11
May
In an era where cybersecurity threats are more sophisticated and persistent than ever, the U.S. faces a continuous battle against advanced threat actors, including nation-states, cybercriminal organizations, and rogue entities. Traditional defense mechanisms are no longer sufficient to combat the evolving tactics, techniques, and procedures (TTPs) of these adversaries. Machine learning (ML) has emerged as a game-changing tool, empowering U.S. cyber defense systems with advanced capabilities to detect, predict, and mitigate threats in real time. The Growing Complexity of Cyber Threats Advanced threat actors are leveraging state-of-the-art tools to launch increasingly complex attacks. These include: Advanced Persistent Threats (APTs): Coordinated,…