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EDPR uses AI and behavior technologies to detect internal and external threats; EDPR employs an emulator for Zero-day and hidden malware detection; Suspicious data is identified using in-memory exploit detection techniques.
EDPR uses a light weight agent to protect the cyberspace against: ransomware, advanced persistent threats (APT), and data leaks using device and application control without impacting endpoint performance.
EDPR provides an End-to-End Response mechanism through device control, application control, system patching, data leak prevention. EDPR provides automated actions through a single management console and unified agent.
Deep learning is used for correlation and attack identification. This allows MDR to detect APTs and targeted attacks and deploy deception technology to monitor network and endpoint traffic.
With automated, risk-based workflows, predefined templates (asset, attack type and risk classification based) and incident remediation (on call or on site) capabilities, Sequretek's MDR offers the industry's best incident response to attacks.
MDR performs 24X7 monitoring for threat detection, and offers root cause analysis as well as threat mitigation and containment capabilities.
We gather data from 85+ worldwide sources and integrate them with deep learning data models to provide our customer orgs the best possible threat intelligence.
MDR's big data capabilities ensure that security administrators have user and enterprise behaviour analytics, threat analytics and deeply granular reports when needed.
MDR integrates with a wide range of devices, databases and applications as well as with Sequretek's EDPR product. The integrations happen via plug-n-play connectors.