Technical collection
Versions, headers, dependencies, logs and configurations become evidence when collected with date, origin and clear scope.
AI agents · Evidence · ISO 27001
Agents help keep ISO 27001 alive when they have a clear job: collect proof, classify context and send evidence to a platform that enforces isolation and approval.
01 Search intent
The right architecture is scoped: a project agent sends what it knows about that project; an infrastructure agent sends technical checks; the platform consolidates and requires approval for critical decisions.
02 What we deliver
Versions, headers, dependencies, logs and configurations become evidence when collected with date, origin and clear scope.
AI suggests links to controls, risks and treatments. The auditor or owner approves what enters the ISMS.
Certification stops depending on evidence sprints. Each run feeds a timeline of evidence and pending work.
03 Workflow
Separate agents by context: npm project, infrastructure, email, runtime, asset catalog or security monitoring.
Each agent has its own token and write permission only for the corresponding organization.
The platform receives event, risk or evidence with origin, date, summary and suggested control.
Owners review, approve and export evidence, risks and SoA when the audit asks.
04 Practical proof
Exponencial started with A.8.8 because technical vulnerabilities are recurring, verifiable and easy to demonstrate in a real repository.
05 FAQ
Yes. The skill is a Node script and can also be installed as an agent skill. The channel matters less than scope and audit trail.
They can if they have excessive privilege. Exponencial's design uses least privilege, token-resolved organization and human review.
Not necessarily. It creates an operational layer for technical evidence and risk. It can coexist with existing GRC or operate as Exponencial's compliance platform.