Frontiers of Generative AI and Agent Security

Q: What does this research mean for the field?

The increasing real-world damage from cyberattacks targeting generative AI, particularly jailbreak attacks on large language models and emerging threats to AI agents, makes AI security an urgent necessity. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

Seira Hidano

doi:10.1587/essfr.20.1_6

June 30, 2026IEICE ESS FUNDAMENTALS REVIEWOpen Access

Frontiers of Generative AI and Agent Security

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Key Points

The aim is to address the rising security threats associated with the implementation of generative AI, particularly large language models.
Discusses recent trends in AI security focusing on large language models (LLM).
Analyzes a prominent type of attack called jailbreak and its latest techniques.
Explains security trends related to AI agents.
Identifies an increase in cyber attacks targeting generative AI.
Highlights the emergence of jailbreak methods as a significant threat.
Discusses various defensive techniques being developed against these threats.

Implication

This assessment highlights vulnerabilities in large language models and discusses security trends in AI agents, suggesting urgent measures are needed.

Abstract

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Cite This Study

Seira Hidano (2026) studied this question.

synapsesocial.com/papers/6a4750f45c29257aa25786f0 https://doi.org/10.1587/essfr.20.1_6

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Frontiers of Generative AI and Agent Security

Key Points

Implication

Abstract

Discussion

Cite This Study

Frontiers of Generative AI and Agent Security

Key Points

Implication

Abstract

Discussion

Cite This Study

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