Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Evo already knows which AI Assets your teams pulled into your repos, which MCP servers and skills are sitting on your developer machines, which of them carry risk, and which policies they break. Getting to any of it created friction: you leave the tool you are working in, filter a UI, export a CSV, and rebuild the chart you built last quarter, every time it’s needed.

CVE-2026-69197 is an authorization flaw in the Content Delivery API of Umbraco CMS, an open source ASP.NET content management system. The Delivery API enforces member and Public Access checks on the node a caller directly requests, but it does not apply those same checks to nodes referenced through Content Picker or Multi-Node Tree Picker properties. The gap extends to pickers nested inside Block List, Block Grid, and Rich Text Editor blocks.

Saying a control reduces exposure is easy and almost always true. Saying it reduces exposure by a specific amount is a different claim, and the machinery for producing one is well established. Set a baseline from frequency and magnitude ranges, simulate, re-estimate the ranges with the control in place, simulate again, and report the difference. ‍ The method is sound. Applied to AI controls it runs into two problems, one about which term the control touches and one about what the estimate rests on.

A recruitment system faces two obligations at once. AI rules classify it as high-risk and require the governance that follows. Employment law has required attention to discriminatory effect for decades, independent of any technology. ‍ They are not two versions of the same requirement.

Most brand protection solutions rely on one assumption: scam activity happens on the open web. Security teams focus on catching fake domains, social profiles, marketplace listings, paste sites, and dark web forums. While that covers a lot of ground, it leaves out a major risk: the official app stores.

UpGuard Vendor Risk was built around the idea that third-party risk management (TPRM) works better when continuous risk intelligence and full lifecycle workflow execution live in the same system. That commitment has earned recognition from one of the most respected analyst firms in the industry. The IDC MarketScape model assesses vendors on both current capabilities and future strategies.

Organizations spend considerable time preparing for the technical realities of a cyber incident. Detection capabilities, containment procedures, recovery plans and governance structures are all essential. Yet many of the factors that shape the success of a response have little to do with technology. The most effective incident response programs recognize that cyber resilience is shaped as much by people as technology.

Researchers at Microsoft are tracking an AI-assisted phishing campaign that sent over a million emails attempting to conduct payment diversion scams.

The corporate security perimeter has changed. An employee’s company laptop could easily arrive at work on a Monday morning connected to a home Wi-Fi network, then land in a hotel or workspace at noon on a Tuesday and work away from a hotspot on Wednesday. That leaves corporate data outside the reach of traditional IT and security controls.

As more businesses are becoming dependent on technology, the role of cybersecurity is more crucial than ever. With so many systems and applications in use, it is difficult to manage and protect devices and data against cyberattacks and unauthorized access. No single tool or team can secure an organization alone. Businesses today use cloud platforms, third-party applications, and remote endpoints, which increase the attack surface.