Continuous AI discovery
Maps AI agents, LLM connections, RPA bots and machine identities across the business.
IP Clarity managed AI security
Seceon aiTRiSM360
Discover, monitor and protect enterprise AI use—without losing visibility to Shadow AI.
Behavioural risk detection
Learns normal AI-use patterns and identifies unusual tools, sessions, uploads and data movement.
Real-time protection
Detects prompt injection, risky tool use and potential movement of sensitive information.
Automated response
Connects detections to Seceon OTM orchestration and response workflows to accelerate containment.
Close the Shadow AI blind spot
See how AI is really being used
Employees, software features and automated workloads can connect to AI services before security teams know they exist. aiTRiSM360 builds a live inventory of that activity and adds the context needed to distinguish approved business use from emerging risk.
AI Governance, Traffic Map and Tool Monitor views bring together the user, endpoint, application, session, access method, upload activity, clipboard use and outbound data volume in one investigation workflow.
One connected view
Endpoint→User→AI tool
- Discover
- Shadow and approved AI
- Understand
- Sessions, uploads and egress
- Act
- Policy, escalation and response
Built into the Seceon security platform
How aiTRiSM360 fits with OTM, aiSIEM and aiXDR
The platform foundation
aiTRiSM360 is a purpose-built module within Seceon Open Threat Management—not a replacement for it.
Correlation and investigation
AI-use observations can be combined with wider log, flow, identity, cloud and security telemetry.
Cross-domain protection
Extends endpoint and XDR coverage into AI agents, AI traffic, LLM services and Shadow AI risk.
Endpoint delivery
The client uses the same provisioning framework, with EDR, EPP and aiTRiSM shown as active endpoint components.
Risk management and governance
Turn AI visibility into practical control
Security and compliance teams can define what good AI use looks like, identify exceptions and retain evidence for management review. Policies can classify activity, adjust risk scores and trigger investigation or response workflows.
Privacy-first monitoring: plaintext prompts are not logged by default. Where prompt metadata is enabled, the guide describes tracking character counts and SHA-256 activity hashes instead of prompt content.
- Discover approved, monitored and unknown AI tools
- Track AI sessions, data egress, file uploads and clipboard activity
- Score risk by session, user, endpoint and organisational posture
- Create policies for Shadow AI, data protection and acceptable use
- Map controls to ISO 42001, ISO 27001, NIST RMF, GDPR and SOC 2
- Preserve audit evidence while keeping plaintext prompts private by default
The managed security workflow
Discover. Assess. Respond.
Discover
Build a continuous inventory of AI tools, agents, connections and affected endpoints.
Assess
Apply behavioural baselines, policy context, data indicators and operational risk scoring.
Respond
Escalate, tag, monitor or contain activity through integrated OTM and SOAR workflows.
Talk to IP Clarity
Request or book an AI Security Assessment
Tell us how your organisation is using AI and where you need greater visibility, control or governance. We will contact you to discuss the right next step.
Managed by IP Clarity
Ready to understand and govern AI use?
Talk to IP Clarity about bringing AI discovery, monitoring and risk management into your wider managed cyber security programme.