AI Supply Chain Security
Recent incidents have highlighted the extensive impact of supply chain attacks, affecting not only traditional software systems but also AI-specific contexts.
On AI security tradecraft
Recent incidents have highlighted the extensive impact of supply chain attacks, affecting not only traditional software systems but also AI-specific contexts.
While cybersecurity professionals are familiar with traditional threats like data breaches and DDoS attacks, federated learning presents unique dangers, such as model hijacking and neural network trojans.
The data pipeline for these AI models is fraught with vulnerabilities, making each stage a potential target for security breaches. For security professionals, addressing these risks is crucial.
Adversarial Attacks on AI Systems
Wargaming and Capture the Flag (CTF) events have long been used to train and test the skills of cybersecurity professionals. With the advent of AI, a new dimension has been added to these challenges, pitting machines against humans in complex, dynamic scenarios.
This article explores the intersection of AI, cyber wargaming, and cyber ranges, detailing their synergies, benefits, challenges, and future trends.
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.
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.
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.
Generative AI stands at the forefront of cyber deception innovation, utilizing advanced machine learning techniques to develop highly sophisticated decoys.