#ai security controls

[nishantinfosectrain]

The Essentials of AI Safety: Exploring the Core Types of AI Controls

An AI control is any measure that governs or guides AI behavior. This can range from technical (e.g., algorithms that self-correct an AI’s course) to procedural (e.g., company policies or laws about AI use). The goal is the same: to ensure AI systems do what we want them to do, nothing more, nothing less. With AI making more decisions on our behalf, having the right controls in place is as critical as having good brakes in a fast car.

Read full blog:  Types of AI controls

[nishantinfosectrain]

Types of AI Controls

Artificial intelligence is not just a buzzword anymore; it is everywhere, from chatbots resolving customer queries to algorithms driving cars. In fact, 78% of organizations now use AI in at least one business function, up from 55% just a year earlier. This exponential growth comes with a twist: along with enthusiasm, the share of business leaders who view AI as a potential risk has more than doubled (from 5% to 11% in one year). Staying ahead in cybersecurity means understanding how to harness AI’s power safely and responsibly. That’s where AI controls come in. AI controls are the rules, mechanisms, and safeguards that ensure AI systems behave as intended, keeping them on track, ethical, and secure. Read full blog: Types of AI Controls