Utilize a Deep-Dive Network Data Breach Incident Detection Tool to prevent C2 activity which can result in data leakage or exfiltration.

With data breaches on the rise, critical assets and sensitive information are increasingly attractive targets for cybercriminals. Organizations with basic security controls are almost always unaware of a threat actor's foothold in their environment until months or even years of dwell time after the initial intrusion.

Defend the Enterprise from threat actors with Inquest's network, data, and email incident and Breach Detection System of tools.
Hackers and threat actors represent a major security challenge for enterprises

Data Breach Incident Detection Remains Elusive

Threat actors commonly leverage sophisticated attack methodologies and evasion techniques capable of bypassing a variety of security controls employed by businesses.

The initial intrusion - and follow-on successful compromise - provides the attacker with a foothold that can then be leveraged to perform internal reconnaissance and lateral movement throughout their campaign.

Destruction, encryption, and/or exfiltration of the organization's sensitive assets and data almost always follows.

A Modern Solution Must Identify and Address Network Breach Detection and Email Breach Detection as They Occur

the Inquest Breach Detection System (BDS) is the solution to a range of incident types and security threats

FDR Breach Detection provides full visibility of all inbound and outbound enterprise network traffic flow to determine whether a breach has occurred. The solution identifies Command and Control (C2) activity associated with advanced persistent threats (APTs) using both behavioral analytics and unique Indicators of Compromise (IoC) acquired and curated by InQuest Labs. The solution is specifically designed to detect and/or prevent the C2 activity and tradecraft of sophisticated actors - ultimately reducing or eliminating the dwell time that can eventually lead to data leakage or exfiltration.

The Advantages of FDR Breach Detection

powered by human and machine learning

Powered by Human + Machine (ML)

InQuest's proprietary Machine Learning (ML) engine consists of four well-vetted data classifiers. These classifiers then use previously collected malicious and benign data sets to pinpoint intricate patterns that often go undetected by signature-based detection engines.

Command and Control (C2) Detection

Command & Control (C2) Detection

InQuest's platform provides continuous protection against Command and Control (C2) activity with a specific focus on Domain and IP communications. Our C2 detection engine is regularly updated with Indicators of Compromise (IOC) sourced from a combination of internal, private and public threat intelligence feeds.

Real-Time Threat Protection

Real-Time Threat Protection

The InQuest network data and email breach incident detection tool focuses on dynamic malicious activities within your Enterprise. It identifies breaches using a combination of heuristics, traffic analysis, and risk assessment. Leveraging these methodologies, Command and Control (C2) activity is identified as it occurs - ultimately discovering successful attacks that had previously gone undetected.

Indication of Compromise (IoC)

Indication of Compromise (IoC)

We determine the nature of the threat through the use of an event taxonomy coupled with MITRE's ATT&CK Framework to better inform network defenders. This enables defenders to combat the adversaries by identifying threat patterns that map individual intrusions to actual attack campaigns.

Data Loss Prevention DLP

Data Loss Prevention

The InQuest platform provides functionality that empowers analysts with the ability to easily and efficiently identify data exfiltration occurring across their Enterprise. Our Data Loss Prevention (DLP) consists of four analytical operations: Capture, Dissect, Identify, and Alert.