Open-source intelligence (OSINT) is critical for identifying and mitigating operational disruption. Multiple security functions – executive protection, supply chain, workplace violence, and others – rely on OSINT to identify risks and investigate threat actors.
But the sheer volume of potential alerts and web activity can be overwhelming, especially to small or nascent security teams.
Manage Data to Manage the Crisis
Data plays a crucial role in mitigating operational disruption. When facing any complex or long-term crisis, identify the risk metrics that matter most to your organization. These should be based on your business, profitability drivers, culture, and tolerance for risk. If these are coming from many sources and need to be correlated, you will either need a lot of time to conduct the analysis or the right technology to analyze the data for you.
Work with HR, legal, communications, and other stakeholders to understand what data is best for mitigating risk and how to share relevant information between teams. From there, keep employees as informed as possible on how protocols are being developed and rolled out. Take into account which information should be as immediate alerts vs. roll-up summaries.
Once the metrics that matter most have been determined, use that data to establish risk thresholds and make decisions based on that data. “Database decision making” helps reduce the role of personal opinions and instead focuses on a particular set of benchmarks that can be adjusted if needed. Should there be negative impacts from a given crisis, a set of benchmarks approved by leadership also provides a more defensible rationale than personal opinions.
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