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@article{205726,
        author = {Pritika Mehra},
        title = {Agentic AI for Autonomous Cyber Defense: Architecture, Evaluation, and Risk Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {8032-8034},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205726},
        abstract = {Agentic AI is shifting artificial intelligence from passive prediction to autonomous systems that can perceive, reason, plan, act, and use tools across digital environments. In cybersecurity, this shift is timely because defenders need faster triage, adaptive response, and safer automation against increasingly complex attacks, while recent reports note that cybersecurity leaders are investing more in AI and agentic defenses. This paper proposes a research framework for agentic AI in cyber defense, with emphasis on architecture, evaluation, and governance. It also addresses agent-specific risks such as tool misuse, cascading failures, prompt injection, and goal drift.},
        keywords = {agentic AI, cybersecurity, intrusion detection, autonomous systems, AI governance},
        month = {June},
        }