Testing AI applications before attackers do
AI applications can be attacked through their inputs. Prompt injection tries to override instructions, jailbreaks try to bypass safeguards, and poorly protected retrieval systems can leak documents or personal data.
Test each part: the prompts, the model, any agents and tools it can call, and the data sources behind it. Compare results across models, keep the tests as repeatable datasets, and rerun them after every change.
In restricted networks, testing tools and the models that generate and grade attacks must run locally. Plan the hardware for that early, because it often decides what is practical.
Keep reading
Why cameras, door readers and sensors belong in your SOC
Physical security devices are networked computers. Treating them separately leaves a gap attackers use.
12 November 2026 · 1 min read
Gulf and SaudiHow Saudi Arabia’s cybersecurity controls fit together
ECC, CCC, CSCC, SAMA and PDPL answer different questions. Here is a simple way to see which apply to you.
12 November 2026 · 1 min read
ComplianceWhich standard should you start with?
Most organisations face several standards at once. Here is how to pick a starting point without doing the work twice.
12 November 2026 · 1 min read