AI Agent Security Readiness
Agents act. They hold credentials, call tools, read untrusted content and take actions that used to need a person. Identity, least-privilege tool authorisation, injection defence, action approval and audit for agents are new controls that most programmes have not defined.
This assessment provides a readiness indicator based on the information provided. It does not constitute legal advice, a conformity assessment, or a determination of an AI system's legal classification, which should be confirmed with qualified counsel.
The companies this problem finds first.
Companies deploying agentic workflows internally or in products
The moments that turn this from a someday into a now.
- Agent with write access to systems
- Agent reading external content
- Customer or auditor asks how agents are controlled
- Agent-caused incident
8 areas, one control library.
Every area maps to controls already in the platform's single control library, so evidence collected here counts toward every other framework the business has adopted.
Agent inventory and purpose
Agent identity and credentials
Tool authorisation and least privilege
Untrusted content and injection defence
Human approval for consequential actions
Agent activity logging and audit
Agent incident response
Agent supply chain: models, tools, plugins
Deliverables you can hand to a buyer, a board or a regulator.
- Agent register with trust boundaries
- Control readiness against the agent security control set
- Permission and approval design review
- Remediation roadmap
The sources every control cites.
Requirement statements are plain-English summaries for planning; the source instrument controls. Which of these reach your business is a question the assessment records with its reasoning, not one this page answers.
- AI agent security control expectations (best practice)
- OWASP Top 10 for Large Language Model Applications
- NIST AI Risk Management Framework (AI RMF 1.0)
- ISO/IEC 42001:2023 (AI Management System)
What each executive gets out of it.
CEO
Agents deployed with the same accountability as employees.
CFO
Automation gains without uncontrolled action risk.
CTO / engineering
A permission and approval model engineering can implement.
General counsel
An audit trail for every consequential agent action.
CISO / security lead
Agent identities, tools and actions visible and controlled.
Integrated capabilities, not a separate programme.
Engagement tiers
AI Governance · Product Security. Tiers describe depth and cadence; there is no per-regulation price.
Usually bought by
CTO / engineering, CISO / security lead, Head of engineering
Part of these packages
AI Company
Often paired with
AI Security Readiness · AI Governance · Secure SDLC & Product Security Readiness · EU AI Act Readiness
The objections, answered directly.
Read-only agents still exfiltrate data through injected instructions and still hold credentials. The inventory shows whether that is actually true.
Start with the free check.
AI Agent Security Quick Check: a short, scored indicator of where you stand and the evidence that would close each gap. A consultant follows up to scope the full readiness engagement.