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Non-Human & AI Agent Identity Strategy

The Identity Problem Your Existing IAM Stack Wasn't Built to Solve

Non-human identities (service accounts, API keys, OAuth tokens, secrets, machine identities, and the new and rapidly growing class of AI agents) now outnumber human identities in most environments by 45-to-1 or more. They're responsible for a fast-growing share of breaches: the Snowflake credential incidents, the OAuth token compromises, the GitHub Actions OIDC issues, and the AI-agent-driven access escalations. They're also the population most organizations have governed least.


The IGA, PAM, and IAM platforms in your environment were designed for human users. They were not designed for the thousands of service accounts your DevOps team has spun up, the OAuth grants your SaaS platforms have accumulated, the secrets sprawled across your CI/CD pipelines, or the AI agents now operating with delegated authority on behalf of your employees, customers, and other agents.


The market has not converged on a single framework, vendor category, or operating model for non-human identity. Buyers are facing a fragmented vendor landscape, conflicting analyst guidance, and a problem space that's evolving faster than most security teams can keep up with.


Our Non-Human & AI Agent Identity Strategy service helps you cut through the ambiguity. We draw on TBDCyber's published research and direct engagement with the emerging vendor and standards landscape to help you frame the problem for executives, inventory, and assess your current state, develop strategy and ownership models, evaluate technology options, and oversee implementation. Vendor-neutral throughout, because TBDCyber doesn't sell or resell identity products.

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Our Approach

Non-Human Identity
Discovery & Risk Assessment

  • Discovery and inventory of non-human identities across the full estate: service accounts, API keys, OAuth tokens and grants, certificates, secrets in code and pipelines, machine identities, and AI agent credentials.
     

  • Coverage across SaaS, public cloud, private cloud, on-prem infrastructure, CI/CD systems, container and Kubernetes platforms, and emerging AI agent ecosystems.
     

  • Risk and exposure assessment: orphaned NHIs, shared secrets, over-permissioned tokens, unmonitored OAuth grants, and exposed credentials in repositories or logs.
     

  • Ownership identification: most organizations cannot tell you who is accountable for the average service account or token, and that's the first problem to fix.
     

  • Attack-path analysis showing how an adversary would chain compromised NHIs through your environment.




     

Strategy, Policy &
Ownership Framework

  • Executive-level framing of the NHI and AI agent problem space,  bringing the Board, the CISO, and engineering leadership to a shared understanding.
     

  • Strategy and policy development covering creation, ownership, lifecycle, rotation, scope, and decommissioning.
     

  • Governance and ownership model defining who owns what across security, IT, engineering, DevOps, application teams, and emerging AI initiatives.
     

  • Lifecycle architecture for NHIs: provisioning, ownership transfer, periodic review, rotation, and retirement, with realistic accommodation for the operational realities of how NHIs are actually created today
     

  • AI-agent-specific policy: delegated authority models, scope and time-bounding, audit and accountability, decommissioning, and acceptable use
     

  • Scope decisions: which NHIs require formal governance, which can be governed lightly, and which need to be eliminated

Vendor-Neutral Technology Landscape & Selection

  • Independent evaluation of the emerging NHI security category and adjacent and overlapping categories: secrets managers, CIEM platforms, IGA platforms extending to non-human populations, and SaaS posture management tools.
     

  • Fit analysis against your existing stack, cloud footprint, application landscape, and operating model.
     

  • Total-cost-of-ownership and integration complexity assessment, not just feature checklists.
     

  • Buy-versus-build decisions and, for some NHI use cases, determining when internal tooling is the right answer.
     

  • Honest assessment of where the vendor category is mature, where it's overhyped, and where the right answer today is to wait.








     

Implementation Planning &
AI Agent Identity Architecture

  • Phased implementation roadmap with realistic timelines, dependencies, resource requirements, and measurable success criteria.
     

  • Integration with existing identity infrastructure: IGA, PAM, secrets management, IAM, and SIEM/detection tooling.
     

  • AI agent identity architecture: delegated authority and scoping models, OAuth-for-agents and Model Context Protocol (MCP) authentication patterns, ephemeral credential strategies, agent-to-agent trust, and audit trails that tie agent actions back to the originating human or system.
     

  • Defense patterns against confused-deputy attacks, prompt-injection-driven privilege misuse, and agent impersonation.
     

  • Workload identity patterns for containers, Kubernetes, serverless, and CI/CD pipelines.
     

  • Metrics and KPIs that demonstrate program maturity to executives, boards, and auditors.
     

  • Optional implementation oversight or coaching as the program rolls out. We don't operate the program for you, but we can stay engaged through critical milestones.

Benefits

A Coherent Strategy in a Space Without One

The NHI and AI agent identity problem doesn't yet have a settled framework. We help you build one that fits your environment, your risk profile, and your operating model, and that holds up as the market matures.

Vendor-Neutral Guidance Through a Fragmented Market 

The NHI security category includes a dozen overlapping vendors and several adjacent categories, making competing claims. TBDCyber doesn't sell or resell any of them, so the recommendation reflects what's right for your environment, not what we get paid to recommend.

AI Agent Identity Covered, Not Just NHIs

Most NHI conversations stop at service accounts and secrets. The AI agent identity problem, delegated authority, scoping, audit, and defense against confused-deputy attacks are the next frontier, and it's already arriving in your environment. We cover both.

Advisory Model, Not Lock-In

We help you think, plan, select, and oversee implementation. We don't operate the program, sell you tooling, or lock you into a long-term managed service. The strategy and the program belong to your team.

Related Services

Need the broader identity architecture first? See Identity Strategy. Looking for governance and lifecycle of workforce identities? See Identity Governance & Lifecycle. Focused on traditional and modernized privileged access? See Privileged Access Management.

 

Need governance and policy for the AI itself, not just the agents' identities? See AI Governance.

Your Non-Human Identity Population Is Growing 30% a Year. Most Organizations Still Don't Know Who Owns Half of It.

Service accounts, OAuth grants, machine identities, secrets, and now AI agents — non-human identities are the fastest-growing population in your environment and the most likely source of your next incident. The frameworks, vendors, and operating models for governing them are emerging in real time, and getting it right requires more than a tooling decision.


TBDCyber helps you frame the problem, build the strategy, navigate the vendor landscape, and execute the program.


Talk to a Non-Human Identity Expert →

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