Identity Fusion Blog

When “Users” Aren’t Human: APIs, Bots, and Agentic AI as First-Class Citizens

Written by Joseph F Miceli Jr | Sep 30, 2025 9:03:59 PM

INSIGHT SERIES 4 of 4

Legacy IAM is now the weakest link in the enterprise chain. The “users” in your systems aren’t human at all, they’re APIs, bots, service accounts and the fast-emerging class of agentic AI. In many organizations, these non-human identities already outnumber people 10 to 1! Yet they remain the blind spot of traditional IAM, over-privileged, unmonitored, and ripe for exploitation.

This final chapter in this four-part series makes the case plain: survival won’t come from clinging to brittle, monolithic platforms. It will come from fabric, modular, orchestrated, real-time identity systems that recognize and govern the armies of NHIs shaping your digital future.

⚠️ Don’t get caught in yesterday’s model. The breaches are here, the regulations are sharpening, and the time to re-architect is now.

At the end of this article, claim your free copy of "Ghosts in the Machine: The New Age of Identity,"  a gift from Identity Fusion. This book is your guide to managing the unseen majority and building an IAM fabric strong enough for the age of APIs, bots, and AI today and into the future.

Introduction: The Invisible Majority

Walk into any boardroom, and executives will tell you how many employees they have. 20,000. 50,000. 100,000. They’ll nod solemnly about customer counts, maybe millions or tens of millions. These numbers feel impressive.

But here’s the truth most enterprises don’t say out loud: the fastest-growing population in their systems isn’t people at all. It’s non-human identities (NHIs), APIs, bots, service accounts, machine-to-machine connections, and, increasingly, agentic AI systems that act with autonomy.

In many organizations, NHIs already outnumber humans 10 to 1. Yet they’re governed with less rigor than a summer intern’s laptop login.

The result? An invisible majority running your enterprise, unmonitored, over-privileged, ripe for abuse. The attack surface has shifted, and most organizations haven’t caught up.

The Explosion of Non-Human Identities

Identity was once simple. A “user” meant a person: an employee, a contractor, a customer. You provisioned them, gave them a password, maybe a badge, and off they went.

But with cloud-native architecture, DevOps pipelines, and AI-driven workflows, the balance has flipped.

  • APIs: Modern apps expose dozens of endpoints. Each carries its own keys, tokens, and scopes. Enterprises often run tens of thousands of APIs.
  • Service Accounts: Databases, applications, and batch jobs rely on service identities. Most are provisioned once with god-mode privileges and then forgotten.
  • Bots: From RPA (robotic process automation) scripts to customer service chatbots, bots carry credentials to perform their tasks.
  • Agentic AI: The newest category, autonomous agents capable of chaining tasks, invoking APIs, and making decisions without human prompts.

Research by CyberArk found that 87% of organizations now have more NHIs than human identities. In some cases, NHIs outnumber humans by more than 45:1.

The identity explosion is real, and it is reshaping the threat landscape.

The Identity Blind Spot

Here’s the uncomfortable part: most IAM systems were never designed for this. They treat NHIs as oddities, tucked into corners of directories, provisioned with static secrets that never expire.

Problems abound:

  • Over-Privileged Accounts: Service accounts routinely run with full admin rights “just to make it work.”
  • Lack of Lifecycle Management: Humans leave companies. Their access eventually gets shut down. NHIs? They live forever.
  • Key Sprawl: API tokens litter source code and GitHub repos. Attackers scrape them within minutes.
  • Zero Visibility: Most enterprises can’t even count their NHIs, let alone govern them.

In short: we have built sprawling empires on identities we can’t see, don’t track, and don’t control.

APIs: The New Front Door for Attackers

APIs are the lifeblood of modern business. They connect services, enable integrations, power mobile apps, and feed ecosystems. But they’re also a favorite target.

The OWASP API Top 10 lists the most critical risks: broken object-level authorization, excessive data exposure, mass assignment, broken function-level authorization. Translation: APIs are often shipped insecure, with poor identity controls.

The Verizon DBIR 2024 highlights API abuse as one of the fastest-growing breach vectors. Attackers love APIs because:

  • They often bypass traditional defenses.
  • They’re poorly monitored.
  • They grant direct access to sensitive data.

The MOVEit breach (2023) was a painful reminder. Attackers exploited vulnerabilities in the widely used file transfer API, triggering one of the largest mass data breaches of the decade. Sensitive records from governments, banks, and universities were siphoned out at scale.

APIs aren’t just endpoints. They’re identities. And most organizations don’t treat them that way.

Bots and Service Accounts: The Forgotten Workforce

Bots don’t complain. Service accounts don’t take vacations. They just run. And that makes them dangerous.

In too many enterprises, service accounts are:

  • Shared across multiple systems.
  • Hard-coded into scripts.
  • Provisioned with domain admin rights because no one wanted to troubleshoot.

These accounts are gold to attackers. Breach one, and you often inherit unlimited privileges. Because there’s no human behind the account, unusual behavior doesn’t trigger alarms.

Consider the 2020 SolarWinds breach. Attackers compromised build system identities, service accounts with deep privileges, and used them to inject malware into software updates. It was one of the most devastating supply chain attacks in history. Not because of network vulnerabilities, but because of poorly governed non-human identities.

Agentic AI: The New Wildcard

If APIs and bots are already difficult, agentic AI raises the stakes further.

Unlike traditional bots, agentic AI systems don’t just follow scripts. They reason. They chain tasks. They decide which APIs to call. In some architectures, they can even request new privileges or spawn additional agents.

This autonomy is powerful. It enables breakthroughs in automation, customer service, and decision-making. But it also introduces a nightmare scenario: identities that create and replicate themselves.

Without governance, you could wake up to find an army of AI agents running inside your enterprise, with access rights no one understands. And if one of those agents is compromised? You’re not just dealing with a rogue account. You’re dealing with an intelligent adversary embedded in your own systems.

Why Traditional IAM Can’t Handle NHIs

IAM 2.0 was built for humans. Usernames. Passwords. Group memberships. Annual access reviews. None of that scales to NHIs.

  • Humans leave a trail. They sign in, they log tickets, they appear on org charts. NHIs don’t.
  • Humans change jobs. Their access gets updated. NHIs often get created for a project and then forgotten.
  • Humans can be challenged. You can prompt them for MFA. Bots can’t fish a phone out of their pocket.

Trying to shoehorn NHIs into human-centric IAM is like trying to fit a jet engine into a horse carriage. Wrong tool, wrong assumptions.

The Principles of NHI Governance

IAM 3.0™ recognizes NHIs as first-class citizens. That means building governance around their unique characteristics.

  1. Provision with Least Privilege. No more “just give it admin rights.” Define precise scopes for APIs and bots.
  2. Monitor Continuously. Don’t wait for annual reviews. Track behavior in real time, just as with passive authentication for humans.
  3. Automate Lifecycle Management. NHIs should be created, rotated, and retired automatically, not left lingering.
  4. Audit and Classify. Know how many NHIs you have, where they live, and what they do.
  5. Segment Risk. Not all NHIs are equal. Some run low-risk batch jobs. Others touch critical infrastructure. Treat them differently.

Case Studies: When NHIs Go Wrong

  • GitHub Token Leaks: Developers push API keys into public repos. Attackers scrape them within minutes, often using automated scanners. One leaked key can expose entire cloud environments.
  • Tesla (2018): Attackers compromised a Kubernetes console left exposed, stealing API credentials and using Tesla’s infrastructure to mine cryptocurrency.
  • Healthcare Bots: In multiple cases, RPA bots in hospitals were provisioned with broad EHR access. When compromised, they became conduits for sensitive patient data leaks.

The common denominator? Non-human identities left unmonitored, over-privileged, and invisible.

The Future: AI Monitoring AI

As agentic AI proliferates, human oversight won’t scale. The future will require AI systems monitoring AI identities.

Imagine AI-driven governance engines that:

  • Automatically classify NHIs at creation.
  • Monitor behavioral baselines for bots and APIs.
  • Detect anomalies in agentic AI decision-making.
  • Enforce real-time revocation of privileges.

This isn’t science fiction. Early versions already exist in anomaly detection platforms. The future is autonomous governance, machines watching machines, because humans can’t keep up.

The Regulatory Wave

Regulators are catching on.

  • The EU’s NIS2 directive explicitly calls out API and machine identity security as critical.
  • The U.S. Executive Order on Improving the Nation’s Cybersecurity (2021) mandates stricter controls on machine-to-machine communication.
  • Industry standards like PCI DSS v4.0 and HIPAA 2023 updates emphasize API protection and non-human identity governance.

Enterprises that ignore NHIs aren’t just risking breaches. They’re risking regulatory penalties.

The Business Case: Beyond Compliance

Governing NHIs isn’t just about security. It’s about resilience and trust.

  • Operational Continuity: A compromised service account can halt operations. Proper governance prevents outages.
  • Customer Trust: Breaches involving API abuse directly erode brand trust. Customers don’t care whether it was a “human” or “bot” that caused it.
  • Innovation Enablement: With strong governance, enterprises can safely unleash agentic AI to drive automation and growth. Without it, innovation is paralyzed by risk.

The Cultural Shift: Seeing the Unseen

Perhaps the greatest challenge is perception. Executives instinctively think about human users. They count employees, contractors, customers. They don’t instinctively think about the 200,000 API keys silently running their enterprise.

The cultural shift requires reframing: your “users” aren’t just people. They’re machines. And unless you treat them as first-class citizens, you’re governing less than half your enterprise.

What Leaders Must Do Now

  1. Count Your NHIs. Inventory APIs, service accounts, bots, and AI agents. If you don’t know how many, you’re already at risk.
  2. Classify Them. Which touch sensitive data? Which have admin rights? Which are forgotten?
  3. Implement Lifecycle Automation. Create, rotate, retire. No static forever accounts.
  4. Adopt Continuous Monitoring. Treat NHI behavior as you treat human behavior, baseline, detect anomalies, adapt in real time.
  5. Plan for Agentic AI. Don’t wait until AI agents multiply. Build governance models now.

Conclusion: The Armies You Don’t Govern Will Govern You

The silent truth of the digital era is that your largest workforce isn’t human. It’s non-human. APIs, bots, and agentic AI already outnumber people in your systems. They carry privileges, make decisions, and shape outcomes.

Left ungoverned, they are the perfect camouflage for attackers. Governed properly, they are your greatest enablers of scale and innovation.

The choice is stark. Treat NHIs as first-class citizens of identity or wake up to find your enterprise run by invisible armies you don’t control.

In IAM 3.0™, the frontier is clear: the future belongs to those who govern the users who aren’t human.

 

Reserve Your Free Copy of "Ghosts in the Machine: The New Age of Identity"

 

Additional Articles in this Series

The Death of the Old Guard: Why Todays Identity and Access Management Can't Survive the AI Age

The Silent Revolution

Fabric, Not Fortress: Building IAM for Modular Orchestration