Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

So I asked my agent instead...

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.

What It Takes to Say an AI Control Reduces Loss by a Number

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.

Streamline Prioritization in Your CTEM Program with Seemplicity

Prioritization in CTEM is the process of determining which exposures should be addressed first based on the risk they pose in your specific environment. Rather than relying on severity scores alone, effective prioritization combines internal business and asset context with external threat intelligence, then focuses teams on the fixes that reduce the most meaningful risk.

6 Best Server Virtualization Platforms for Financial Services

Financial services teams don't have room for downtime or loose audit trails - server virtualization has to hold up under both. But the pressure points are predictable: VM sprawl quietly eats resources, licensing gets tangled across changing environments, and high-density workloads expose weak spots fast. We reviewed platforms across deployment scale, performance consistency, and enterprise adoption to narrow it down to six worth considering for financial services environments.

Quantum Computing and the Future of Security: What Teams Should Understand Now

Quantum computing is one of the most hyped topics in technology, and for security professionals it carries a particular weight. Beyond the general excitement about a new kind of computing lies a specific and serious question: what will quantum computers mean for the security we rely on today? Much of the encryption that protects data, communications, and systems rests on mathematical problems that ordinary computers cannot solve in any practical amount of time. Quantum computers, at least in principle, could one day solve some of those problems, which would have real consequences for security.

Global Bitcoin ASIC Miner Benchmark 2026: Comparing Efficiency and Rack Density Across Leading Models

In 2026, Bitcoin mining hardware is no longer judged by nameplate hashrate alone. As hashprice compresses and network difficulty rises, Bitcoin ASIC efficiency increasingly determines how long a machine can remain above its shutdown price. Yet J/TH is only the starting point. The power efficiency ratio shapes miner-side electricity demand, while mining rack density determines how much usable hashrate a facility can extract from limited power, cooling capacity and rack space.