Authored by Ravinder Arora, CISO & DPO, Infogain
For years, identity security was primarily associated with people. Employees, contractors, and partners accessed systems, and security teams built processes around onboarding, offboarding, and privilege management. But in today’s cloud-first, DevOps-driven world, the definition of identity has changed dramatically.
Applications, APIs, workloads, bots, IoT devices, service accounts, and machine learning models all require their own credentials to communicate and function. These are non-human identities (HNIs), and they now vastly outnumber human identities in modern enterprises. Research suggests that in large cloud environments, the ratio of non-human to human identities can easily exceed 10:1, and in some cases, it’s closer to 50:1.
This non-human identity surge presents one of the most pressing, yet often overlooked, security challenges of our time. While organizations have spent decades maturing human identity governance, HNIs remain under-managed, creating fertile ground for attackers.
Why Non-Human Identities Matter
Every HNI—whether it’s an API key, service principal, Kubernetes service account, or RPA bot—has access rights attached. In many cases, these rights are broad, long-lived, and rarely reviewed. If compromised, an attacker can leverage them to move laterally, exfiltrate data, or manipulate systems without detection.
High-profile breaches highlight the stakes. The SolarWinds attack (2020) exploited build system credentials to poison software updates, granting attackers access to thousands of organizations. In the Uber breach (2022), a leaked GitHub token exposed privileged cloud infrastructure. The Codecov supply chain attack (2021) enabled threat actors to harvest secrets and API keys from customer CI/CD environments.
What makes these incidents particularly dangerous is that they did not rely on phishing or compromising human users. Instead, they targeted weakly governed machine credentials—a growing Achilles’ heel of digital enterprises.
Challenges in Securing HNIs
Explosive Growth
DevOps and cloud automation generate new service accounts and tokens continuously.
Without controls, this leads to “identity sprawl,” where organizations don’t even know how many HNIs exist.
Lack of Ownership
Unlike human identities tied to HR systems, HNIs often lack clear owners. Who is accountable for a cloud role created in a CI/CD pipeline months ago?
Over-Privilege
To “make things work,” developers frequently assign broad permissions (e.g., admin roles, wildcard policies). These excessive privileges persist unnoticed.
Persistence
API keys, secrets, and certificates often live indefinitely. Rotations are manual or forgotten, leaving long-lived credentials exposed.
Limited Visibility
Traditional IAM/PAM tools focus on humans. HNIs, especially cloud-native identities, often escape monitoring and governance.
A Lifecycle Model for HNI Security
To tame the surge, organizations must adopt a lifecycle approach—mirroring human identity governance but adapted for machines.
Provisioning
Every HNI must be registered in a central catalog at creation.
Mandatory metadata: owner, team, environment, purpose, and expiry date.
Default to least privilege and short-lived credentials.
Governance
Enforce strong secrets management: no hardcoded credentials, no plaintext storage.
Apply automated rotation policies for API keys, tokens, and certificates.
Conduct regular access reviews to eliminate over-privileged roles.
Monitoring
Implement anomaly detection to flag unusual usage (e.g., a service account accessing resources it never touched before).
Continuously reconcile active identities against the catalog to spot orphans.
Decommissioning
Automatically revoke credentials when workloads are decommissioned or expiry dates pass.
Ensure “zombie” accounts don’t linger after projects end.
This lifecycle ensures that every machine identity is born securely, governed continuously, and retired responsibly.
Policy-as-Code: Shifting Security Left
One of the most effective ways to secure HNIs is embedding rules directly into the development pipeline through policy-as-code.
Define rules in code (using frameworks like OPA, Sentinel, or Kyverno):
Example: “All non-human identities must have an owner, expiry ≤ 90 days, and cannot request wildcard permissions.”
Integrate into CI/CD pipelines: Block deployments that attempt to create insecure identities.
Version-control policies: Policies can be audited, tested, and continuously improved, just like software code.
By shifting identity checks “left,” developers receive feedback early. Instead of security teams discovering over-privileged service accounts months later, insecure configurations are prevented at the source.
Continuous Compliance: Staying Secure Over Time
Policies alone are not enough—identities drift over time. A service account created with limited access may quietly accumulate new privileges. A forgotten API key may remain active long after its service is retired.
Continuous compliance ensures that all non-human identities are continuously validated against defined policies:
Automated scanners detect violations (e.g., expired rotation, excessive privileges).
Alerts or automated remediation reduce manual effort.
Dashboards provide auditors with real-time visibility into compliance status.
This not only strengthens security but also helps organizations demonstrate accountability for regulatory frameworks like ISO 27001, SOC 2, or NIST CSF.
Culture: The Human Factor in Non-Human Identity Security
Technology and governance are powerful, but the true differentiator is culture. Developers, engineers, and DevOps teams must see HNI security as part of their daily responsibility.
Shift-left mindset: Engineers integrate secure identity practices just like unit testing.
Awareness: Teams recognize that an exposed API key is as valuable to attackers as a stolen user password.
Collaboration: Security, DevOps, and compliance teams work together, not in silos, to build trust into machine-to-machine communication.
Organizations that succeed will cultivate a culture where “identity is the new perimeter” applies equally to humans and machines.
Looking Ahead: What Will Define the Winners?
Fast forward three years, and the winners in managing non-human identities will be defined by their ability to combine:
Technology: Automated discovery, secrets management, AI-driven anomaly detection.
Governance: Standardized policies, lifecycle ownership, continuous compliance.
Culture: A shift-left mindset where developers treat HNIs with the same care as human credentials.
Those who succeed will close one of the fastest-growing gaps in enterprise security. Those who don’t risk repeating history—allowing attackers to bypass expensive defenses simply by stealing a forgotten service account key.
Conclusion
The surge in non-human identities is both inevitable and unstoppable. Automation, AI, and cloud-native architectures will only increase the reliance on machine-to-machine communication. But with this growth comes risk: each unmanaged HNI is a potential backdoor for attackers. By adopting a lifecycle model, embedding policy-as-code, enforcing continuous compliance, and fostering a culture of security ownership, organizations can bring order to the chaos. Securing the non-human identity surge is not optional—it is the next frontier of cybersecurity. Enterprises that master it will not only protect themselves from breaches but also unlock the full potential of digital transformation with confidence.
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