Builder, Defender, Breaker: The Case Against Removing the Human from the AI-Driven Security Lifecycle
arXiv:2607.03215v1 Announce Type: cross Abstract: Artificial intelligence has spread across the whole of the security lifecycle. The same family of models now writes application code, hardens it, and probes it for weaknesses, so that a single generative substrate increasingly performs all three roles at once. Enthusiasm for this convergence tends to treat full autonomy as the natural end point of partial assistance. This article argues that it is not. When the system that builds an artifact is drawn from the same distribution as the systems that defend and test it, the three roles inherit a co
The proliferation of advanced AI models capable of generating code and probing systems is making 'full autonomy' in the security lifecycle a contemporary discussion, leading to critical examination of its implications.
This article highlights a fundamental risk in the AI security lifecycle: monoculture vulnerability when the same AI family performs all roles, arguing for continued human oversight to prevent systemic failures.
The debate shifts from accelerating full AI autonomy in security to questioning its inherent risks and advocating for a human-in-the-loop approach, particularly where 'builder' and 'breaker' AIs share common ancestry.
- · Cybersecurity consultancies
- · Human security analysts
- · Hybrid AI-human security solutions
- · Organizations prioritizing robust defense
- · Purely autonomous AI security vendors
- · Organizations relying solely on monoculture AI security
- · Developers of fully integrated AI security platforms
Increased emphasis on human oversight and intervention in AI-driven security systems.
Development of diverse, multi-vendor AI security strategies to avoid single-point-of-failure risks.
Potential for new regulatory frameworks mandating human accountability and intervention points in critical AI security applications.
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Read at arXiv cs.AI