Specialised agents for risk, vendor, incident, compliance, recovery, policy and AI governance. They coordinate across all four management systems.
The challenge
Most of a security and compliance programme is not hard, it is just relentless. Classifying a new asset, drafting a questionnaire answer you have written ten times before, writing the justification for a control, chasing the next review. None of it needs deep thought, all of it needs doing, and it quietly consumes the people who should be working on the decisions that actually matter.
Bolting a chatbot onto the side does not fix this. A general assistant that knows nothing about your asset register, your risks, or your open controls just produces confident text you then have to check. What helps is work that understands your actual workspace, drafts from your real data, and brings you in only when a decision needs a human. That is a different thing from a chat box, and it has to be governed, with every output logged, the way ISO 42001 expects.
Benefits at a glance
Each agent owns a domain: risk, vendor, incident, compliance, recovery, policy, AI governance. Agents coordinate across the platform, hand off work and surface decisions to humans only where judgement is required.
Agents reason over your asset register, risk surface, BC plans, vendor records and AI systems in real time. Suggestions are framework aware, prioritised by residual risk reduction and traceable to the data that produced them.
First drafts of risk treatments, BC plans, policy sections, vendor responses and audit answers are produced from workspace context, not generic templates. Review, adjust, publish, with every approval logged for governance.
Cmd+J opens the assistant on any record. Cmd+K runs a global search across assets, risks, controls, policies, vendors, incidents and BC plans. The shortcut works the same on every page, so the assistant is one keystroke away from the work it should help with.
How it works
Upload a framework assessment or describe the current state in plain language. Agents map the input against the selected framework, identify gaps across the ISMS, BCMS, DSMS and AIMS and produce a prioritised remediation plan in minutes.
Select a risk, asset, vendor, policy or AI system and ask for a summary of status, related findings and suggested next steps. Summaries are generated from live workspace data, so they reflect the actual state of the programme.
Simple Mode walks new users through a guided flow with the next action surfaced for them. Expert Mode opens the full depth of the platform for the ISB, the risk owner or the auditor. Switch per user or per session. One platform, two ways in.
Filter the entire workspace to one scope: a tenant, a site, a standard, a single management system. The lens narrows risk views, evidence packages and reports without rebuilding the data model. Multi-entity from day one.
Agent-driven workflows handle routine work: drafting SoA justifications, generating questionnaire responses, classifying new assets, suggesting BC exercise scenarios, monitoring AI system metrics. Every output goes through human approval before commit.
KaitoSec