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A small context packet can make an AI response easier to control. It can also hide an important decision: which available information did the system exclude, and why? In my public context-aware reception case, the central design is a resolver…
llms.txt is a plain Markdown file, usually published at the root of a website, that tells AI agents what the site is and which pages to read first; it blocks nothing, and in the sources Canlah AI reviewed on…
Sorting supplier offers by price is easy. Establishing what those prices refer to is the part that needs a policy. An offer may use a different unit, specification, delivery condition or validity period. A clean comparison table can conceal those…
Once you classify the data, review the university Minimum Security Standards. These standards describe the appropriate steps for protecting data based on the data classification. www is considered Level-I data because it is governed by a service-level agreement that dictates…
This document provides an expanded list of representative examples of data classified as Level One data. This list is provided to help stewards, users, managers, and information service providers with a method for evaluating the level of protection required for…
The purpose of this standard is to assist Users, Stewards, Managers, and Information Service Providers in identifying what level of security is required to protect data for which they are responsible. The audience for this document is all students, faculty,…
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can…
Three days ago I published JANISSARY's benchmark results: F1 0.920, precision 1.000 on the OWASP Benchmark DAST-applicable subset. Zero false positives across 2,258 cases. Today I ran it against OWASP Juice Shop. It found 39 vulnerabilities. All 39 were wrong. And it missed the SQL injection…
Every DAST tool I've used has the same failure mode, and it isn't detection. It's trust. You run a scan. You get 200 findings. You triage 30. You discover 22 are noise. You stop reading findings. The tool that was supposed to save…
Every form you've ever built has shipped with the same silent bug: it accepts whatever someone types and moves on. Someone writes "it was bad" in a feedback field, and your form says, in effect, great, thanks — and stores three…