The U.S. military’s AI-enabled platforms are only as good as their inputs. Across the force, these systems are ...
Defense News on MSNOpinion
Winning the long game: Sustaining sea power as our enduring advantage
Opinion: "America does not want a fair fight — we want a fleet so capable, so ready and so forward that the fight never ...
DARPA-funded generative AI tool, "DiffProtect" creates realistic images that fool facial recognition systems and enhance user ...
Recall Labs, a firm that has run 20 or so AI trading arenas, pitted foundational large language models (LLMs) against customized trading agents.
ThreatsDay Bulletin: Stealth Loaders, AI Chatbot Flaws AI Exploits, Docker Hack, and 15 More Stories
Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.
"Signals for 2026" Special Edition Reveals Surge in Adaptive, Self-Learning Fraud and Outlines How Early Warning Systems are Fighting Back As agentic AI systems learn to iterate, refine, and redeploy ...
While most cybersecurity companies pour resources into AI models, massive compute, hoovering up all the data, and enhanced analytics to detect and prevent threats, Frenetik, a Maryland cyber startup, ...
Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between machine precision and human judgment.
Every frontier model breaks under sustained attack. Red teaming reveals the gap between offensive capability and defensive readiness has never been wider.
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