arXiv:2510.06445v3 Announce Type: replace Abstract: LLM-based agents are now used throughout cybersecurity. While these agents facilitate powerful and autonomous security applications, their autonomy opens up new attack surfaces, and the security community is actively building defenses to secure them. Yet the literature on this subject has grown quickly and unevenly. Existing surveys treat applications, threats, and defenses in isolation, leaving no unified account of how an agent's capabilities, vulnerabilities, and countermeasures interconnect. In this work we present the first holistic surv
The rapid deployment of LLM-based agents in cybersecurity necessitates a consolidated understanding of their vulnerabilities and defensive strategies, as evidenced by the quick and uneven growth of related literature.
This survey provides a critical, holistic view of agentic security, informing the development of more robust AI systems and mitigating potential systemic risks within increasingly autonomous security frameworks.
The unified understanding of agent capabilities, threats, and defenses shifts the approach from isolated studies to an integrated security paradigm for AI agents, impacting their design and deployment.
- · Cybersecurity researchers
- · AI development companies
- · Organizations adopting AI agents for security
- · Ethical hackers
- · Malicious actors targeting AI systems
- · Organizations with inadequate AI security frameworks
- · Developers neglecting agent security
Increased focus on secure AI agent development practices within the cybersecurity industry.
Standardization of security protocols and best practices for deploying autonomous AI agents across various sectors.
The emergence of specialized AI security assessment and auditing firms, leading to a new segment of the cybersecurity market.
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