Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The CLOUD Act compels US-incorporated vendors to hand over data on request, regardless of where it's hosted. Here's why vendor jurisdiction matters for CTI.

Most security programs have a working model for responding to shadow AI: identify the unsanctioned tools employees are using, sanction or block them, and update the acceptable use policy. That model worked, however imperfectly, when the threat was limited to web-based GenAI applications. It does not work when the threat is an autonomous agent, running locally on an endpoint, that reads the file system, calls external APIs, and transmits internal data.

If you’re a service provider, you’ve probably felt the shift already. Clients are asking tougher questions about cost. Some are frustrated with hyperscaler bills. Others are rethinking VMware. And more are paying attention to where their data lives and who controls it. Put all of that together, and it’s clear: Infrastructure is becoming a strategic conversation again. One that creates both pressure and opportunity. eBook How to build a profitable IaaS business with Acronis Cyber Frame.

Shadow AI is the term for AI tools, models, and capabilities that operate within an organization without formal approval, oversight, or governance. It is the enterprise AI equivalent of shadow IT, which is the unauthorized software and cloud services that proliferated as employees found faster ways to get work done than waiting for IT procurement cycles. The difference is that the consequences of unmanaged AI are considerably more significant than those of unmanaged software.

Privileged accounts are the crown jewels of any IT environment. Admin credentials, root access, service accounts. These are what attackers go after first, because compromising one can hand them the entire organization. Forrester puts the number at 80% of security breaches involving privileged accounts. NIST frameworks, particularly SP 800-53, exist to make sure you're not leaving that door unlocked.

How do you ensure AI agents authenticate when they interact with your entire enterprise ecosystem when you aren’t there to watch their every move? Today, AI agents can do many things autonomously. They can update CRM records, create tickets, trigger workflows, modify data, and just about anything. The importance of authentication increases as they become more autonomous day by day. For years, API keys were the easy default for connecting applications to APIs.

You already know the threats are getting worse. What’s harder to articulate — especially to leadership — is exactly how they’re getting worse, and what’s slipping through the cracks in your current program. The application security risks your teams face in 2026 are not just more numerous than they were five years ago; they’re structurally different.

A year ago, a handful of vendors called themselves an “AI SOC.” Today, more than 100 do. The label now means whatever the person selling it needs it to mean, leaving security teams to buy very different products under the same two words. So let’s sort the market. Beneath the “agentic” branding, most AI SOC vendors fall into one of four categories, and none of them clears the bar. Each can look capable in a demo.

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

At the recent AWS Summits in New York and Toronto, Arctic Wolf was present to hear AWS introduce a set of security capabilities built to run continuously and act at machine speed. New approaches to vulnerability management, deeper integration of security into development workflows, and expanded context through knowledge mapping all point in the same direction: Security operations are becoming persistent, automated, and increasingly driven by AI.