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Analysts who are more agile, are more valuable

Updated: Jul 20

Six reasons why going faster with Cyber Threat Reconnaissance is mission critical


Introduction


Cyber Threat Reconnaissance is a critical aspect of any cybersecurity strategy. With cyber attacks becoming more frequent and sophisticated, it is essential for organizations to gather intelligence and stay ahead of potential threats. Key components of effective Cyber Threat Reconnaissance include: visibility of external threat actor infrastructure data, integrations to power automation, speed of data acquisition, and the enabling of analysts to be highly agile when using threat hunting tools. In this blog post, we’ll discuss the six key advantages of these components in the process of Cyber Threat Reconnaissance.


Key Advantage 1: Enhanced Visibility

External threat actor infrastructure data provides valuable insights into the traffic patterns and behavior of indicators of compromise (IOCs) on the internet. This data can help analysts identify anomalies, such as unusual traffic patterns interacting with their own infrastructure, or suspicious connections that may indicate a cyber threat. By having access to external threat actor infrastructure data, analysts can proactively detect and respond to potential threats before they escalate into a full-scale attack.


Key Advantage 2 Real-time Data Acquisition

Speed of data acquisition is crucial in Cyber Threat Reconnaissance. In today's fast-paced environment, cyber threats can emerge and evolve quickly. Real-time data acquisition allows analysts to quickly gather information about potential threats and respond proactively. With fast data acquisition, analysts can detect threats and take action before they cause significant damage.


Key Advantage 3: Agile Analyst Tools that easily integrate

Agility of analyst tools is another critical factor in Cyber Threat Reconnaissance. Analysts need to have access to powerful and flexible tools that enable them to quickly integrate across multiple platforms, enabling more stakeholders to analyze data and identify potential threats and risks. With agile tools that can rapidly process large volumes of data from multiple sources, analysts are more able to identify patterns and trends, and enable informed decisions about the best proactive course of action.


Key Advantage 4: Improved Decision-making

With enhanced visibility, real-time data acquisition, and agile analyst tools, Cyber Threat Reconnaissance can improve decision-making. Analysts can quickly identify potential threats and respond proactively, rather than reactively. This approach can help organizations limit financial losses, utilize analyst time more efficiently, and shield resources from being drained, this helps to prevent damage to their systems and data, and reduce the risk of reputational harm.


Key Advantage 5: Comprehensive Threat Detection

The combination of enhanced visibility, real-time data acquisition, and easily integrated agile analyst tools can lead to more comprehensive threat detection. Analysts can identify external threats at different stages of the cyber attack lifecycle, from reconnaissance to exfiltration. This approach can help organizations prevent attacks before they occur, and minimize the damage if an attack is already in progress.


Key Advantage 6: Reduce risks = lower operational costs

Quickly identifying threat actors and their infrastructure, and then proactively monitoring them is proven to have tangible cost savings as proven by our own findings. A cyber threat platform that consolidates multiple data sources isn’t just less complex and easier to integrate, it has proven ROI. Use Cases include validating real-world threats as they are unfolding to build better and stronger defenses, among others that enable organizations to shift from reactive to more optimal proactive strategies. With the average cost of a data breach at a painful $4.35M according to IBM, prevention continues to be more cost-effective than cure.


Conclusion


In conclusion, effective Cyber Threat Reconnaissance is a critical aspect of any cybersecurity strategy. Visibility of external threat actor infrastructure data, speed of data acquisition, and agility of analyst tools are essential factors that can significantly enhance Cyber Threat Reconnaissance. By having access to these key advantages, organizations can detect and respond to potential threats proactively, prevent damage to their systems and data, and reduce the risk of reputational harm and the financial impact of being victim to a criminal group or sophisticated threat actor.


Recommendations


Read our blogs on Cyber Threat Reconnaissance maturity, Part 1 and Part 2.


Get introduced to Pure Signal Scout™, the world's fastest threat analysts tool for global threat infrastructure telemetry free trial here.


Use IoCs from our own S2 Team Threat Research Blogs to speed up your discovery of threat actor infrastructure here.


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