A quick search for “The Future of Cyber Threat Intelligence” reveals a common trend and theme amongst experts; automation of threat intelligence is the next big thing. Well, with no disrespect to our colleagues, I would kindly disagree. True, automation will undoubtedly play a pivotal role in the removal of repetitive tasks, the improvement of response accuracy and consistency, and the increased ability to detect indicators of compromise (IOCs). However, I believe that a single word encompasses the future of threat intelligence… optimization. More specifically, the optimal usage of a company’s true differentiator, and the one element that cannot be contextually automated… the analyst.
To ensure the efficient, timely, and decisive action in stopping threats in their tracks, tomorrow’s understaffed, overwhelmed, and undertrained cyber security teams will not want another dashboard to monitor. Surviving and thriving in that highly dynamic and multi-disciplined digital threat landscape where contextualization is not simply an afterthought, will require a reality in between todays Excel and BI tools designed to aid business users, and the complex log management systems like Splunk or ELK designed for operations. One where organizations can avoid the search for non-existent “unicorn” analyst —those rare individuals who can code, manage databases, and perform data science tasks. We refer to this white space as the “No-Code, Low Training” zone.
Optimizing threat intelligence means leveraging it as a force-multiplier to bridge the operational risk and security risk divide. This requires pushing refinement and enrichment to the tactical edge, empowering operators with intelligent no-code tools, where they can easily transform data into contextual and actionable information. Operators must move fast in order to meet operational demands and disrupt threats.
Drastically shortening today’s data-to-action gap is Gigasheet’s true and highly differentiated value driver. Unlike a typical spreadsheet, Gigasheet allows users to work with massive amounts of data; up to a billion rows in a single sheet (a typical spreadsheet allows users to analyze a few million rows of data before requiring the user to offload the data into a database or data warehouse for further analysis). Because Gigasheet is optimized for forensic security data and logs, it’s able to accommodate massive data sets - and it allows users to easily layer in threat intelligence from a multitude of sources. It achieves this impressive scalability through its patent pending design. The backend data store has been optimized to provide speed enhancements of 10x to 100x over traditional general purpose databases. The cloud native parallelism design means processing can be distributed across a pool of ‘job workers’ that scale horizontally and use the near infinite capacity of commercial cloud providers. The frontend is built for security data analytics and data transformation - including the integration of third-party threat intel APIs. These design features allow for maximum speed and scale.
To learn more about how Gigasheet can jumpstart your new, or optimize your existing, threat hunting program today, sign up to join our beta and subscribe to this blog in the top right to receive updates.