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Cyber Security

Attack Path Feasibility

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By NHI Mgmt Group Updated August 18, 2026 Domain: Cyber Security

The likelihood that a chain of weaknesses can be linked into a working compromise route. This is the core question in adversarial testing, because a weakness matters most when it can be operationalised into actual access, escalation, or impact.

Expanded Definition

attack path feasibility describes whether a set of weaknesses can realistically be chained into compromise. At NHI Management Group, this is treated as a practical security question, not a theoretical one: the issue is not whether flaws exist, but whether an attacker can move from initial access to privilege escalation, lateral movement, persistence, or impact without hitting a hard barrier. In risk work, feasibility sits between raw exposure and realised breach, which is why it is central to prioritisation.

The concept is closely related to attack path analysis, but not identical. Analysis maps the route; feasibility judges whether the route is workable given identity controls, segmentation, exploitability, detection pressure, and environmental constraints. That distinction matters in cloud, enterprise, and NHI-heavy environments where a weak credential, exposed secret, or permissive trust relationship may be enough to turn separate issues into a single compromise chain. For adversarial tradecraft context, mappings such as the MITRE ATT&CK Enterprise Matrix help describe the kinds of steps that can appear in a feasible chain.

Definitions vary across vendors when they blend feasibility with severity, likelihood, or exploit probability, so teams should keep the term anchored to chainability and operational reach. The most common misapplication is treating every discovered weakness as equally feasible, which occurs when teams ignore prerequisite access, control dependencies, and environmental blockers.

Examples and Use Cases

Implementing attack path feasibility rigorously often introduces investigative overhead, requiring organisations to balance richer context against the time needed to validate whether a route is truly exploitable.

  • A public-facing application flaw is only considered highly feasible if it can lead to credential capture, then pivot into an admin session or a trusted service account.
  • A leaked API key becomes a feasible path when the key has rights to enumerate secrets, modify workloads, or reach downstream systems.
  • An over-permissioned service principal in a cloud estate is more dangerous when it can be used to retrieve tokens, impersonate identities, or alter policy.
  • A phished user account is a low-value event until the account has access to an internal application that exposes session tokens, sensitive data, or privileged workflows.
  • In emerging AI environments, feasible abuse can involve tool abuse, prompt injection, or stolen agent credentials, which is why the MITRE ATLAS adversarial AI threat matrix is useful when the route crosses into model-adjacent systems.

Feasibility is also informed by operational evidence. When threat reports and advisories show how attackers actually combine mistakes, teams can test their assumptions against current tradecraft. Public reporting such as the Anthropic report on an AI-orchestrated cyber espionage campaign illustrates how tool access and workflow automation can be chained into practical abuse.

Why It Matters for Security Teams

Security teams use attack path feasibility to separate noise from credible exposure. Without it, vulnerability queues become inflated with findings that are technically real but operationally irrelevant, while genuinely dangerous chains remain hidden because their parts are reviewed in isolation. The term is especially important in identity-rich environments, where one weak secret, one excessive role, or one overly trusted integration can unlock the rest of the route. That is why feasibility often becomes a governance issue as much as a technical one.

For control mapping, feasibility aligns well with the intent of NIST SP 800-53 Rev 5 Security and Privacy Controls, because organisations need controls that reduce chainability, not just individual weakness counts. It also supports incident response and threat-informed defence by giving teams a clearer basis for prioritising hardening, privilege reduction, and path interruption. Where the concept intersects with adversary behaviour, CISA cyber threat advisories provide real-world context on current attacker patterns.

Organisations typically encounter the consequences only after a breach review shows that several “minor” issues formed one working route, at which point attack path feasibility becomes operationally unavoidable to address.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Agentic AI Top 10 and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-53 Rev 5 and NIST AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0ID.RA-1Risk is identified by understanding threats and vulnerabilities that can chain into compromise.
NIST SP 800-53 Rev 5RA-5Vulnerability monitoring supports judging which flaws are exploitable in context.
NIST AI RMFThe AI RMF supports evaluating practical harms that emerge when weaknesses are chained.
OWASP Agentic AI Top 10Agentic AI guidance addresses abuse paths involving tools, prompts, and execution authority.
OWASP Non-Human Identity Top 10NHI guidance highlights how secrets and trust relationships can form feasible compromise paths.

Use ID.RA-1 to validate whether discovered weaknesses can realistically combine into a working attack route.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on August 18, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org