mlsanityData to 7 Oct 2026

Concepts for Securing Agentic AI Coding and the Terok Environment

arXiv 2608.22930 ↗First posted 24 Aug 2026cs.AI cs.SEcited by 0

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Abstract (arXiv)

Agentic AI is a fascinating new tool for software development. It is a huge step forward compared to "conventional" AI assisted coding, which in turn was a considerable breakthrough earlier. AI support through LLMs is a young and very fast-moving field. The "conventional" (non-agentic) flavor became useful and productive in early 2025 (around 18 months ago) and the agentic flavor followed in fall 2025 (approximately 9 months ago). Besides all its benefits and potential, it also carries some fundamental risks for IT security. And the agentic approach added very severe risks while making others much more dangerous. With all the motivation to explore this fascinating new tool we should not ignore the risks but actively address them. We present (I) an assessment of the IT security risks, (II) a concept for mitigating them without breaking its benefits, and (III) an overview about an implementation of our concept. In this very dynamic field this is likely not the final and once-and-for-all answer to the identified issues but still a substantial step forward in responsible usage of Agentic AI for software development. It should also be a contribution to the community to allow early and eager evaluation of the potential of agentic AI for software development without actually suffering from its implied IT security risks.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 11 references that are in the map. First posted on arXiv 24 Aug 2026.

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6 of 11 references.

References · 6

  1. 2025Natural Emergent Misalignment from Reward Hacking in Production RLcited by 111
  2. 2026A Trajectory-Based Safety Audit of Clawdbot (OpenClaw)cited by 15
  3. 2025When Developer Aid Becomes Security Debt: A Systematic Analysis of Insecure Behaviors in LLM Coding Agentscited by 7
  4. 2026Security in the Age of AI Teammates: An Empirical Study of Agentic Pull Requests on GitHubcited by 6
  5. 2026Just Ask: Curious Code Agents Reveal System Prompts in Frontier LLMscited by 3
  6. 2025Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Developmentcited by 2

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  1. 2025Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges
  2. 2026Connecting the Dots in Agentic AI Security: A Cross-Dimensional Threat Taxonomy, Evaluation Maturity, and Open Challenges
  3. 2026Agentic AI and the Industrialization of Cyber Offense: Forecast, Consequences, and Defensive Priorities for Enterprises and the Mittelstand
  4. 2025Systems Security Foundations for Agentic Computing
  5. 2025A Safety and Security Framework for Real-World Agentic Systems
  6. 2026SoK: The Attack Surface of Agentic AI - Tools and Autonomy
  7. 2026LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment
  8. 2026The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey