01DISCOVER
Bring shadow AI into view
Review approved and unapproved AI use, connected applications, agent inventories, and the limits of available discovery methods.
AI Security & Governance
Adopt AI. Control the risk.
Bring visibility, access control, and accountability to enterprise AI adoption—from employee tools to connected AI agents.
From strategy to execution
AI adoption needs an operating model for trust.
Employees, applications, and autonomous agents can introduce new paths to sensitive data. Start by understanding which AI tools are used, what information they access, and which actions they can perform.
01Know which AI tools and agents are in use
02Control access to business information
03Assign ownership and approval responsibilities
04Validate controls before wider adoption
Assessment and delivery scope
A practical path forward.
Work with IRIS to define the appropriate scope, evidence, and outcomes for your environment. Implementation follows verified product support, technical feasibility, and an agreed statement of work.
02PROTECT
Reduce sensitive-data exposure
Map prompts, uploaded files, retrieval sources, and outputs. Review classification, permissions, retention, and supported data-loss controls.
03GOVERN
Define ownership and acceptable use
Establish accountable owners, approved use cases, supplier review criteria, exception handling, and incident escalation.
04CONTROL
Constrain agent permissions
Apply least privilege to service identities and tools. Define approval gates for consequential actions and manage credentials throughout their lifecycle.
05VALIDATE
Test how systems behave under pressure
Agree controlled tests for prompt injection, unauthorized data access, and unsafe tool use. Document findings and remediation priorities.
06OPERATE
Monitor adoption and control changes
Plan audit trails, incident response, access reviews, and reassessment when models, tools, or connected data sources change.
Practical questions
Make an informed decision.
Does this cover AI we already use?
Yes. The discussion can start with existing employee tools, enterprise copilots, or internally developed applications. Scope depends on the systems and evidence available.
Is securing AI the same as using AI for security?
No. This page focuses on protecting AI systems and their use. Applying AI to security operations is a separate use case with its own controls.
Can a platform eliminate every AI risk?
No. Effective governance combines technical controls, process ownership, testing, and ongoing review. Platform coverage and limitations must be verified.
Industry perspective
The context behind the conversation.
Gartner includes AI security platforms in its 2026 strategic trends. IDC’s May 2026 European CISO analysis highlights agent security and governance as buying priorities.
These public references provide industry context. Engagement recommendations are tailored to your organization.
Plan your next step
Turn your priorities into a workable plan.
Bring your use cases, existing platforms, and business requirements. We will help define the next assessment or pilot.