“Threat intelligence is evidence-based knowledge, including context, mechanisms, indicators, implications and action-oriented advice about an existing or emerging menace or hazard to assets. This intelligence can be used to inform decisions regarding the subject’s response to that menace or hazard.” — Gartner
Threat actors are constantly developing new methods to penetrate into enterprise environments. Threat Intelligence can alert to emerging global threats that may affect organization’s operations, impact its financial performance, expose customer data, and damage organization’s brand and reputation.
Threat intelligence is actionable — it’s timely, provides context, and is able to be understood by the people in charge of making decisions.
Today, the cybersecurity industry faces numerous challenges — increasingly persistent and devious threat actors, a daily flood of data full of extraneous information and false alarms across multiple, unconnected security systems, and a serious shortage of skilled professionals.
Some organizations try to incorporate threat data feeds into their network, but don’t know what to do with all that extra data, adding to the burden of analysts who may not have the tools to decide what to prioritize and what to ignore.
A cyber threat intelligence solution can address each of these issues. The best solutions use machine learning to automate data collection and processing, integrate with your existing solutions, take in unstructured data from disparate sources, and then connect the dots by providing context on indicators of compromise (IoCs) and the tactics, techniques, and procedures (TTPs) of threat actors.