The threat intelligence lifecycle is the structured process by which threat intelligence is gathered, processed, analyzed, and applied. It’s a continuous and iterative cycle involving six phases, that empowers cybersecurity teams to predict, detect, and respond to threats with enhanced efficacy.
The process of threat hunting is usually built on the foundation of planning, baselining, and testing based on the hypothesis. Besides these, a threat hunter also uses automated tools to boost threat analysis and identify any suspicious patterns and relationships on a large scale.
Cyber threat hunting is emerging as a new way to proactively detect security threats. But it can be a daunting task, particularly for organizations that lack the necessary expertise and resources. Machine learning (ML) algorithms can help organizations automate and streamline the process of threat hunting, making it more effective and efficient.
The frequently used vector to gain initial access is phishing attack and deployment of the malware – observed in nearly 43% of cases that SISA investigated. Most often, the phishing emails originate from a trusted ID, making the tactic highly successful.
Threat hunting is the practice of detecting cyber threats lurking in the digit networks. Suppose you have heard of companies’ data being breached for not discovering the attackers’ position. In that case, threat hunting can be the process they require to identify those security incidents before the breach occurs. To be successful with threat hunting,… Continue reading What is Threat Hunting in cybersecurity domain
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