What challenges did Seqrite face before AI implementation?

Seqrite needed to analyze terabytes of security events and log data in near real time. The company wanted to detect zero-day threats and automate threat detection and response with minimal human effort.

Source

Evidence: Medium50/100

Seqrite (Quick Heal Technologies) automates predictive cybersecurity analytics with Amazon OpenSearch Service

Use case typeClinical analyticsUpdated Jun 13, 2026

Seqrite, the enterprise arm of Quick Heal Technologies, offers cybersecurity software that secures endpoints, data, networks, and users globally. The company built an XDR Event Correlation Engine on AWS to analyze security events and log data in near real time, detect zero-day threats, and automate threat detection and response with minimal human effort. The solution uses Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon OpenSearch Service, and Amazon EMR.

Organization: Seqrite
Industry: Tech & Comms
Location: India
Published: March 2026

Reported outcomes

50%

timeTime & speed

100%quantified impact

Strategic outcomes

New product / capabilityBuilt automated threat detection engineSpeed & agilityEnabled near real-time security analyticsRisk & complianceImproved zero-day threat detectionScale & capacityMines large daily data volumes

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 50%

AWS Case StudyMar 9, 2026Case studyInferred claimMedium evidence strength

Seqrite says the engine reduces manual effort by 50% while improving threat detection and response times.

Normalized claim

Quantified impact: 100%

AWS Case StudyMar 9, 2026Case studyInferred claimMedium evidence strength

The solution provides 99.999% availability and supports automated threat response with minimal human effort.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Seqrite, Quick Heal Technologies
Provider: AWS
Maturity: Unknown
Linked source: AWS Case Study

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Cybersecurity
2Predictive Analytics
3Threat Detection

Seqrite needed to analyze terabytes of security events and log data in near real time.
The company wanted to detect zero-day threats and automate threat detection and response with minimal human effort.

Built an XDR Event Correlation Engine powered by Amazon OpenSearch Service.
Used Amazon Kinesis Data Streams and Amazon Data Firehose to ingest endpoint, email, and network data.
Used Amazon OpenSearch Service with Amazon EMR for real-time anomaly detection, event correlation, and predictive analytics across accumulated security data.

Technologies

Amazon Kinesis Data Streams Amazon Data Firehose Amazon OpenSearch Service Amazon EMR

The platform mines about 3 TB of data each day in near real time.
Seqrite says the engine reduces manual effort by 50% while improving threat detection and response times.
The solution provides 99.999% availability and supports automated threat response with minimal human effort.

Architecture

Security event data from endpoints, email, and network infrastructure is streamed through Amazon Kinesis Data Streams and Amazon Data Firehose into AWS analytics systems. Amazon OpenSearch Service and Amazon EMR support large-scale searches, parallel queries, real-time anomaly detection, and event correlation in the Seqrite XDR Event Correlation Engine. The workflow identifies suspicious patterns and automates responses to potential attacks while meeting high availability and compliance requirements.

Sources & evidence1

Evidence: Medium50/100Evidence strength