CHALLENGE:
Traditional sandboxes (dynamic analysis solution) have some key drawbacks that are inherent to the underlying technology. To start, certain file types cannot be analyzed in a sandbox. Sandboxes are also greatly constrained by file size and volume. These limitations present a major challenge for today’s enterprise SOC teams as the amount and complexity of files and objects continue to increase, causing major gaps in an enterprise’s analysis capabilities.
SOLUTION:
RL overcomes this challenge with our proprietary complex binary analysis technology that delivers automated, in-depth static analysis capabilities to comprehensively analyze and classify over 4800 file types, and unpack hundreds of file archive formats, without the file size constraints emblematic of traditional sandboxes. RL’s ability to deconstruct any file type of any size enables security teams to bridge sandbox detection gaps and identify malware wherever it may reside.
CHALLENGE:
Trying to run all ‘suspect’ files through a sandboxing system is impractical and cost-prohibitive. Sandbox processing of files takes time and resources. And, with the high volume of files entering enterprise networks, sandboxes can quickly be overloaded, causing costly delays. Even under normal circumstances, it can take in excess of five minutes to fully analyze a file, which then necessitates an analyst to spend more time interpreting the results before they can take action. This has a compounding effect, leading to bottlenecks in analysis workflows, and in turn, slower threat detection and response.
SOLUTION:
RL reduces the volume of sandbox analysis by 10x or more with our automated, high-speed binary analysis that fully deconstructs any file and delivers a definitive threat verdict in milliseconds — no execution required. High volumes of files and objects can be expeditiously processed and classified without the need for dynamic analysis, so security teams can immediately know the good from the bad in real time. Any remaining ‘files of interest’ can then be sent to an existing sandbox or RL’s cloud sandbox for runtime analysis if needed. The result is significantly improved efficiency, efficacy, and cost-effectiveness of file analysis workflows, along with considerably reduced MTTD and MTTR.
CHALLENGE:
While sandbox vendors work on building in anti-evasion features, malware developers are continually honing their craft to avoid detection. It’s a continuous cat-and-mouse game. Threat actors know organizations utilize sandbox technology, so they are constantly finding new ways to fool it or move around it. As a result, malware is able to permeate into the network unbeknownst to anyone until it’s too late.
SOLUTION:
RL detects malware without execution, so sandbox evasion becomes a moot point. Our AI-driven, complex binary analysis completely dissects any file or object down to its base components, recursively unpacking, de-obfuscating, and extracting all indicators and metadata to detect even the most sophisticated embedded malware threats before they can do damage.
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