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Sprint projectSep 13, 2026Trabzon

Task-Risk-Driven Access Control: Layered Containment for Agentic AI Systems

Oya ZORER · Team TULPAR

Submitted to AI Incident Response Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: Task-Risk-Driven Access Control: Layered Containment for Agentic AI Systems

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Drawing on the July 2026 Hugging Face incident — where autonomous AI agents escaped a test environment and reached production systems — we propose a layered security architecture that limits agent access to exactly what each task requires. The architecture has three parts: a system that labels tasks by risk level in advance, a lightweight filter that discards unnecessary requests early, and a single control point (proxy) that all access must pass through, triggering human review under abnormal traffic. Rather than trusting the agent's intent, we architecturally bound the harm it can cause from the outset.

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How much would this matter for AI safety if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical AI safety problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.

  1. The project tackles a real problem, overprivileged autonomous agents, and proposes a plausible agent-oriented synthesis of established security principles such as least privilege, default deny, centralized policy enforcement, scoped credentials, and human escalation. However, the submission does not yet offer a clearly differentiated technical contribution: the architecture is described at a high-level, and the paper does not include implementation, experiments, formal policy specification or comparison to existing authorization and containment approaches.

Cite this project

@misc{zorer2026taskriskdriven,
  title = {{Task-Risk-Driven Access Control: Layered Containment for Agentic AI Systems}},
  author = {Oya ZORER},
  year = {2026},
  month = sep,
  note = {Submitted to AI Incident Response Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/taskriskdriven-access-control-layered-containment-for-agentic-ai-systems-01yy}},
  url = {https://apartresearch.com/sprints/projects/taskriskdriven-access-control-layered-containment-for-agentic-ai-systems-01yy}
}

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