How does your company validate that your e-mail security is effective? Default security stacks offered by the providers are capable of detecting between 85% and 95% of these novel attacks.
InQuest harvests unique malware daily and validates the detection efficacy of the common cloud e-mail providers (GSuite, O365). InQuest is offering you a free breach and attack simulation. You will receive a daily report of which emerging threats are able to reach your users' inbox. Contact InQuest
Through continuous monitoring and comprehensive visibility of your data-in-motion, the InQuest platform identifies network-based attacks in real-time and protects against a myriad of exploitation techniques and threat vectors.
System compromise is unfortunately inevitable in most organizations and detecting command and control activity post-compromise is no easy feat. The InQuest platform is capable of identifying command and control activity associated with a variety of threat actor groups by performing behavioral analytics and leveraging unparalleled threat intelligence acquired by our InQuest Labs' researchers as well as external private and public sources.
It is imperative that this activity be identified and remediated as soon as possible to minimize the attacker's dwell time and reduce the possibility of sensitive data being exfiltrated.
By leveraging the ability to retain all network session information and file artifacts regardless of severity at the time of capture, the InQuest platform provides the ability to perform proactive Threat Hunting through the use of automated, manual and scheduled retrospective file analysis using our RetroHunt engine.
Obtain visibility into where your sensitive data resides and is exposed across your Enterprise. InQuest's Data Loss (PII, PHI, sensitive/classified information, etc.) discovery engine leverages machine vision through the use of Optical Character Recognition (OCR) and image perception hashing.
Powered by InQuest Labs with the option for the user to define their own custom Data Loss conditions through the use of user-defined signatures, inspection and discovery can be performed against data in-motion as well as at-rest.