Trust
the model?

AI security, explained.
How intelligent systems fail,
how attackers exploit them, and
how teams fight back.

Start reading
Iridescent glass shield floating over glossy blue waves
Glowing portal of data particles in the dark
Iridescent crystal orb on bright blue
Glass prism splitting light on bright blue

The threat landscape

Four ways AI breaks

01Field guide

Prompt injection

Words that rewrite the rules. How hidden instructions smuggled into documents and chats hijack a model and turn it against its own instructions.

02Analysis

Model theft

Stealing the weights. Exfiltration, distillation and model extraction, and what it costs when months of training walk out the door.

03Deep dive

Data poisoning

Corrupting the source. Tampered training data plants behavior that surfaces months later, long after the trail has gone cold.

04Governance

Shadow AI

The tools you cannot see. Ungoverned AI use inside teams leaks data daily, and most policies never mention a single one of them.

Read your way to safer AI

One new piece of the puzzle every week: attacks dissected, defenses tested, plain language throughout. No jargon walls, no fear selling.

Browse all articles