Identity has become the primary attack vector in contemporary cyberattacks. Threat actors routinely target identities, using stolen credentials and other techniques to breach systems, traverse networks, exfiltrate data and carry out attacks.
Credential abuse plays a role in 39% of breaches according to a Verizon 2026 Data Breach Investigations Report. And according to IBM’s 2025 Cost of a Data Breach Report it takes an average of 246 days to identify and contain these types of breaches.
Enterprises are managing more identities than ever before. Workers, developers, IT admins, contractors, machines, automation tools and AI agents all require secure access to enterprise systems, creating a complex, continuously changing identity ecosystem.
For most enterprises, the challenge is not simply the number of identities but the ability to govern them consistently. Today, many companies rely on a collection of independent identity and access management (IAM) solutions, privileged identity security tools and other security technologies to manage identities and control access to critical applications and services scattered across hybrid and multicloud environments. Over-permissioned accounts, standing privileges and visibility gaps are commonplace. In a 2026 Delinea Identity Security Report, 90% of decision-makers admitted to having at least some sort of identity visibility gap.
A 2025 cyberattack on British retailer Marks & Spencer shows how identity-based attacks can quickly escalate into major business disruptions. Attackers used social engineering ploys to gain illicit access to a legitimate account and spread ransomware across the retailer’s network. The attack, which disrupted operations for weeks and shut down online shopping, was estimated to cost the company approximately £300 million or about 31% of its annual operating profit.
AI agents introduce unprecedented security challenges. Unlike traditional machine identities, they can access multiple systems simultaneously, invoke other agents and execute complex workflows at machine speed. Unlike conventional scripted automation, agentic AI system behavior is non-deterministic, making it difficult to predict what resources agents will access or what actions they will perform.
Identity security helps organizations improve their overall security posture and reduce risk by providing full visibility and enforcing the principle of least privilege (PoLP) for every identity across the extended enterprise, including AI agents. The most effective identity security implementations continuously evaluate and authorize access based on policy and real-time contextual information.
Every identity with persistent, privileged access is a standing target. The credentials don't have to be actively in use for the risk to exist. A dormant service account, a CI/CD pipeline running on long-lived credentials or an AI agent granted broad permissions during deployment can all become entry points for an attacker.
According to the 2026 Delinea Identity Security Report, organizations are more than twice as likely to grant NHIs and AI agents long-lived credentials as they are to use just-in-time authorization. Only 8% of respondents said they use ephemeral credentials.
ZSP was originally applied to human administrators, but the most urgent need today is for AI agents. Unlike traditional automation scripts, which execute pre-programmed steps, AI agents can make contextual decisions at runtime. They can determine which systems to interact with, request additional access, invoke new tools and trigger privilege changes on their own. A single agent with standing privileges can move across multiple systems at machine speed, spreading damage far faster than security teams can detect and mitigate.
Least privilege defines how much access an identity should have, while zero standing privilege adds a time dimension. An identity can hold a minimal set of permissions and still pose a risk if those permissions are always available. ZSP reduces that risk by requiring that access not persist indefinitely.
No security program can completely eliminate credential theft and abuse. Users can still fall for clever phishing attacks. And disgruntled employees can still share credentials with threat actors.
Zero standing privilege limits what an attacker can do with a compromised credential once they have it. It reduces the blast radius, limiting a threat actor's ability to move laterally and expand the scope of an attack. When an account holds no standing privileges, a stolen credential is of limited value.
Identity security is an operational model built around three interconnected functions: visibility, posture and control. Visibility uncovers what identities exist, including privileged identities. Posture determines which of them carry the greatest risk. Control enforces what they're allowed to do.

With just-in-time access, humans, machines and AI agents are granted privileged access to systems and resources only when needed, scoped to the specific task, for a defined period. When an identity needs elevated privileges, it submits a request and justification through an automated workflow. The request is evaluated against a predefined policy. A low-risk request might be approved automatically, while a high-risk request might be routed to a person for approval. Once approved, an ephemeral credential is issued for the life of the session. The identity receives only the permissions necessary to complete the approved task and nothing more.
In well-designed JIT implementations, policy is continually evaluated throughout the active session. If context changes during a session, such as a policy update, a change in device posture , or a security event, the session can be terminated immediately.
When the approved task is complete or the authorized time window expires, privileged access is removed automatically and the credential is destroyed. The identity returns to its normal operating permissions, leaving no standing privileged access available for an attacker to exploit. The next time elevated access is required, the evaluation process begins again.
Enterprises typically operationalize identity security using a mix of specialized components for managing identities across the IT estate. In the most effective programs, the components operate in a unified fashion.
Component |
Function |
Functional Pillar |
Discovery and inventory tools |
Continuously identifies, catalogs and maps every human and non-human identity, along with the permissions, relationships and resources associated with each identity across on-premise, cloud and SaaS environments. | Visibility |
Identity security posture management |
Analyzes what identities do against what they're entitled to do, surfacing over-privileged, dormant and misconfigured accounts. | Posture |
Identity threat detection and response |
Monitors identity behavior in real time looking for anomalous logins, credential stuffing, lateral movement and other suspicious activity. | Posture |
Just-in-time access |
Grants access to a specific system or resource only for the time a task requires. | Control |
Privileged Access Management |
Secures, monitors and controls access to sensitive accounts like admin, root and service accounts. | Control |
Secrets management |
Secures, rotates and audits the API keys, tokens and certificates NHIs use to authenticate. | Control |
Identity governance and administration |
Defines who should have access to what and manages that access through onboarding, role changes and offboarding. | Control |
PAM is a foundational component of most identity security programs. It protects the identities that present the greatest risk by vaulting privileged credentials, enforcing privileged session controls and maintaining audit trails for regulatory compliance and forensic investigations.
Identity security builds on that foundation. In addition to privileged identity management, it governs standard (non-privileged) user accounts and SaaS accounts, as well as AI agents and other NHIs across the enterprise. It also addresses broader challenges such as identity governance, posture assessment and threat detection.


Zero trust is a security model built on the principle of never trust always verify. With zero trust, every access request is evaluated on its own merits regardless of whether that request originates from inside or outside the enterprise.
Identity security supports zero trust by enforcing the principle of least privilege and granting access based on policy and real-time contextual information rather than relying solely on traditional authentication methods.
Building an effective identity security program is less about selecting individual technologies and more about introducing a consistent and cohesive operating model. Most organizations already have many of the required capabilities in place. The challenge is connecting them through a common framework that provides continuous visibility, posture assessment, and control for every identity across every environment.
