The tension between these two perspectives on AI - as a means of control and as a force to be controlled - is central to the narrative of Dune. The novel suggests that the key to navigating this dichotomy lies in maintaining a balance between technological progress and human agency...
Enter Adversary Influence, a cutting-edge approach to asymmetric cyber defense that harnesses the power of artificial intelligence (AI) with human oversight to proactively manipulate and mislead attackers, fundamentally altering the dynamics of cybersecurity.
This article explores the shift from traditional defense-in-depth strategies to a more proactive, AI-driven approach: deception-in-depth.
One promising avenue for improving these frameworks is through the automation of deception elements. This article explores how automated deception can bolster cybersecurity efforts, proactively misleading adversaries while gathering crucial intelligence.
To address these challenges, researchers and practitioners are exploring innovative approaches like Asymmetric Cyber Defense and dual deception. These strategies aim to proactively mislead and manipulate attackers, effectively turning their own tactics against them (Fugate & Ferguson-Walter, 2019).
In the world of AI security, we're playing a high-stakes game of deception. But unlike traditional games, where the goal is to outwit a human opponent, we're now crafting elaborate ruses to fool machines.
This article explores how the integration of generative AI, deep reinforcement learning, and AI planning algorithms is poised to revolutionize autonomous cyber defense and deception, enabling systems to adapt and respond to threats in real-time [2].
Cyberpsychology, the study of human behavior and mental processes in the context of technology and cyberspace, is increasingly vital in developing effective cyber deception techniques as part of active defense strategies.
Concept of Modern Asymmetric Cyber Defense. This innovative approach leverages advanced deception techniques to level the playing field and proactively defend against cutting-edge threats.
These sophisticated, self-directed attacks can adapt and evolve in real-time, circumventing traditional detection and defense mechanisms (Kaloudi & Li, 2020). This article examines these emerging threats, their potential impacts, and the strategies being developed to counter them.
In this dynamic, multi-dimensional conflict, hypergame theory emerges as a powerful framework for understanding and navigating the strategic interactions between AI-driven adversaries and defenders.
This article explores the evolving world of AI-powered cybersecurity, highlighting the emerging risks, groundbreaking defense technologies, and future challenges and opportunities.