Guest blog courtesy of JumpCloud
For two decades, the channel's security playbook was built around one target: the human credential. Phishing defense, password managers, and MFA are all designed to protect the person's logging in. However, that model no longer covers the entire attack surface as AI agents introduce a new class of non-human identities.
Cybercriminals have another target. Alongside employee passwords, they’re increasingly going after AI agents running with standing, over-privileged access while no one is watching the door. Google's threat researchers recently documented an actor using a multi-agent framework to harvest thousands of third-party credentials in under six hours. This isn't a theoretical risk. It is already emerging in the enterprise.
For partners, this shift is an opening. By bringing Agentic IAM capabilities to market, partners can capture high-margin security spend, protect client growth and position themselves to deliver high value consulting services aimed at consulting and monitoring AI access policies.
The Gap Attackers Are Already Exploiting
As organizations race to deploy AI, they're creating an attack surface most security stacks were never built to see. Traditional infrastructure was designed around a simple assumption: a human logs in, does something, and logs out. Agentic AI breaks every part of that model. Agents can share credentials rather than hold their own, silently inherit access, operate at machine speed with no established behavioral baseline, and act under identities that aren’t their own. Partners can help organizations close these gaps by giving every agent a distinct identity, enforcing least-privilege access, and putting governance and visibility around agents before they become embedded in critical workflows.
Today, many modern agents are running with shared API keys, inherited human credentials, and zero individual identity tracking. Recent IT research found only 33% of organizations have real visibility into AI agents in testing, and just 43% of those running agents in business-critical workflows. Fewer than half (45%) have role-based access policies governing what agents are allowed to do. More than half have no centralized kill switch to shut an agent down if it's compromised and partners are uniquely poised to help customers create, implement and manage AI policies that can minimize this risk.
Attackers are walking through this gap. When an ungoverned agent gets compromised, there's no scoped permission boundary to stop it. The attacker inherits whatever access the agent has, whether that's a CRM, a legacy database, or a production system. When agent actions are logged under human or service credentials, security teams often can't even tell what happened until the damage is done because they can not differentiate between the human user and the AI user. Partners conducting baseline auditing and ongoing governance can create, monitor and enforce human and non-human delineation to minimize or eliminate this attack vector.
Agentic IAM as the Answer
Non-human identities already outnumber human users in most enterprise environments, while AI deployment is moving far faster than the governance built to manage it.
Most organizations have no one responsible for closing that gap. Partners can close that gap and build a repeatable, high-margin service line around five concrete steps:
- Develop a policy framework and identify access levels for humans and non-humans based on their user role and responsibilities.
- Discover and register every AI agent in a formal identity system, so none operate invisibly or without a defined purpose.
- Assign an accountable human owner to each agent, ensuring every action can be traced back to a responsible party.
- Enforce least-privilege access, scoping each agent to only the systems and permissions its function requires.
- Monitor continuously and gate high-risk actions with human approval, catching deviations before they become incidents.
This is an advisory gap that channel partners are well positioned to fill, and it is what can separate a strategic advisor from a tool reseller.
From Cost Center to Growth Engine
This is where the channel has real leverage. AI legal regulations are becoming a more prevalent talking point. Partners who lead with Agentic IAM are turning identity control into the thing that lets clients adopt AI safely across hybrid and multi-cloud environments, instead of pumping the brakes on innovation. Partners can advise their clients on AI policy best practices and controls and help them implement and modify these policies on an on-going basis.
This helps partners to lead a conversation that isn’t "buy this tool," but "govern every actor in your environment, human and machine"? That's the shift many partners have yet to make, and it could help customers adopt AI securely without creating their next security exposure.
What This Means by Service Focus
- Standalone Service : As clients refresh infrastructure to support agentic workflows, Resellers have an opening to bundle "AI Readiness and Security" into that hardware/software refresh, turning a routine upgrade cycle into a higher-margin package rather than a commodity sale. Alternatively, partners with development skills can help customers create agents for automated workflows and ensure that those AI agents can be securely onboarded, offboarded and monitored as their function evolves or sunsets.
- On-going Services: Machine-identity risk allows MSPs to take on visibility into client fleets that clients themselves can't easily manage, reducing ticket volume tied to unmanaged or rogue agents while creating a recurring service that strengthens the ongoing client relationship.
- Advisory Services: The complexity of identity risk creates an immediate entry point through audits, assessments, and compliance oversight. This can evolve into a recurring, higher-value engagement. Rather than a one-time line item, it positions the partner as an ongoing voice in the client's strategic planning especially in areas that touch on compliance with regulatory frameworks
Controlling AI in the Future
Success with AI isn't measured by how many agents an organization deploys. It's measured by how well it can answer three questions for every one of them: Who owns it? What can it access? How quickly can it be shut down? Partners who can answer those questions on a client's behalf, and demonstrate it credibly, are offering something bigger than a point solution. They're offering control.
The channel built its last two decades of security revenue around protecting human credentials. The next two decades will be built around protecting everything else. Partners don't need to wait for a client's next breach to make that case. The data, the gap, and the opportunity are already here. The only question is who gets there first.
