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Identity for AI & NHI
Secure and govern machine, AI agent, workload, and non-human identities with enterprise-grade visibility, lifecycle management, and access control.
Closing the silent security gap
The fastest-growing identity population in any enterprise is not human. AI agents, bots, APIs, service accounts, workloads, and autonomous systems are proliferating at a pace that most IAM programmes were not designed to handle. These agentic systems that are capable of taking actions, making decisions, and interacting with other systems autonomously, require a fundamentally different approach to identity: one built for entities that act continuously, operate across multiple layers, and cannot be governed through traditional human identity controls.
Understanding the enterprise challenges
Lack of visibility into service accounts, APIs, and secrets
Long-lived credentials with excessive permissions
Secrets embedded in code, pipelines, and configurations
Weak governance across CI/CD and runtime environments
Rising compliance, audit, and insider risk exposure
Why This Matters
Modern AI agents operate across four distinct identity layers simultaneously: as users interacting with applications, as API clients calling services with OAuth credentials and API keys, as workloads accessing infrastructure using SPIFFE, WIMSE, and mTLS, and as devices and machines operating at the network layer. Each layer carries different credential types, different risk profiles, and different governance requirements. Organisations accelerating AI adoption without addressing these layers are creating a growing and largely invisible attack surface, one that AI-driven attackers are already probing at machine speed.
The Trevonix Approach
Trevonix establishes comprehensive governance frameworks for agentic AI and non-human identities across all four layers of the agent identity stack. We eliminate hardcoded credentials, implement secure authentication for AI agents across application, API, workload, and network layers, automate credential rotation, and provide continuous visibility into the full non-human identity estate. Our approach is built on emerging standards including SPIFFE, WIMSE, and OAuth for NHI, ensuring governance that is both technically robust and future-proofed for the agentic AI era.
Protect All Identities, People and Machines
What We Deliver
- Design and implementation of AI agents as first-class identities within the enterprise Identity Fabric.
- Registration within the Identity Fabric with ownership attribution to accountable individuals.
- Credential issuance using purpose-bound and time-limited tokens for secure agent authentication.
- Entitlement governance to ensure AI agents receive only the permissions required for authorised tasks.
- Periodic certification of AI agent access to validate permissions and maintain ongoing governance.
- Joiner-Mover-Leaver equivalent lifecycle management, including secure provisioning, role changes and clean decommissioning of AI agents.
Business Outcomes
- Every AI agent has a defined owner, governed lifecycle and complete audit trail.
- AI agents are provisioned with exactly the access required to perform their designated tasks.
- Identity governance is consistently extended across workforce, machine and AI identities.
- Credential misuse and orphaned AI identities are significantly reduced through lifecycle governance.
- Organisations strengthen compliance by maintaining complete visibility into AI identity ownership and access.
- AI adoption can scale confidently without compromising enterprise security, governance or operational control.
What We Deliver
- Engineer the runtime control plane for AI agent actions to ensure secure execution across enterprise environments.
- Implement delegated-authority models that define which individual an AI agent is acting on behalf of and what authority has been delegated.
- Enforce fine-grained and dynamic authorisation at the moment each action is performed.
- Secure agent-to-system communication, including Model Context Protocol (MCP) tool calls.
- Implement secrets brokering so AI agents gain trusted access without ever holding raw credentials.
- Apply policy-driven runtime controls to ensure every AI action is authorised before execution.
Business Outcomes
- Least privilege is enforced at execution speed across every AI agent interaction.
- Dynamic authorisation ensures every action is validated against enterprise policy before execution.
- The blast radius of compromised AI agents is significantly reduced through fine-grained access controls.
- AI agents securely access enterprise resources without exposing or storing sensitive credentials.
- Runtime governance strengthens trust in autonomous AI operations across enterprise systems.
- Organisations confidently enable AI-driven automation while maintaining continuous identity security and operational control.
What We Deliver
- Extend Identity Threat Detection and Response (ITDR) capabilities to secure AI agents and non-human identities.
- Establish behavioural baselines to monitor normal AI agent activity and identify suspicious behaviour.
- Detect anomalous tool calls, unusual data access patterns, credential misuse and prompt-injection-driven actions.
- Automate containment through token revocation, agent quarantine and rapid response workflows.
- Integrate Security Operations Centres (SOC) with agent-aware playbooks for AI-related incidents.
- Enhance enterprise visibility into AI identity risks through continuous monitoring and threat detection.
Business Outcomes
- AI agents that become compromised or misbehave are detected within minutes.
- Automated containment reduces the impact of machine-speed attacks before they escalate.
- Behavioural analytics improve the identification of anomalous AI activity across enterprise environments.
- Security teams gain faster, more effective response capabilities for AI identity threats.
- Identity threat detection is extended to protect both AI agents and non-human identities.
- Organisations strengthen operational resilience by proactively detecting and containing AI-driven security incidents.
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Eliminating Unmanaged Machine Identities Across the Estate
- Full inventory and classification of service accounts across application, infrastructure, and network layers
- Elimination of shared, static, and hardcoded credentials across all systems and pipelines
- Least-privilege enforcement and automated credential rotation at scale
- Continuous monitoring for anomalous machine identity behaviour and policy violations
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Secure Identity for Cloud and Distributed Workloads
- Workload identity federation using SPIFFE and WIMSE across cloud and hybrid environments
- Mutual TLS, token-based authentication, and secure API identity controls
- Secrets management and vaulting integrated with CI/CD pipelines
- Governance of API-to-API interactions with full audit trail and visibility
Our Clientele
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Compare Trevonix
Why Identity- First Approach
Identity acts as the control plane across users, applications, machines, and cloud services — enabling security and scalability across the enterprise.
Trevonix
Agentic AI coverage
Governance across all four agent identity layers: user, API, workload, and device
Standards alignment
Built on SPIFFE, WIMSE, OAuth for NHI, and mTLS for each identity layer
Credential security
Automated rotation, vaulting, and elimination of hardcoded credentials across all layers
Visibility
Full inventory and continuous monitoring across all NHI identity layers
AI readiness
Built from the ground up for agentic AI governance and autonomous system identity
The Others
Agentic AI coverage
Non-human identities treated as a single category without layer differentiation
Standards alignment
Proprietary or generic approaches not aligned to emerging NHI standards
Credential security
Static credentials with manual and inconsistent management
Visibility
Limited tracking with fragmented tooling and significant blind spots
AI readiness
Primarily user-focused with no native multi-layer NHI capability
VS
IAM Strategy & Advisory
Clarifies current identity state and next steps.
Identity Maturity Assessment
Evaluates your current IAM maturity and identifies gaps.
Identity-as-a-Service (IDaaS)
Delivers scalable, cloud-based identity platforms.
Interim IAM Leadership
Provides experienced leadership for IAM programmes.
10M+
Digital identities secured
500+
Enterprise Customers
100+
IAM professionals and growing
40,000+
Applications integrated successfully
1000+
Projects Delivered Globally
Partner Ecosystem
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"The pilot demonstrated clear value, saving time, reducing costs, and improving the shopfloor experience. A practical approach that helped identify the right solution quickly."
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"Trevonix keeps us ahead of IAM trends and evolving compliance standards. Their expertise ensures we stay aligned with the latest technologies and industry protocols."
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"A tailored IAM solution delivered where others failed. Strong technical expertise, reliability, and a proactive approach resulted in a far more efficient system. Looking forward to future engagements."
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"Trevonix turned a stalled PAM deployment into a secure, well-governed capability, eliminating shared passwords, strengthening controls, and improving audit visibility."
Secure identities.
Simplify access.
Manage continuously.
Govern.
Control.
Protect.
Secure identities.
Simplify access.
Manage continuously.
Govern.
Control.
Protect.
A global leader in Identity and Access Management (IAM) consulting and managed services, Trevonix specialises in delivering cutting-edge IAM solutions across a range of industries.
