AI Defense: AI security

Overview

Once a language model can read company documents and call tools, it becomes part of the attack surface. A crafted message can steer it, a loose permission can let it reveal data it should never show, and an unwatched endpoint can be put to uses nobody approved. AI Defense closes those gaps before launch and keeps them closed after it.

We design AI systems so that every model call passes through one governed layer: scoped to the user and the task, with writes gated, sensitive data redacted and every call logged. Then we test them the way an attacker would, and monitor them in production for injection attempts, unusual usage and departures from policy.

The same discipline works in the other direction. We use AI to help security teams detect threats, sorting alerts, spotting unusual patterns in access and activity logs and summarising incidents, with a person deciding what happens next.

Capabilities

Prompt injection protection

Inputs, retrieved documents and tool results are treated as untrusted and kept apart from instructions, so content cannot quietly take control of a model.

Data leakage prevention

Retrieval and tool access are scoped to what each user may see, sensitive fields are redacted, and outputs are checked before they leave the system.

Model abuse controls

Rate limits, usage policies and monitoring stop models and agents being used for work nobody approved or running up costs nobody can explain.

Red teaming

Structured adversarial testing of models, agents and their tools before launch and after significant changes, with findings delivered as a written report.

AI governance and monitoring

Written policy on what each model and agent may do, approval rules for actions that matter, and live monitoring of every call against that policy.

AI-assisted threat detection

AI that sorts security alerts, flags unusual access and activity, and summarises incidents for the analysts who decide the response.

Technical detail

Architecture, integrations, deployment and documentation for AI Defense are published by Opsian Technologies, the engineering arm of Opsian.opsiantechnologies.com

Industries

Questions

Is this only for AI systems Opsian built?: No. We assess and protect AI systems whoever built them, including hosted assistants that have been given access to company data.
What does red teaming produce?: A written report of what was attempted, what worked and how to fix it, ranked by risk, followed by a re-test once the fixes are in.
Does AI make security decisions for us?: No. AI sorts, flags and summarises. Decisions on how to respond stay with your security team, and every action the AI takes is logged.