Cyberattacks have become more prevalent, sophisticated and dangerous as modern technology continues to evolve, and they pose a significant threat to the security networks of many organisations. Automated defence systems generally detect and disable dangers before they pose a serious risk, but some slip through firewall cracks and trigger devastating data breaches that may take months to discover.
As a result, threat hunting is becoming non-negotiable. Instead of waiting for the risk to crop up and working to deflect it in real time, organisations have the ability to actively search for these hidden weaknesses and dangers and neutralise them before they do any damage. Cybersecurity professionals – like Peter Cooper, Broadcom Commercial & Enterprise Markets and Managed Partners Europe leader from February 2021 to April 2025 and a developer of many cybersecurity initiatives – advocate threat hunting as one of the most proactive approaches to digital defence, and many become threat hunters themselves.
The rise of artificial intelligence and other automated systems has made it easier than ever to become complacent in the online world. Hackers and other cybercriminals are armed with developing technologies that can be used to aid fraud or digital theft. Organisations have the ability to use AI to their advantage by supercharging security systems and automating threat hunts, but this will take time to become a fully reliable initiative.
In the meantime, they must continue to invest in human threat hunters and the technology that enables them to trace remnants of potential malicious activity back to their source. Cybersecurity is primarily reactive, but threat hunting assumes that some form of infiltration has already occurred, forcing organisations to remain vigilant and investigate systems long before harm becomes evident.
There are three proactive strategies used in threat hunting that enable security teams to attack or entirely circumvent viruses, fileless malware and hidden triggers:
- Hypothesis-driven investigation, which pools data to identify potential new threats and malicious behaviours
- Machine learning investigations, which utilise the speed and analytics of computers to detect irregularities far quicker than human efforts could
- Indicator-based investigations, which capitalise on known threats to uncover further damaging patterns or signifiers
Threat hunters work to identify common trigger signs, investigate them at both surface and insider levels, and provide security teams with as much information as possible so they can respond to threats in real time.
National cybersecurity is constantly at risk, and there is no time for complacency. Threat hunting is one of the best approaches to tackling dangerous risks that operate outside of typical strategies, strengthening observability, building knowledge and making it impossible to rely on tactics that no longer offer substantial protection.