AI-Ready Data Starts With the Business Decision, Not the Model
Every organization wants to get its data ready for AI. But ready for what? An enterprise knowledge assistant needs different data than a fraud model. A customer service …
Every organization wants to get its data ready for AI. But ready for what? An enterprise knowledge assistant needs different data than a fraud model. A customer service …
AI security starts with a fundamental question: What sensitive data can your AI systems access, and what happens to that data when AI uses it? That question has …
An AI agent requests access to a customer database. Before the system allows it to retrieve anything, two different security questions need answers: Is this really the AI …
Employees do not need to move sensitive data into an unapproved AI tool to create AI risk. Sometimes, they only need to connect it. An employee authorizes an …
AI agents need access to be useful. They need to retrieve documents, query databases, call APIs, interact with applications, update records, and execute workflows. But useful access can …
What Is Shadow Data? Shadow data is organizational data that exists outside the visibility, management, or security controls teams expect to protect it. It can include sensitive data …
AI adoption rarely follows a single, centrally managed path. An employee tries a new AI assistant. A developer connects a coding agent to a repository. A business team …
More businesses are using artificial intelligence, like autonomous AI agents, to handle day-to-day tasks like scheduling meetings, updating CRMs, and generating reports. While these systems help teams save …
Every fictional AI villain gets a moment where it decides humans are the problem. HAL 9000 decides the mission matters more than the crew. Skynet decides humanity is …
Cybersecurity has always been a race between defenders and attackers. As threats become more sophisticated, organizations increasingly rely on artificial intelligence to help security teams detect anomalies, investigate …