SecOps
Security woven into operations — proactive threat management, identity and compliance engineered into the way your systems run, not bolted on afterwards.
Where this fits in your AI stack
AI cuts both ways for security. It expands the attack surface — prompt injection, data leakage, model abuse and a fast-moving supply chain of models and tools — while also supercharging defence through AI-assisted detection and response. We embed security into operations across both: protecting your AI systems, and using AI to strengthen your wider security posture.
Security as an operating model
Frequently asked questions
What new risks does AI introduce?
Prompt injection, sensitive-data leakage through prompts, insecure plugins/tools, model and data poisoning, and over-broad agent permissions. We assess and mitigate each as part of securing AI systems.
How do you secure an LLM application?
Input/output guardrails, least-privilege tool access, secrets and data controls, monitoring for abuse, and red-teaming for prompt injection — layered with your existing controls.
Can AI improve our security operations?
Yes — AI-assisted triage, anomaly detection and response reduce alert fatigue and speed up your SOC, with humans firmly in the loop on decisions.