Managed Detection & Response (MDR)

Gain visibility across the security layers.

Detect, block, and contain malware, ransomware, zero-days, and fileless attacks across your network and cloud environments. Gather deep insights from servers, network devices, applications, IOT, and security systems and apply user identity, threat intelligence, and vulnerability assessment to establish threat profile, generate threat indicators, raise essential alerts, and offer remediation paths; either automated or triaged.

In essence, we ensure defense in depth threat detection and response, Network Behavior, Advanced Correlation (SIEM), Network Traffic Analysis, ML UEBA, and SOAR for an all-in-one outcome that is seamlessly delivered by our SOC analysts.

The MDR service can integrate (ingest) with your existing EDR (end-point-protection) capabilities and investments to provide visibility and control across the cloud, network, and endpoints.

Visibility across the security spectrum

Ingest raw streaming data to provide unparalleled real-time view of all assets applications, users and their interactions including logs, packets, flows, identities, and more
Logically auto discover and create asset groups
Detect IT misconfigurations
Network Flow Analysis

AI and ML based analytics

Proactively detects threats in real-time including event correlation, filtering and alerting
Ransomware, Malware, Spyware, APTs
Malicious Insider, compromised credentials, UEBA, privilege misuse
Cloud Security: IaaS - AWS/Azure/GCP, PaaS, CASB, SaaS – O365/Azure
Denial of Service: Bruteforce, Volumetric, Application Layer, Protocols
Strict Policy Enforcement
Vulnerability exploits: Data/IP Exfiltration, Apps, Firmware, Email, Web
Intrusion Detection and Prevention Systems
Threat detection across multi-cloud, on-premise, and hybrid environments

SOC analysts assisted by AI triage response

Clear actionable steps to contain and eliminate threats in real-time
Formalized and automated incident response workflows

Continuous Compliance & Reporting

HIPAA, PCI-DSS, NIST, GDPR, and more
Executive and Operational Reports

We partner with you

We actively perform Threat Hunting and leverage MITRE ATT&CK framework to classify and study attack methods
Perform rapid forensic analysis and support
We will not just alert and flee, but will stay with you through resolution

Request a DEMO of MDR

Our solution defends against a comprehensive set of attacks.

Vulnerability Exploits

Vulnerability exploits have to be detected through various activities with a solid understanding of attacker’s tactics and techniques. We analyze various threat indicators to determine and flag if and when Vulnerability Exploit or Web Exploit needs attention.

Data Breach

Analysis of security related data from multiple angles – file usage, user activity and network traffic (applications, servers) correlated against threat intelligence and vulnerability scan to enrich context.

DNS

DNS Tunneling, DNS Fast Fluxing

Malware

Spyware, APTs, Potential Infiltration, Botnet Detection,

Trojan Activity including all known and unknown malware and Zero-Day.

Web Application/Email

Adversaries pry into web applications to access databases, steal credentials, download malware or redirect users to malicious sites. Cybersecurity attacks and breaches are instrumented through web applications: Cross-Site Scripting, SQL Injection, Directory Traversal, Remote File Execution, Cross-Site Request Forgery,

Email exploits and compromise.

And much more ...

Request a DEMO of MDR

Ransomware

Ransomware attack typically involves multiple stages over time.

Detection at Host where the ransomware payload tries to infect the endpoint host.

Detection when host Connects with C&C.

Detection of Lateral Movement followed by quarantining the infected host.

Brute Force

Presume Zero-Trust and rely on contextual awareness and behavioral analytics to identify attacks. Our solution takes into consideration geo location, IP address, time-of-day, device, login frequency and policy violations, along with anomalous user behavior by the leveraging ML to defend against password spraying, dictionary attack,

credential surfing, etc.

Insider Threats

UEBA based on ML algorithms to identify various tactics and techniques used by the perpetrators to identify compromised credentials, data exfiltration, and activities similar to data breach detection.