Security tools only see a sliver. Discover how triangulation reveals the whole in the AI Interaction Data Fabric Insights.
November 12, 2026
Most of a CRQ program transfers to AI exposure. Three parts do not, and those three decide how the extension is built.
November 11, 2026
A detection tool reports what it found. Scoring a trial means establishing what it should have found first.
November 10, 2026
The questions are not the hard part. Verifying answers that arrive as a yes, and catching the failure no AI question asks about, is.
November 9, 2026
A mapping of Kovrr's capabilities against the four AI TRiSM layers, including what sits outside the platform.
November 8, 2026
Whether a model is proprietary describes who owns it. Whether its figures can be traced to the events behind them is a different question.
November 6, 2026
Apple described how AI agents fail in operational detail and attached no figure to any of it, which is what a risk factor does.
November 3, 2026
The framework a platform names and the evidence it can produce are different questions, and only one of them is checkable.
November 2, 2026
The Event Catalog puts every simulated event in the platform, with each headline metric traced back to the rows, offering full transparency.
November 1, 2026
Authority over AI dispersed across the business. Answerability stayed with the CIO, which is a structural position rather than a failure.
October 29, 2026
Every vendor claims agent identity. What separates them is what happens when the builder leaves.
Learn more about the methods that global enterprises are using to discover and monitor AI across every business unit.
October 28, 2026
LiteLLM was compromised twice in 2026, and neither attack touched a model.
The model is the cheap part. Loss data, maintenance and defensibility decide the build question.
October 27, 2026
Detectors flag second-language writers and miss deliberate use. Usage records answer what prose cannot.
October 26, 2026
Control status flows in and quantified exposure flows back. Most builds only do the first.
Boards have stopped asking whether cyber risk belongs in dollars. They now ask how each figure was derived.
Measure's 22 subcategories divide by evidence type, and monitoring answers roughly a quarter.
October 25, 2026
Both express risk in currency, and the differences sit in the loss data and the time to a figure.
Copilot reveals the permission state rather than changing it, which makes this permissions work.
October 24, 2026
Conventional tooling asks whether a supplier leaks. AI vendor risk asks what they do with your data.
October 22, 2026
The best questions to ask a CRQ vendor about model data, defensibility, reporting, staffing, and what it costs to run.
October 21, 2026
One holds findings in the thousands, the other scenarios in the tens, joined by control coverage.
Three obligations already bind a bank running AI, and the high-risk regime is not one of them yet.
October 20, 2026
Seven fields carry an agent registry, and which kind each one is decides whether it drifts.
October 19, 2026
The two approaches diverge predictably, which makes the distance between them informative.
Four categories announce themselves differently, so content detects three of them and origin detects the fourth.
October 18, 2026
Most tools produce a rating. The separating test is whether the output arrives in currency.
October 16, 2026
One ratio per control orders the whole list and identifies where spending stops paying.
October 15, 2026
A coding agent runs as the developer, so identity-keyed controls treat the two as one actor.
Monitoring covers four risks well, three partially and three not at all, split along construction and use.