Advanced Detection and Prevention

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.