Core value includes:

• Threat Identification
  • Profile and classify large volumes of sessions, files, and objects in real-time to identify threats targeting your users
• Time Savings
  • Elimination of manual steps that typically must be performed by the threat hunters before malicious content can be discovered
  • Comparison of uploaded files to millions of ingested and dissected files extracted daily from data-in-motion (web traffic, email attachments, file transfers over endpoints), data-at-rest (data storage, file shares), and data-in-use (SaaS) through the combined application and use of our patented, Deep File Inspection (DFI™) analysis engine and proprietary Machine Learning (ML) algorithms
  • Advanced analytical apparatus that leverages automated static analysis to examine, identify, and classify threats while extracting Indicators of Compromise (IOCs) that can be used to identify future attacks
• Integration with Existing Malware Analysis Tools
  • Provides a platform of internal analytics engines coupled with external integrations such as multi-av and detonation chambers to discover malware hidden in common carrier file types and objects at scale
• RetroHunting
  • Retrospective threat analysis and scoring of historical content leveraging daily emerging threat intelligence updates enables analysts to discover attacks that may have previously gone under the radar
• Intelligence Augmentation
  • Augment InQuest's intelligence with your own by defining Yara compatible signatures along with severity and confidence ratings factored by our threat discovery and scoring engines
• IQ Score Understanding
  • Review all contributing factors used to generate and assign a threat score. IQ scoring is based on InQuest's proprietary engine - augmented by external integrations, reputation feeds and pluggable components - providing reliable data points that are weighted and then factored into our own threat assessment.