Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most register comparisons rank products on fields, workflow and integrations. A more useful test is which decisions the register can settle, because a register that cannot settle a decision is a record of one made elsewhere. ‍ Five decisions get asked of a register. Which risk to treat first, how much to spend treating it, whether to accept it, whether to transfer it, and whether the treatment worked.

Interaction monitoring covers four of the ten risks in the 2025 Top 10 for LLMs and generative AI applications well, three partially and three not at all. The split is not arbitrary, and the line it follows tells a buyer more than the coverage count does. ‍ Monitoring observes systems being used. Several entries on the list describe defects in how a system was built, which no amount of observation at the point of use will surface.

A coding agent on a laptop runs as the developer. It reads the same keychain, carries the same tokens and appears in every downstream log under the same name. The identity record is accurate and it cannot answer the question governance needs answered. ‍ Every control keyed to identity therefore operates on a merged subject.

An audit trail is usually judged by how much it contains. The more useful question is how many innocent explanations it rules out, because a record that admits a benign reading supports an assertion rather than a conclusion. ‍ Each source added to a trail removes an alternative explanation rather than adding detail. Confidence therefore climbs in steps rather than smoothly, and three sources of the same kind are worth less than two of different kinds. ‍

Enterprise AI governance guidance assumes a review board that meets monthly, an independent validation function, an impact assessment per system and somebody whose job title contains the words AI and compliance. A company of three hundred people has none of those and is governed by the same regulations. ‍ The difference runs deeper than budget. Enterprise programs are assessment-led, which scales with headcount because every system needs an assessor.

The extortion demand is the figure that gets quoted and rarely the largest line. Downtime, restoration, forensics, legal hours and notification each contribute, and for a mid-market company the regulatory components behave in a way that catches finance teams out. ‍ Reporting deadlines do not scale with headcount.

Monitoring has to happen on the device, because three categories of AI use never reach the network in a form anything can inspect. Local models run without leaving the machine. Desktop applications that pin their certificates sit on an inspection bypass list by design. A laptop on a home connection routes through nothing the organization operates at all. ‍ The uncomfortable part is that the first two are deliberate. Somebody approved the bypass, and the approval was correct on its own terms. ‍

The Model Context Protocol states plainly that it cannot enforce these security principles at the protocol level, and that implementors should follow best practices in their integrations. Every control an organization gets therefore comes from where it places the gateway and what it does there. ‍ The protocol publishes its own security best practices document, currently at revision 2026-07-28, naming the attacks a deployment has to handle.

Plenty of material explains what ISO/IEC 42001 contains. Clause by clause, control by control, with a checklist of documents to prepare. The standard itself is a management system specification rather than a control catalogue, and the distinction is where audit preparation goes wrong. ‍ The checklists share one omission.

A model built on industry data produces an industry answer. The obvious next step is to calibrate it to the specific environment, and the obvious place to start is the threat picture, because every organization believes its own is distinctive. ‍ It is the wrong parameter to start with. Some inputs should stay general, some must be local, and the ones that must be local are the harder ones to observe, which is why they get left at a default. ‍