Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Real-Time AI Security Monitoring: Why One Assessment Expires

A penetration test on a web application stays broadly valid until someone changes the application. An assessment of an AI system starts expiring immediately, because the system changes without anyone at your organization touching it. The same prompt can return a different answer tomorrow, and the provider can revise the model underneath you without notice. ‍

Cyber Risk in Healthcare: Quantifying Ransomware and EHR Downtime

Ransomware has shut down hospitals and data breaches have exposed millions of patient records. But healthcare organizations still struggle to manage cyber risk, because decisions get made on compliance checklists and generic threat scores that reveal nothing about real business impact. In this video, Kovrr breaks down how cyber risk quantification turns healthcare threats into financial terms, and why that changes the conversation between CISOs, compliance leads, and the board.

7 Things People Get Wrong About Quantifying Cyber Risk

Most explanations of financial cyber risk modeling cover what it is. The more useful material is what surprises people once they have a model in front of them, because several of the outputs run against intuition and get misread in predictable ways. ‍ Seven of those are worth knowing before the first results arrive. None requires a statistics background, and each one changes how a number should be read or reported. ‍

AI Governance Tools and the Audit Trail Problem

An AI governance platform demo shows you the present. Compliance posture at seventy-nine percent, four controls needing attention, a register of systems with owners attached. Every figure describes today, and the demo is persuasive precisely because today is legible. ‍ An audit asks a different question.

What an Open Control Weakness Costs You Every Month

Security programs price control work as an investment decision. What does the fix cost, what does it remove, does the return justify the spend. The framing answers whether to do something and says nothing about the cost of the interval before it gets done. ‍ An unimplemented control accrues expected loss for every month it stays unimplemented.

OpenTelemetry and AI Governance: Where the Standard Stops

OpenTelemetry graduated from the Cloud Native Computing Foundation in May 2026, which formally settled a question the industry had answered informally years earlier. It is the standard way applications emit telemetry, second only to Kubernetes in contributor volume, and native across every major observability backend. ‍ A security and governance company has a specific reason to care.

Where Cyber Loss Comes From: Attack Vectors Ranked by Exposure

Security awareness receives a disproportionate share of attention relative to the exposure phishing carries. Modeled against initial access technique, valid account abuse accounts for around a quarter of expected annual loss in a typical portfolio, exploitation of public-facing applications around a fifth, and human error around a seventh. Phishing appears sixth, at roughly seven percent.

What an AI Compliance Audit Involves, Stage by Stage

An AI compliance audit is less mysterious than its absence from most planning suggests. Someone outside the organization reads what you wrote down, then samples real systems to test whether the organization does what the documents describe. The distance between those two things is where findings come from. ‍ Three different exercises get called an AI audit, and they run differently. Certification against a management standard follows a defined two-stage process.

A Prompt Is Not a Boundary: Lessons From the AI Eval Incidents

Three organizations had their production systems compromised by an AI model in April, and found out in late July when the model's developer called them. None of them had detected the activity. One was a security company whose own package scanner was the entry point. ‍ Anthropic published that account on July 30, nine days after OpenAI disclosed a related incident of its own.

Does Cyber Insurance Cover AI Incidents?

The answer changed on a specific date. Until the start of 2026, most organizations were covered for AI losses by silence rather than by grant, because policies neither affirmed nor excluded AI and the question would have been argued at claim time. On January 1, 2026 the standard forms organization introduced generative AI exclusion endorsements for commercial general liability, and carriers began attaching them at renewal. ‍