Eric Chien, a fellow on the Threat Hunter Team at Broadcom, said government agencies looking to counter attackers should create networks that are secure by default and use tools that leverage artificial intelligence and machine learning. Chien noted that achieving a network that is secure by default means reducing the attack surface and adopting zero trust principles, microsegmentation and multifactor authentication. Security Model Tailored to an Organization’s EnvironmentIn an article published on Carahsoft.com, Chien cited technologies like Broadcom’s Symantec Adaptive Security and how such tools leverage machine learning to prevent cyberattacks without harming productivity. He noted that Incident Prediction, which is based on large language models, could help organizations predict and block a threat actor’s next move. “Incident Prediction can also identify what an attacker might do in response to those defensive actions so the security team can block those as well,” he added.