๐Ÿ›ก๏ธ Healthcare Cybersecurity Platform

SKCore CyberSecure

Healthcare-specific SIEM, SOAR, and 24x7 SOC โ€” protecting patient data at machine speed.

Purpose-built for healthcare security โ€” clinical-network threat detection, IoMT device monitoring, DPDP Act 2023 compliance automation, AI-native incident response, and HL7/FHIR API anomaly detection.

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0 Breaches
4.2 Ransomware Response (min)
96% DPDP Compliance Score
Key Capabilities

What SKCore CyberSecure Does

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Healthcare SIEM

Security event correlation tuned for healthcare โ€” HL7 injection, FHIR API abuse, DICOM vulnerability detection, and clinical system anomalies.

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IoMT Device Monitoring

47+ medical device types โ€” infusion pumps, ventilators, patient monitors, DICOM modalities, wearables. Behaviour baselining and anomaly alerting.

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AI-Native SOAR

Automated playbooks for ransomware containment (avg 4.2-min response), phishing isolation, unauthorized PHI access, and DICOM exfiltration.

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DPDP Act 2023 Automation

Consent verification, data localisation checks, 72-hour breach notification, and individual rights request management.

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HL7 & FHIR API Security

Deep packet inspection for HL7 v2 anomalies. FHIR API rate limiting, authentication enforcement, payload validation. SMART on FHIR token abuse detection.

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Healthcare SOC (24x7)

Round-the-clock operations with healthcare-trained analysts. Clinical workflow context-aware triage. Escalation protocols that do not disrupt patient care.

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Compliance Automation

DPDP Act tracker (96% score). ISO 27001 control evidence. NABH IT security checklist. CERT-In incident reporting templates.

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Zero-Trust Architecture

Microsegmentation for clinical networks. Role-based access enforcement at API level. Device certificate management.

AI Integration

AI in SKCore CyberSecure

AI powers the SOAR engine โ€” learning normal healthcare workflow patterns and detecting deviations that indicate active threats, enabling sub-minute automated response.

  • โœ“Clinical data access anomaly detection with auto-hold
  • โœ“HL7 message injection detection via ML pattern analysis
  • โœ“Ransomware behaviour detection and network isolation playbook
  • โœ“Phishing link analysis in clinical email environments
  • โœ“IoMT device behaviour baselining with drift alerting
AI Governance Principles
โœ“Advisory only โ€” AI suggests, clinician decides
โœ“PHI de-identified before every model call
โœ“Every suggestion logged and auditable
โœ“Zero auto-saves without human approval
โœ“Bias monitoring across all AI outputs
Compliance & Standards

SKCore CyberSecure Certifications

DPDP Act 2023ISO 27001 ArchitectureCERT-In ReportingNABH IT SecurityNIST CSF HealthcareHIPAA Technical SafeguardsOWASP Healthcare Top 10
Get Started

See SKCore CyberSecure in Action

Book a personalised demo tailored to your clinical workflow and hospital requirements.

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