Digital technologies lie at the heart
of nearly every industry today. The automation and greater connectedness they
afford have revolutionized the world’s economic and cultural institutions — but
they’ve also brought risk in the form of cyberattacks. Threat intelligence is
knowledge that allows you to prevent or mitigate those attacks. Rooted in data,
threat intelligence provides context — like who is attacking you, what their
motivation and capabilities are, and what indicators of compromise in your
systems to look for — that helps you make informed decisions about your
security.
“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
Why Is Threat Intelligence Important?
Today, the cyber security monitoring 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.
Threat intelligence is actionable — it’s timely, provides context, and is
able to be understood by the people in charge of making decisions.
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