AI that acts, inside rules you set
Command AI puts governed AI agents to work across offensive testing, SOC operations and compliance. Routine work runs deterministically, AI reasoning is used where judgement is needed, and every high-risk action waits for a human.
Specialised agents, one command structure
Defence agents
Triage alerts, enrich detections and summarise cases through policy-gated workflows.
Offensive agents
Run continuous AI-assisted testing, chain attack paths and back findings with proof.
Compliance agents
Check controls against frameworks continuously and assemble audit evidence.
Remediation agents
Contain threats, fix exposures and revert drift, only inside approved playbooks.
Rules of engagement
Route
Each task goes to a deterministic workflow or to AI reasoning, based on how ambiguous it is.
Act
Agents work inside approved playbooks and scopes, never outside them.
Approve
High-risk actions, including any offensive step, need named human approvers.
Record
Every action is written to an immutable audit log with its reasoning.
Learn
Validated AI findings are turned into repeatable automated workflows.
Humans stay in command
AI speeds up the work. People keep authority over it.
Inputs
AlertsExposuresControl checksCommand AI
RoutingAgentsApprovalsOutcomes
Closed casesFixed exposuresAudit evidenceCommon questions about Command AI
Does the AI take actions on its own?
Only routine actions that a playbook explicitly allows. High-risk and offensive actions always wait for human approval.
Can we see why an agent did something?
Yes. Every action is logged with the inputs, reasoning and approver, and the log cannot be altered.
Does our data train shared models?
No. Your data stays within your deployment and is not used to train models for other customers.
Bring one real incident. We will walk it through CyberWall.
A working session with our engineers, built around your sources, your alerts and the questions your SOC is asking today.