What can your AI-enabled systems actually access, trigger, approve, log, and unwind?
AI agents and AI-enabled workflows are moving beyond chat into documents, inboxes, SaaS platforms, APIs, and business processes. Summit Guard helps security and technology leaders move from AI policy to runtime control, reviewable evidence, and practical accountability.
Access → Action → Approval → Evidence → Rollback
Runtime governance asks whether each step is understood, constrained, reviewable, and recoverable.
Systems, data, documents, tools, workflows, and permission paths the AI-enabled system can reach.
Actions the system can trigger, change, approve, submit, update, or influence.
Where human review, escalation, or blocking should occur before higher-risk actions.
What is logged, retained, and reviewable after AI-assisted decisions or actions.
How incorrect, unauthorised, or harmful actions would be detected, contained, and unwound.
For leaders connecting AI to real workflows.
This review is designed for CISOs, Heads of Cyber, CIOs, CTOs, and risk leaders responsible for safe AI adoption.
AI tools are being connected to documents, inboxes, SaaS platforms, workflows, APIs, or business systems.
AI agents, copilots, or AI-enabled automation may influence decisions or trigger actions.
Executives are asking whether AI-enabled workflows are controlled, reviewable, and recoverable.
Security, technology, and risk teams need a practical action plan before broader rollout.
Practical outputs, not advisory fog.
Runtime governance gap map
Where current controls do not match runtime risk.
Tool, data, and system access map
What AI-enabled workflows can reach or influence.
Human approval and escalation model
Which actions should be allowed, reviewed, or blocked.
Logging and evidence trail assessment
What evidence is retained and where gaps exist.
Priority control recommendations
Practical improvements ranked by risk and effort.
30/60/90-day action plan
A clear path for improving control without stalling adoption.
Map access and action pathways
Identify where AI-enabled systems can access data, call tools, trigger workflows, influence decisions, or interact with business systems.
Identify governance and control gaps
Review permission boundaries, approval points, escalation paths, logging, reviewable evidence, and rollback assumptions.
Prioritise practical next steps
Produce a leadership-ready summary, priority control recommendations, and a 30/60/90-day action plan.
A clear path from discovery to repeatable control.
Map priority workflows, access paths, high-risk actions, and immediate allow / review / block decisions.
Strengthen approval points, permission boundaries, evidence requirements, and operational review practices.
Establish governance rhythm, leadership reporting, detection, and rollback assumptions.
Request a scoping conversation.
Identify where your AI-enabled workflows may need stronger control before they scale. Delivered as a fixed-scope advisory engagement, quoted after the initial scoping conversation.
This is a practical governance and control review, not a legal opinion, formal audit, certification, or penetration test.