Cybercriminal tactics continue to grow in number and advance in ability; in response, many organisations have seen the need to reach a security posture where their teams can proactively combat threats.
Threat hunting plays a pivotal role in modern organisations’ cybersecurity strategies. It involves actively searching for signs of advanced threats and vulnerabilities beyond passive defence mechanisms. The MITRE ATT&CK Framework is an industry-standard threat hunters can use to proactively ensure they have protection against new and evolving attacks. Automating these processes for threat hunting can advance any security team’s capabilities.
However, it can be challenging to integrate or collect security data for effective threat hunting. The number of security technologies often results in fragmented data and hinders a comprehensive threat-hunting approach. Automated threat hunting has become a solution that can advance the capabilities of any security team.
Understanding Disparate Security Technologies
Modern organisations employ a variety of security technologies to safeguard their digital assets. These include firewalls, intrusion detection systems, antivirus software, and endpoint protection. While effective, the sheer number of disparate security technologies poses challenges in centralising security data. Each solution generates logs and alerts, creating data silos.
The Problem of Non-integrated Security Data
Scattered security data creates several difficulties. Security teams grapple with a deluge of data from diverse sources, making identifying relevant threat indicators and patterns challenging. The absence of comprehensive visibility into potential threats leaves organisations vulnerable to increasingly advanced adversaries, who will exploit these data gaps. Inefficiencies plague threat-hunting processes because analysts must manually correlate data from various sources, slowing response times and increasing the likelihood of missing critical threats.
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