Identity Sprawl Is Exposing the Limits of Traditional Security Models
Identity Sprawl Is Exposing the Limits of Traditional Security Models
Publish Date: 2026-06-28 04:12:00
Source Domain: www.cybersecurity-insiders.com
Using an unordered list, summarize the following article with between 4 and 8 key points.
A recent insight report based on practitioner feedback at the RSA Conference 2026 revealed a widening gap in enterprise security as organizations expand the access of non-human identities (NHIs) and AI-driven identities without the visibility and controls required to secure them. The ratio of machine and NHIs to human identities has grown to 92:1, yet in modern enterprise environments, 76% of AI identities are not properly governed.
These findings reflect a broader trend in the threat landscape. Identity has become a universal point of exploitation, with attackers increasingly targeting authentication and access controls rather than network perimeters. Inconsistent Multi-Factor Authentication (MFA) enforcement, fragmented identity tools and limited visibility into privileged credentials continue to create exploitable gaps across organizations around the world.
The data highlights an urgent need for modernization. Outdated authentication methods and incomplete identity governance leave organizations exposed to the same attack patterns year after year. As identity replaces the network perimeter, effective protection now depends on unified controls, centralized visibility and strong authentication reinforced by real-time monitoring and anomaly detection.
The Intersection of Increased AI Adoption, Identity and Security
According to McKinsey, nearly nine in 10 organizations now use AI in at least one business function. From financial services and healthcare to IT and manufacturing, AI is rapidly reshaping enterprise operations across all sectors. While the potential productivity gains are substantial, deployment and the explosive growth of AI agents also expands the cyber attack surface – often in ways security teams are unprepared to manage.
AI agents and automated systems rely on Non-Human Identities (NHIs), such as service accounts, API keys and automation tokens, to interact with enterprise infrastructure. These identities require permissions and access rights to function, making them just as critical, and often more dangerous, than human credentials when left unmanaged.
NHIs warrant different security and governance approaches than human identities. Human users are typically managed through centralized IT or HR processes with clear ownership and lifecycle controls. By contrast, NHIs are frequently created ad hoc by developers or automation tools, often lack clear ownership and are managed across fragmented systems. As AI agents proliferate, this imbalance is reshaping how trust, authorization and resilience must be enforced at scale.
The Risks of Unmanaged Non-Human Identities
The rapid growth of NHIs is not a new problem, but AI adoption is accelerating it dramatically. Without proper controls, these credentials become prime targets for attackers.
High-profile incidents – from SolarWinds to CodeCov to CircleCI – demonstrate how attackers have exploited poorly managed service accounts, tokens and secrets to gain persistent, undetected access. In many cases, credential abuse enabled lateral movement and long-term compromise.
Securing NHIs With the Right Controls
Despite years of warnings, many organizations still lack basic visibility into non-human credentials. Securing NHIs starts with applying the same foundational principles used for human access:
Enforcing least privilege access and limiting permissions to only what is necessary
Automating credential rotation to keep pace with identity sprawl
Regularly auditing usage to eliminate unused or excessive access
Adopting zero trust by default, assuming no identity – human or non-human – should be trusted implicitly
A modern Privileged Access Management (PAM) platform with integrated secrets management is critically important to operationalizing these controls. PAM provides centralized visibility, automated rotation and fine-grained access policies to protect both human and non-human identities from misuse or exposure.
Identity is the Control Point of Cybersecurity
Identity is now the defining battleground in cybersecurity. As organizations expand across hybrid, multi-cloud and AI-enabled environments, every user, service account and AI agent represents a potential entry point. Each unmanaged credential increases risk.
To achieve resilience against modern threats, security leaders must strengthen privileged access controls, modernize authentication and turn zero trust from strategy into daily practice. Organizations that lead in identity security and PAM are not only protecting access but building the foundation for secure, scalable growth in the age of AI.
Join our LinkedIn group Information Security Community!
