Security and Privacy in Agentic AI: Grand Challenges and Future Directions
Adam Jenkins, Agnieszka Kitkowska, Caterina Maidhof, Diego Paracuellos, Francesco Sovrano, Gonzalo Gabriel Mendez, Guillermo Suarez-Tangil, Hana Kopecka, Isabel Wagner, Isabel Barbera, Javier Carnerero-Cano, Jide Edu, Jose Luis Martin-Navarro, Jose Such, Josep Domingo-Ferrer, Juan Carlos Carrillo, Kopo Marvin Ramokapane, Mark Cote, Pablo Vellosillo, Ramon Ruiz-Dolz, Rongjun Ma, Ruba Abu-Salma, Sameer Patil, William Seymour, Xiao Zhan
Why It Matters
What makes this one worth your time
Understanding the security and privacy implications of agentic AI is crucial for developing safe and reliable AI systems.
The paper outlines critical security and privacy challenges in agentic AI.
Summary
The paper identifies key challenges and future research directions in the security and privacy of agentic AI, based on discussions among thirty experts from various sectors.
Key contributions
- Identification of key challenges in security and privacy for agentic AI.
- Proposals for future research directions based on expert consensus.
Notable insights
- The collaborative approach involving experts from academia, industry, and government may yield a comprehensive perspective on emerging risks.
- The focus on 'agentic AI' suggests a nuanced understanding of AI's evolving capabilities and associated risks.
Possible limitations
- Not stated in the abstract.
Abstract
arXiv:2607.06608v2 Announce Type: replace-cross Abstract: We present key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise that brought together thirty leading international experts from academia, industry, and government to engage in focused discussions and collaborative exercises on the emerging risks associated with the growing agency of AI.