Today’s attacks are designed to bypass your organization’s defenses,
regardless of your industry or size. In fact, while 68% of observed
malware appears only at one organization, 80% of observed malware
appears once, period. Signature-based defenses cannot protect against
single-use malware. Even more importantly, in many cases, attackers
eschew malware for social engineering and other tactics.
Failure of standard detection methods
Conventional detection methods fail because they are incomplete:
Indicators are ephemeral. They can only be used to provide
information about a specific, retrospective point in time data
point. They are a piece of the puzzle, but cannot tell the entire
story. You need more evidence to build the context necessary to
anticipate future attacks.
Integrated perimeter controls, which include firewalls and
sandboxes, often execute traffic objects sequentially, one at a
time, in siloed environments and completely miss attacks that use
multiple steps or non-digital steps.
Security analytics can identify anomalies and activities that
have previously been unseen. However, what informs these algorithms?
Absent of knowledge of the attacker’s behavior, attacks can easily
evade these defensive measures.
Threat intelligence provides insights into the attacker’s
tactics and techniques and may even correlate ongoing activity to an
attacker. However, security programs can’t operationalize that
knowledge into your detection architecture.