ai.assets
AI systems & agents
Inventory the AI systems and agents operating in the environment.
AI Security Assessment
Find your AI security blind spots.
Get a practical view of what your AI systems and agents can access, what they can do, where exposure exists, and what to address first.
Assessment scope
Understand the security surface of your AI environment.
The assessment covers the capability surface that creates exposure—not a model or application in isolation.
- iam.identity
Identities
Identify the identities those systems and agents run as.
- ai.model
Models
See which models are in use and where they sit in the chain.
- data.access
Data access
Determine what data AI systems and agents can reach.
- tools.connected
Tools
Map the tools agents can invoke to take action.
- apis.external
APIs
Surface the APIs those tools expose and can call.
- iam.grants
Permissions
Review what each identity is allowed to do.
- runtime.actions
Actions
Understand the actions AI systems and agents can take.
What the assessment reveals
From inventory to prioritized findings.
The engagement follows a single chain: discover the AI estate, map capability relationships, assess exposure, and prioritize what to fix first.
Discover
AI inventory
Establish what AI systems and agents exist.
Map
Capability relationships
Connect identities, models, data, tools, APIs, permissions and actions.
Assess
Security exposure
Derive exposure from what can be accessed and done.
Prioritize
Findings and direction
Prioritize findings and show practical remediation direction.
Findings example
What a prioritized finding looks like.
The Customer Support Agent below is an illustrative example—not a real customer or production finding.
Agent
Customer Support Agent
support-agent-prod
Example exposure
- Sensitive data access
- Write permission
- External communication
- Autonomous action
- No human approval
Remediation example
Reduce CRM permission from READ/WRITE to READ unless record modification is required.
CRM READ / WRITECRM READ
What you receive
A practical view of posture, exposure, and next steps.
The assessment produces a security-focused picture of capability and exposure—and the remediation that reduces it.
01 AI security posture view
A structured view of AI systems, agents, and the capability surface around them.
02 Capability and exposure analysis
What can be accessed, what can be done, and the exposure that follows.
03 Prioritized security findings
Findings ordered by the exposure they create—so the first fixes are clear.
04 Practical remediation recommendations
Specific, least-privilege actions such as reducing unnecessary write access.
05 Assurance/control mapping
Map results to recognized frameworks and internal security controls as an assurance outcome.
Assessment process
A structured engagement, not a generic intake.
Four stages take security teams from the AI environment to a review of findings and practical remediation priorities.
01 Discover
Understand the AI environment.
02 Map
Connect systems, identities, data, tools, APIs, permissions and actions.
03 Assess
Identify security exposure and prioritize findings.
04 Review
Discuss findings and practical remediation priorities.
Who it is for
Built for security, governance, and architecture teams.
CISO / Security Leadership
Understand the organization's AI security exposure.
AI Governance / Responsible AI
Turn AI governance requirements into practical security visibility and assurance.
Security Architecture / AppSec
Understand what AI systems can access and what they can do.
Enquiry
Request an AI Security Assessment.
Share a short description of your environment. This form is frontend-only on the static site and does not transmit data.
assessment://enquiryStatic form
Start with visibility.
Know what your AI can access, what it can do, and where exposure exists.