Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Artificial intelligence (AI) is transforming industries, but it also introduces new risks that organizations must manage carefully. This article explains how to develop and apply AI risk categories aligned with recognized frameworks, focusing on operational, technical, and ethical risks. Readers will learn how to prioritize these risks based on their potential impact on the organization.

The 2026 NASCIO-Deloitte Cybersecurity Study reveals a stark reality for CISOs in state governments: while cyber threats are growing in both sophistication and volume, the resources available to combat them are failing to keep pace. As foreign adversaries and cybercriminals weaponize AI to probe for vulnerabilities, state CISOs find themselves at a critical juncture, navigating expanding responsibilities amidst tightening budgets.

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.

If you've ever pulled an asset count from one tool and compared it to another, you've probably noticed they don't match. The discrepancy isn’t minor, either. The difference is likely to be substantial. One scanner says you have 4,200 assets. Your CMDB says 3,800. Your cloud inventory says 1,100. None of them agree, and none of them are right. That's not a data hygiene problem you can solve with a spreadsheet cleanup.

AI governance platforms are evolving rapidly to manage new challenges such as shadow AI and agentic AI. These complexities arise as AI systems grow beyond traditional boundaries, operating autonomously and often without clear oversight. This article explores how leading AI governance solutions, especially Kovrr’s integrated platform, address these challenges through comprehensive visibility, risk quantification, compliance automation, and active enforcement.

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.

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.

Electricity supports nearly every function of modern life: hospitals, water systems, transportation, communications, emergency services, financial systems, manufacturing, national defense, and, most importantly, streaming services. Kidding, but our most critical systems run on electricity, and that makes us vulnerable to attacks.

First made famous by Bear Bryant in the 1970s, “defense wins championships” has since become a popular sports adage that’s at times overused. But when it comes to the sprawling attack surface of modern athletic events, like the tri-hosted 2026 World Cup or the Super Bowl, that cliché applies just as much to cybersecurity as it does to the playing field. Modern sports franchises are no longer just athletic clubs.