Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In 2012, the "Shadow IT" crisis was employees putting files in Dropbox for convenience. In 2026, the crisis is Shadow MCP. Instead of a simple file storage app, security teams are now facing unvetted AI agents with the power to read from and write to internal systems. These servers are often running on infrastructure that was never reviewed, never approved, and remains entirely invisible to governance.

‍ Cyber risk has long outgrown its classification as a technical concern. For organizations serious about protecting enterprise value, managing cyber exposure requires financial grounding and the ability to communicate risk in terms that drive real decisions at the board and executive level. The distance between organizations that manage cyber risk strategically and those that report on it comes down to measurement approaches and the programs built around it. ‍

‍ Artificial intelligence (AI) offers businesses vast opportunities to boost efficiency, improve decision-making, and innovate faster. Yet, these benefits come with significant risks that can impact business operations and resilience if not managed carefully. This article explores how organizations can balance leveraging AI’s advantages while controlling its inherent risks. ‍

The ripple effects of a cyberattack rarely stay contained. Modern organizations rely on vast ecosystems of vendors, suppliers, SaaS providers, and partners. As those connections deepen, so does the potential blast radius of a third-party compromise. What begins as an exposed system or stolen credential inside a vendor environment can quickly cascade across the supply chain. Attackers understand this. Increasingly, they target trusted third parties as an indirect path into larger organizations.

The Common Vulnerability Scoring System (CVSS) remains the bedrock of risk communication for many mid-market organizations. Assigning numerical values to vulnerabilities enables a unified dialogue among security researchers, vendors, and IT teams, ensuring everyone speaks the same language when a new threat emerges. However, relying on a static score is no longer enough to defend a modern enterprise.

Financial services cybersecurity has evolved into a prerequisite for institutional solvency, moving far beyond traditional perimeter defense into the realm of total digital operational resilience. As the industry scales toward hyper-connected API ecosystems and decentralized service delivery, the sector’s risk profile has expanded significantly.

Security leaders don't struggle to justify the need for insider risk management (IRM). They struggle to justify the budget. When the CFO or board asks why you're spending seven figures on a program to monitor your own employees, "because insider threats are real" isn't enough. Cyberhaven data shows office-based employees are 77% more likely to exfiltrate sensitive data than remote workers, and that risk spikes further during offsite logins and workforce transitions.

In the ever-evolving cybersecurity landscape, managing access and mitigating risk across complex enterprise environments has never been more critical. The latest KuppingerCole Leadership Compass for Business Application Risk Management has officially recognized One Identity as an Overall Leader. This distinction underscores the One Identity commitment to providing robust, scalable solutions for today’s diverse and difficult IT security infrastructures.

The security landscape has fundamentally changed, and many organizations haven’t caught up. If you’re still relying on quarterly scans, annual penetration tests, or spreadsheet-based vulnerability tracking to manage risks within your applications, you’re not managing risk. You’re documenting it after the fact.