI Arrives Inside Software You Already Bought

An application that was AI-free at the last audit may be processing corporate data through a language model today. Nobody procured it, nobody approved it and nobody was asked. A vendor shipped a release. ‍ Third-party AI governance is built almost entirely around procurement. Assess the vendor, negotiate terms, sign a data processing agreement, add the tool to a register. The apparatus requires a purchasing event, and an embedded feature produces none, so the apparatus never engages. ‍

Key Features of an Insider Risk Management Program

Most organizations already have an insider risk management (IRM) program in some form. They have a tool, a dashboard, and an analyst reviewing alerts. What they often lack is a program built on the specific capabilities that turn activity logs into stopped incidents and reduced insider risk.

Top 4 enterprise risk management software solutions

Good enterprise risk management software gives you one place to record and score every risk, keeps that record current by watching your controls instead of waiting for a quarterly review, maps risks to the frameworks you report against, connects to the tools your teams already use, and turns all of it into dashboards your executives and board will read. The hard part is telling which products do those things well and which just store risks in a nicer grid. Below are the features that matter, a scorecard to weigh them, and four tools worth a look.
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Why Annual Third-Party Cyber Risk Assessments Are No Longer Enough

As regulators tighten expectations and cyber attacks increasingly exploit supply chains, organisations must shift from periodic vendor assessments to continuous third-party cyber resilience. For years, third-party cyber risk management focused primarily on vendor due diligence and annual security assessments. The objective was simple: determine whether a supplier met an acceptable level of security at a specific point in time.

Four Functions, One Obligation, No Owner

The standard answer to fragmented AI compliance is a responsibility matrix mapped across the lifecycle. Procurement accountable at intake, legal responsible for regulatory vetting, engineering accountable at implementation, security accountable for monitoring. Every stage has an owner and every function knows its part. ‍ Read that arrangement carefully and the problem is visible inside the solution.

Evidence on Demand, and Why Most Programs Cannot

A governance program looks complete until somebody asks it to prove something on a deadline it did not set. A supervisor sends an information request. An underwriter asks for control coverage before binding. A prospect's security team asks how a specific control operated last quarter, and the deal waits on the answer. ‍ Most programs can describe what they do accurately and cannot evidence it inside the window. The difference is not a documentation problem.

What a Cyber Risk Number Cannot Tell You

Arguments for quantifying cyber risk are abundant and mostly sound. What gets published far less often is a plain account of what a modeled figure does not tell you, which is unfortunate, because stating the limits is more persuasive to a skeptical audience than another argument for the method. ‍ We build these models. What follows is what they cannot do, written plainly, followed by what remains useful once those limits are accepted. ‍

From Hotspots to Lookalike Domains: 3 Phishing Tactics to Watch

In our previous “ABC’s of ‘ishing” posts, we explored how attackers use social media, calendar invites, fake CAPTCHA challenges, and other trusted tools to deceive users. This next installment looks at three phishing techniques that continue to put organizations and individuals at risk: evil twin phishing, domain spoofing, and email phishing.