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18/08/2026 2:38 pm
TL;DR: Attackers will exploit cloud feature releases, CI/CD pipelines, AI agents, and identity weaknesses faster than manual controls can adapt, with identity drift and over-permissioned automation becoming the central security problem, according to OFFENSAI. The underlying pattern is clear: organisations that still depend on periodic review will keep losing ground to continuous validation failures.
NHIMG editorial — based on content published by OFFENSAI: Cybersecurity Predictions 2026: How AI and Security Attacks Will Evolve
By the numbers:
- 72% of organisations have experienced or suspect they have experienced a breach of non-human identities, with 46% confirmed and 26% suspected.
- Only 5.7% of organisations have full visibility into their service accounts.
- 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time.
Questions worth separating out
Q: What breaks when cloud identity drift is not continuously validated?
A: When cloud identity drift is not continuously validated, access decisions stop matching the live environment.
Q: Why do service accounts and automation tokens increase breach impact when they are over-privileged?
A: Because they can move data and trigger actions at machine speed without the friction that often limits human accounts.
Q: What do security teams get wrong about AI access risk?
A: Many teams focus on the model while ignoring the identity path that reaches it.
Practitioner guidance
- Implement continuous identity validation for cloud change events Tie every new cloud service, permission change, and trust relationship to automated validation so drift is detected as soon as it appears.
- Map and constrain all automation identities in CI/CD Inventory build tokens, workflow identities, deployment accounts, and artifact permissions.
- Apply lifecycle governance to service accounts and agent permissions Track owners, purpose, approval scope, rotation date, and offboarding status for every non-human identity and AI tool account.
What's in the full article
OFFENSAI's full article covers the operational detail this post intentionally leaves for the source:
- The article breaks down the specific 2025 cloud incidents that shaped each 2026 prediction, including the identity and control-plane patterns behind them.
- It details the CI/CD attack patterns behind stolen tokens, zombie workflows, and build-path abuse.
- It expands the AI section into practical defensive uses of AI for red teaming and exposure validation.
- It lists the concrete 2026 actions for cloud, supply chain, AI, and identity teams in the source author’s own structure.
👉 Read OFFENSAI's cybersecurity predictions for 2026 on cloud, AI, and identity risk →
Identity drift in 2026: are your cloud and NHI controls keeping up?
Explore further
18/08/2026 3:23 pm
Identity drift is becoming the new cloud attack surface. The article is right to frame cloud risk around speed, not just misconfiguration volume. In modern environments, the problem is not that teams never define access rules, but that service relationships and permissions mutate faster than governance can verify them. That creates a verification trust gap between intended access and live access. Practitioners should treat every new cloud feature as an identity change event, not merely a deployment event.
A question worth separating out:
Q: Who is accountable when a CI/CD identity is abused?
A: Accountability sits with the team that owns the pipeline identity, the development process that granted it, and the governance function that allowed broad access to persist. For machine identities, responsibility is shared across build, security, and platform owners because the access is operational, not personal.
👉 Read our full editorial: Cybersecurity predictions for 2026 point to identity drift as the risk
