Threat Hunting

Threat Hunting

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Traditional threat management measures, such as firewalls, intrusion detection systems (IDS), malware sandbox and SEIM systems, typically involve an investigation after there has been a warning of a potential threat or an incident has occurred. Threat hunting is a proactive approach of searching through your network and computing environment to detect and isolate advanced threats that can evade these traditional measures.

Cyber teams must adopt a contemporary, sophisticated and evolving security operations archetype and an analytics-driven methodology to cybersecurity, if they expect to keep stride with the ever-evolving threat landscape. Many advanced threats have no definite gauges for SOC analysts to define “what indicators to look for”, leaving them entirely susceptible to detrimental occurrences. The crucial component is to establish an added knowledgeable decision-making process and preempt issues beforehand, as to be prepared for these occurrences. Critical 18 establishes this by applying forward-thinking analytics, which assists organizations to quickly identify, scrutinize, counter and mitigate threats, as well as being acclimated to threats in vigorous, digital environments.

We proactively hunt threats to minimize impact on the operation of your organization. We absorb and search against distinctively advanced threat intelligence and other sources of indicators of compromise (IOCs). We will detect malicious activity inside and throughout your cyber landscape and kill chain. Quickly find patterns, relationships and indicators of compromise, while distinguishing uncharacteristic activity with cutting-edge statistical analysis  and machine learning proficiencies.

If not properly automated, Threat Hunting can be a tedious process. Your SOC analyst will need to sift through an ocean of data, relying only on their own knowledge and familiarity with an organization’s architecture. They should be asking questions such as, “Which areas might allow Lateral Movement by threat actors?” or “What systems are patched less frequently, and are more vulnerable to exploits?”

Ideally, threat hunting should be automated, making use of artificial intelligence, if possible. With automation, the SOC analyst takes advantage of machine learning and even User and Entity Behavior Analytics (UEBA) to identify potential threats. This will aid in consolidating the prospects for investigation.

Threat Hunting may be driven by:

Analytics
Such as UEBA
Situational Awareness
knowledge of where intellectual property is stored, personally identifiable information, financial data, etc. (A Security assessment may provide this insight.)
Intelligence
threat intelligence feeds, malware reports, vulnerability scans, etc.

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