On AI security technologies
AI can analyze vast amounts of data, identify patterns, and detect security breaches in real-time. It can automatically flag and respond to potential threats, preventing damage before it occurs.
Traditional static defense mechanisms are no longer sufficient to protect critical infrastructure, sensitive data, and digital assets from sophisticated adversaries.
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.
This essay explores the unique security considerations surrounding generative AI and why I believe this will be the next significant frontier in cybersecurity.
Adversarial Attacks on AI Systems
Threats and Countermeasures in Artificial Intelligence Systems
This article delves into the economic implications of adopting AI-enabled active defense strategies, highlighting the potential benefits and challenges that security leaders must navigate in this evolving paradigm.
Navigating the complexities of AI-driven cyber conflict requires a multifaceted approach that encompasses the development of international norms, the promotion of transparency and human oversight, and investments in AI safety research.
This article explores the intersection of AI, cyber wargaming, and cyber ranges, detailing their synergies, benefits, challenges, and future trends.
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.
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).