Domains.co.za unpacks how poisoned training data can quietly corrupt your business's artificial intelligence tools.

AI doesn’t understand information the way people do. It learns patterns from data. If that data is manipulated, biased, or corrupted, the model can learn the wrong thing and then keep repeating it ...

Model poisoning weaponizes AI via training data. "Sleeper agent" threats can lie dormant until a trigger is activated. Behavioral signals can reveal that a model has been tampered with. AI researchers ...

"This technique involves modifying the AI algorithm to intentionally produce specific erroneous results," writes Brach Eichler's Jonathan Bick. A novel legal self-help technique to secure artificial ...

Modern technology is far from foolproof – as we can see with, for example, the numerous vulnerabilities that keep cropping up. While designing systems that are secure by design is a tried-and-true ...

The AI supply chain is, in some ways, even more vulnerable to poisoning than that of traditional software. Katie Paxton-Fear, ...

Data poisoning presents an imposing cyberthreat to artificial intelligence amid agencies’ digital transformations because it’s designed to be subtle. Unlike traditional cyberattacks that focus on ...

AI agents choose tools from shared registries by matching natural-language descriptions. But no human is verifying whether those descriptions are true. I discovered this gap when I filed Issue #141 in ...

Protect your AI agentic workflows. Learn how to secure Model Context Protocol deployments against tool poisoning and ...

Old-school security playbooks can't handle AI glitches, so companies need a fresh approach to catch model errors and legal ...

A novel legal self-help technique to secure artificial intelligence data and programs is known as Poisoning AI. This technique involves modifying the AI algorithm to intentionally produce specific ...