AI Evaluation and Red-Team Agent
Runs regression and adversarial tests against your AI features on every change and blocks releases that regress.
The challenge
Problems are spotted late, because nobody has time to keep watching every account, shipment, machine or deadline.
How it works
- 1The agent keeps watch over your data.
- 2Most of what it sees is normal, and it carries on watching.
- 3When something looks wrong, it works out the likely cause and who is affected.
- 4It opens a case in your system and prepares a recommended response.
- 5The right person is alerted, with the evidence and a suggested next step.
Your people stay in control
The agent raises the alert and suggests what to do. Your team decides what action to take.
Systems we work with in Software Development
- Git hosting and code review
- CI/CD pipelines
- Issue trackers
- Observability and incident tools
- Cloud consoles and infrastructure as code
- Security scanners
How we measure success
- How early problems are caught
- How many alerts turn out to be real
- How quickly alerts are acted on
Kind of work
Monitoring and alerts. The agent keeps watch around the clock and alerts the right person when something needs attention.
More in Software Development
On-Call Incident Triage AgentResponds first to system alerts, investigates the cause and wakes an engineer only when one is needed.Data Quality & Pipeline AgentMonitors the flow of data between systems, diagnoses quality problems and fixes the common ones.Compliance Evidence AgentCollects SOC 2 and ISO 27001 evidence from your systems continuously and flags controls that have drifted.Code Review AgentReviews code changes with an understanding of the whole system, points out real problems and suggests fixes.
Want this working in your organisation?
We can show it working on real examples from your business before you commit to a full build.