Browsing: adversarial

Strategic competition in military AI is intensifying, but governance has not kept pace. As reliance on AI-enabled decision making grows, adversarial attacks that disrupt, deny or manipulate military and critical infrastructure systems could undermine strategic stability. This study examines how such attacks may affect credibility, escalation, trust and attribution, and recommends measures to reduce their…

Enterprise AI security has entered a phase unlike any previous technology cycle, as frontier models surface software flaws that went unnoticed for decades. The result is a threat landscape expanding in two directions at once: Defenders gain new tools, while attackers gain the same leverage.