Threat intelligence in Nepal is largely reactive and relies heavily on human analysis. Law enforcement agencies like the Cyber Bureau are effective at investigating crimes after they happen, but there is little proactive prevention. Most organizations rely on basic feeds that list “bad IP addresses” to block. This means that many Nepali companies do not know they have been compromised until the attacker actually triggers the damage, such as stealing funds or locking files.

The global standard for 2025 is “Agentic AI.” Threat intelligence is no longer just a report that a human reads; it is an autonomous AI system that acts on its own. These systems consume global threat data and automatically patch vulnerabilities in a network before hackers can exploit them. It creates a self-healing network that reacts to threats faster than any human analyst could type.

The focus is moving from hindsight to predictive foresight. Traditional intelligence tells you who attacked you yesterday. The new generation of intelligence uses behavioral analytics to predict who will attack you tomorrow. By monitoring hacker discussions on the dark web and correlating them with geopolitical events, these systems can warn specific industries to lock down their systems days before a coordinated attack campaign begins.