Beyond Models: Building Trusted AI in the Age of Autonomous Agents
Abstract
This presentation introduces the emerging paradigm of multi-agentic AI in cybersecurity, where systems evolve from passive tools to autonomous decision-making entities. This explores the rise of agentic AI and its transformative impact on modern cybersecurity. As AI systems evolve from assistive tools into autonomous agents capable of independent decision-making and action, they introduce a new class of dynamic, fast-moving, and highly adaptive threats. The session examines the architecture and behavior of these agents, highlighting critical vulnerabilities that emerge from autonomy, orchestration, and trust dependencies. It presents the concept of a "lethal trifecta" of risks that redefine traditional security boundaries. Through practical scenarios, the workshop illustrates how adversarial agents exploit interconnected systems and data flows at scale. It then outlines a defense-first approach grounded in observability, governance, and secure infrastructure design, emphasizing a shift toward "secure-by-design" principles. The discussion also addresses the evolving balance between human oversight and machine autonomy. Participants will gain actionable frameworks to design resilient, trustworthy agentic systems and transition toward proactive, self-healing cybersecurity models.
- Published in
- Proceedings of the Raptors Conference, Vol. 1 (2026)
- Conference
- Raptors Conference 2026, 21 October 2026, online
- Accepted
- 2026-09-12
- DOI
- https://doi.org/10.68495/rc.2026.C025
- Presentation
- Slides (PDF)
- Licence
- © 2026Harsh Verma. Published under Creative Commons Attribution 4.0 International (CC BY 4.0).
- Publisher
- Hackathon Raptors, Community Interest Company 15557917, London, United Kingdom
- Permanent address
- https://proceedings.raptors.dev/verma-trusted-ai-autonomous-agents
Open access. Every entry in the Proceedings is free to read, with no charge to authors and no charge to readers. Slides are served from this site, so they stay available at the paper's permanent address.
Cite this paper
Harsh Verma (2026). Beyond Models: Building Trusted AI in the Age of Autonomous Agents. Proceedings of the Raptors Conference, Vol. 1 (2026). Hackathon Raptors, London. https://doi.org/10.68495/rc.2026.C025
@inproceedings{raptors2026-c025,
title = {{Beyond Models: Building Trusted AI in the Age of Autonomous Agents}},
author = {Verma, Harsh},
booktitle = {Proceedings of the Raptors Conference},
volume = {1},
year = {2026},
publisher = {Hackathon Raptors},
address = {London, United Kingdom},
doi = {10.68495/rc.2026.C025},
url = {https://doi.org/10.68495/rc.2026.C025},
abstract = {This presentation introduces the emerging paradigm of multi-agentic AI in cybersecurity, where systems evolve from passive tools to autonomous decision-making entities. This explores the rise of agentic AI and its transformative impact on modern cybersecurity. As AI systems evolve from assistive tools into autonomous agents capable of independent decision-making and action, they introduce a new class of dynamic, fast-moving, and highly adaptive threats. The session examines the architecture and behavior of these agents, highlighting critical vulnerabilities that emerge from autonomy, orchestration, and trust dependencies. It presents the concept of a "lethal trifecta" of risks that redefine traditional security boundaries. Through practical scenarios, the workshop illustrates how adversarial agents exploit interconnected systems and data flows at scale. It then outlines a defense-first approach grounded in observability, governance, and secure infrastructure design, emphasizing a shift toward "secure-by-design" principles. The discussion also addresses the evolving balance between human oversight and machine autonomy. Participants will gain actionable frameworks to design resilient, trustworthy agentic systems and transition toward proactive, self-healing cybersecurity models.}
}
TY - CONF TI - Beyond Models: Building Trusted AI in the Age of Autonomous Agents AU - Verma, Harsh T2 - Proceedings of the Raptors Conference VL - 1 PY - 2026 DA - 2026/09/12 PB - Hackathon Raptors CY - London, United Kingdom DO - 10.68495/rc.2026.C025 UR - https://doi.org/10.68495/rc.2026.C025 AB - This presentation introduces the emerging paradigm of multi-agentic AI in cybersecurity, where systems evolve from passive tools to autonomous decision-making entities. This explores the rise of agentic AI and its transformative impact on modern cybersecurity. As AI systems evolve from assistive tools into autonomous agents capable of independent decision-making and action, they introduce a new class of dynamic, fast-moving, and highly adaptive threats. The session examines the architecture and behavior of these agents, highlighting critical vulnerabilities that emerge from autonomy, orchestration, and trust dependencies. It presents the concept of a "lethal trifecta" of risks that redefine traditional security boundaries. Through practical scenarios, the workshop illustrates how adversarial agents exploit interconnected systems and data flows at scale. It then outlines a defense-first approach grounded in observability, governance, and secure infrastructure design, emphasizing a shift toward "secure-by-design" principles. The discussion also addresses the evolving balance between human oversight and machine autonomy. Participants will gain actionable frameworks to design resilient, trustworthy agentic systems and transition toward proactive, self-healing cybersecurity models. LA - en ER -