Using deep analytics, we continuously monitor your endpoints for a cyber threat. Our machine learning algorithms triage every alert for suspicious activity, investigate its spread and stop the attack with our threat hunting tools.

Our threat hunting experts then verify these outputs to remove false positives and query the data information and systems further to detect attacks and a cyber threat that may have bypassed other security controls.

Threat hunting includes monitoring user and contextual data to analyze user behavior anomalies, insider threat, and frauds. Our machine learning and statistical models identify threat actors and anomalies and map them to the cyber kill chain.

Our cyber hunter with proprietary tools at disposal detect even the slightest “bread crumbs” of insider threat activity and act immediately to inform and collaborate with your team for appropriate countermeasures.

Our network threat hunting specialists analyze a variety of data to sift out suspicious activities in your network and applications because intrusion prevention systems alone will not stop creative attackers.

Multi-source analytics uses statistical algorithms to continuously discover a new cyber threat, and machine intelligence systems then triage, investigate, and respond to quickly stop attack campaigns.

Swift integration of vulnerability intelligence identifies high-risk applications and provides our security hunter necessary data to mitigate attacks. Our MDR, cyber threat hunting teams and security hunters not only focus threat hunting on potential targets like your high-value business systems and vulnerable entry points but also tracks low footprint applications that are often attractive targets for exploitation.

Our cyber hunting and proprietary vulnerability triaging, and orchestration technology ensures your systems are protected from zero-day exploits.