AI and Information Security: What Risk and Compliance Teams Need to Know AI is changing information security in two directions at once. Security teams are using AI to classify events, summarize investigations, identify…
AI Implementation in Decision Support: Aligning Data, Workflows, and Human Review AI implementation in decision support succeeds only when three elements work together: trusted data, a workflow that can use the output…
Decision Support With AI: Where Implementation Choices Matter Decision support with AI can look impressive in a demonstration because the model produces a recommendation quickly. In production, value depends on a…
AI Implementation for Decision Support: What to Plan Before Deployment AI implementation for decision support often begins with a model or assistant that can produce useful recommendations. Deployment becomes harder…
Model Risk Control With AI in IT Security: What Teams Need to Govern When AI becomes part of security operations, teams are not only deploying a detection or decision-support capability. They are introducing a model…
Where AI in IT Security Fits Into Model Risk Control Security teams are adding AI to alert triage, anomaly detection, threat classification, vulnerability prioritization, and investigation support. The operational…
How AI in IT Security Supports Model Risk Control As organizations put more AI models and assistants into production, IT security teams are being asked to manage risks that did not exist in the same form with…
Choosing LLM Use Cases Around Business Value, Data, and Risk Organizations can generate dozens of possible LLM use cases in a workshop, but only a fraction deserve production investment. The selection problem is not a…
High-Value LLM Use Cases Business Leaders Should Evaluate High-value LLM use cases are not defined by the number of tokens generated or the sophistication of the model. They are defined by whether the model removes…
LLM Use Cases for Business Leaders: Where to Start Business leaders evaluating LLM use cases often face an unhelpful choice between broad experimentation and overly cautious inaction. The better starting point is to…