Adaptive Asymmetric Cyber Defense
Traditional static defense mechanisms are no longer sufficient to protect critical infrastructure, sensitive data, and digital assets from sophisticated adversaries.
On AI security research
Traditional static defense mechanisms are no longer sufficient to protect critical infrastructure, sensitive data, and digital assets from sophisticated adversaries.
Adversarial Attacks on AI Systems
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.
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.
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.