02 / AI for security
Build a security agent around your data and decisions.
A useful security agent needs a defined job and approved context. Scope the evidence it can use, how current that evidence must be, and the decision criteria your team controls.
Discuss your security use caseThe decision to make
Can an agent use your proprietary context without hiding uncertainty or authority?
Define the job before choosing the model.
Begin with one analyst task, its inputs, its output and its escalation owner. Keep an evidence-backed recommendation distinct from an authorized action.
Make freshness and provenance part of the job.
Scope source permissions, access boundaries, update cadence and acceptable age. Agree what happens when evidence is stale, contradictory or missing. “Current” needs a testable definition.
Keep your decision policy inspectable.
Document business priorities, weights, exceptions and who may change them. Treat this policy separately from retrieval and model behavior, so a reviewer can see why a recommendation was made.
Illustrative workflow—not a client deployment.
A bounded path
through the work.
- 01
Gather
Retrieve permitted alert context and retain its source and age.
- 02
Assess
Apply the agreed prioritization policy; surface gaps rather than guess.
- 03
Review
Give an analyst the recommendation, evidence and uncertainty.
Scope the engagement
Proposed outputs
Agree the deliverables and acceptance criteria for your use case before work begins.
- Bounded agent behavior specification
- Data freshness and decision-policy specification
- Evaluation cases and integration handoff plan
Make readiness testable
Questions to evaluate
- How stale can each source be before the agent must abstain?
- Can your team replay a recommendation with the same policy?
- What should happen when sources disagree?
Start a conversation
Start with a bounded use case.
What do you want to protect or improve? Bring the objective, the operating constraints, and the questions your team needs to answer.
Discuss your security use caseKeep the first conversation high level and nonsensitive.