How should organisations reduce the risk of identity-based attacks?

Why This Matters for Security Teams

Identity-based attacks succeed because attackers do not need to defeat perimeter controls when they can borrow valid access. That is especially true for NHIs, where service accounts, API keys, tokens, and automation credentials often have wider reach than human users. NHIMG research shows Ultimate Guide to NHIs documents that 97% of NHIs carry excessive privileges, which means a single stolen secret can become a fast path to lateral movement, data access, or control-plane abuse. Current guidance from NIST Cybersecurity Framework 2.0 still points to asset visibility, access control, and continuous improvement as core outcomes, but teams often underinvest in the identity layer where abuse actually begins.

The practical risk is not only initial compromise. Weak identity lifecycle management lets attackers keep using access long after the first alert, especially when rotation, revocation, and privilege review are delayed. NHIMG’s 52 NHI Breaches Analysis is a reminder that exposed credentials, overprivileged service accounts, and poor offboarding repeatedly show up in real incidents. In practice, many security teams encounter identity-based attack paths only after unusual access patterns appear in logs, rather than through intentional lifecycle control.

How It Works in Practice

A strong reduction strategy starts with making every identity harder to reuse and every privilege easier to remove. MFA helps for human accounts, but for NHIs the bigger gains come from shortening secret lifetime, scoping permissions narrowly, and removing standing access wherever possible. JIT credential provisioning is especially effective because it issues access only for the task at hand and revokes it automatically when the task completes. That shifts the attacker’s window from persistent to brief, which is crucial when credentials can be copied instantly.

Operationally, the control stack should include:

• Inventory every service account, API key, certificate, and token, then map each one to an owner and business purpose.
• Replace long-lived secrets with short-lived tokens or ephemeral credentials where the platform supports it.
• Apply RBAC carefully, but do not rely on static roles alone when access patterns change by job, pipeline, or environment.
• Use PAM and Zero Standing Privilege so elevated access exists only during approved workflows.
• Review entitlements continuously and revoke access on offboarding, rotation events, or role changes.

For evidence-driven prioritisation, the 80% of identity breaches involving compromised NHIs cited in Ultimate Guide to NHIs — Why NHI Security Matters Now shows why this layer deserves immediate attention, while the AI-orientation in Anthropic — first AI-orchestrated cyber espionage campaign report illustrates how fast automated abuse can escalate once valid credentials are available. These controls tend to break down when credentials are embedded in CI/CD pipelines or code repositories because the secret is duplicated faster than the revocation process can respond.

Common Variations and Edge Cases

Tighter identity controls often increase operational overhead, so organisations have to balance security gains against deployment friction, developer productivity, and legacy compatibility. There is no universal standard for this yet in hybrid estates, especially where older applications cannot support short-lived tokens or clean secret injection. In those cases, best practice is evolving toward compensating controls such as narrower network reach, stronger monitoring, and faster rotation rather than pretending static credentials are acceptable indefinitely.

Another common edge case is third-party access. NHIMG notes that 92% of organisations expose NHIs to third parties, which means the attack surface often extends beyond internal teams and into supply-chain relationships. The most effective response is to treat third-party NHIs as time-bound, purpose-bound access paths, with explicit expiration and review. That approach aligns well with the zero trust direction in CISA cyber threat advisories and the identity-centric emphasis in MITRE ATLAS adversarial AI threat matrix, even though those sources address broader threat modelling than just NHIs. For AI-driven workloads, guidance is even less settled: autonomous agents may require intent-based authorisation and runtime policy evaluation, because static access rules cannot always predict what the system will try to do next.

Related resources from NHI Mgmt Group

• How can organisations reduce the risk of authentication downgrade attacks?
• How can organisations reduce the risk of token-based attacks in SaaS?
• How should teams reduce the risk of exposed AI credentials being abused?
• What is the difference between prompt injection risk and identity abuse in agents?