Security Incident & Event Management

Detect Every Threat. In Minutes, Not Days.

Centralised log collection, AI-powered correlation, and 24/7 SOC monitoring across your entire environment — endpoints, servers, cloud, network, and applications. Over 500 log sources, UEBA, threat hunting, and incident escalation. Detect threats in minutes, not hours or days.

24/7

SOC Monitoring

< 5 min

Threat Detection

99.9%

Log Coverage

500+

Log Sources Supported

Why Managed SIEM

Four pillars that define effective security monitoring

Centralised Log Collection

Collect, normalise, and store security logs from every source in your environment — endpoints, servers, cloud, network, and applications — in a single, searchable platform with long-term retention.

AI-Powered Correlation

Correlation rules and machine learning detect patterns across log sources — identifying threats that no single log source could detect, from lateral movement to data exfiltration.

Investigation & Response

Every alert is investigated by our SOC analysts, with full context for triage, prioritisation, and response — reducing alert fatigue and ensuring real threats are acted on.

Attacker's-Eye View

We see your organisation the way an attacker does — from the outside, with no inside knowledge. If an attacker can find it, so can we. If we find it, you can fix it before they do.



Managed SIEM Capabilities

Eight core capabilities — click to expand each

Centralised collection of security logs from every source in your environment — endpoints, servers, cloud services, network devices, firewalls, and applications — in a single platform with automated parsing and normalisation.

  • Agent-based and agentless log collection
  • Support for over 500 log source types
  • Automated log parsing and normalisation (CEF, LEEF, JSON, syslog)
  • Cloud and on-premises log ingestion
  • Long-term log retention (90 days to 7 years)

Correlation rules and machine learning models detect threats across log sources — identifying patterns that no single source could detect, from brute force attacks to lateral movement and data exfiltration.

  • Pre-built correlation rules for common attack patterns
  • Custom correlation rules for your environment
  • Machine learning anomaly detection (UEBA)
  • Threat intelligence feed integration (STIX, TAXII)
  • MITRE ATT&CK framework mapping for detections

Continuous, 24/7 monitoring of your environment for security events — from known attack signatures to behavioural anomalies — with detection in minutes, not hours or days.

  • 24/7 SOC analyst monitoring of alerts
  • Real-time alerting on critical security events
  • Behavioural anomaly detection (UEBA)
  • Signature-based and behaviour-based detection
  • Threat hunting based on intelligence and trends

Machine learning models establish baselines of normal user and entity behaviour, then detect anomalies — unusual login times, impossible travel, mass data access, and privilege escalation.

  • Baseline behaviour profiling per user and entity
  • Anomaly detection for unusual access patterns
  • Impossible travel and geo-velocity detection
  • Privilege escalation and account compromise detection
  • Insider threat detection through behaviour deviation

Our SOC analysts investigate every alert with full context for triage, prioritisation, and response—reducing alert fatigue and ensuring real threats are acted on, not lost in the noise.

  • Analyst triage of every alert with full context
  • False positive elimination before escalation
  • Alert prioritisation based on severity and asset criticality
  • Threat enrichment with asset, user, and threat intelligence context
  • Investigation timeline and evidence chain for each incident

Proactive threat hunting by our SOC analysts — looking for threats that have evaded automated detection, using intelligence, hypotheses, and advanced techniques to find what rules cannot.

  • Hypothesis-driven threat hunting
  • MITRE ATT&CK technique-based hunting
  • Intelligence-led hunting on emerging threats
  • Behavioural hunting for living-off-the-land techniques
  • Hunt reports with findings and recommended actions

Comprehensive analytics and reporting on your security posture — event volumes, alert trends, top threats, detection coverage, and response metrics — with dashboards for technical and executive audiences.

  • Real-time security operations dashboard
  • Alert volume and trend analysis
  • Top threats and attack campaigns identified
  • Detection coverage gap analysis
  • Executive reporting on security posture and ROI

When a real threat is confirmed, the incident is escalated to your incident response process — with full context, evidence, and recommended actions — so your team can respond quickly and effectively.

  • Incident escalation with full context and evidence
  • Integration with ticketing and incident response tools
  • Recommended response actions per incident type
  • Incident timeline and chain of events reconstruction
  • Post-incident review and detection improvement

Log Source Coverage

Four categories of log sources — over 500 source types supported

5 log source types

  • Windows Event Logs (Security, System, Application)
  • Linux syslog and audit logs
  • macOS unified logs
  • Endpoint detection and response (EDR) logs
  • Antivirus and anti-malware logs

5 log source types

  • Firewall logs (Cisco, Palo Alto, Fortinet, Check Point)
  • IDS/IPS logs (Snort, Suricata, Cisco)
  • Network flow data (NetFlow, sFlow, IPFIX)
  • VPN and remote access logs
  • DNS query logs and proxy logs

5 log source types

  • AWS CloudTrail and GuardDuty logs
  • Microsoft Azure Activity and Sentinel logs
  • Google Cloud Audit logs
  • Microsoft 365 audit logs
  • SaaS application logs (Salesforce, Slack, etc.)

5 log source types

  • Web application and API logs
  • Database audit logs (SQL Server, Oracle, MySQL)
  • Active Directory authentication logs
  • Identity provider logs (Okta, Azure AD, Ping)
  • Email security logs (anti-spam, anti-phishing

Deployment Models

Three models — Co-Managed, Managed SOC, and Enterprise

When It Matters

Six scenarios where SIEM monitoring detects and responds to threats

Threat Detection

Detect threats in minutes — from known attack signatures to behavioural anomalies — with real-time monitoring and correlation across all your log sources.

Breach Detection

Detect breaches that have already occurred — using threat hunting and behavioural analytics to find attackers who have evaded initial defences and are operating in your environment.

Insider Threat

Detect insider threats — data exfiltration, privilege abuse, and unauthorised access — through behavioural analytics that spot deviations from normal user behaviour.

Compliance & Audit

Meet log collection and monitoring requirements for PCI DSS, ISO 27001, SOC 2, HIPAA, and CMMC — with audit-ready reports and long-term log retention.

Security Posture

Understand your security posture over time — event volumes, alert trends, top threats, and detection coverage — with dashboards for technical and executive audiences.

Incident Response

When a real threat is confirmed, the incident is escalated with full context, evidence, and recommended actions — so your team can respond quickly and effectively.

Advantages & Considerations

  • Advantages
  • Considerations
  • Centralised log collection from over 500 source types
  • 24/7 SOC analyst monitoring (Managed and Enterprise tiers)
  • AI-powered correlation detects threats across log sources
  • UEBA detects anomalies that rules-based detection misses
  • False positive elimination by SOC analysts before escalation
  • Threat hunting finds what automated detection cannot
  • Threat hunting finds what automated detection cannot
  • Long-term log retention for compliance and investigation
  • Compliance reporting for PCI DSS, ISO 27001, SOC 2, HIPAA, CMMC
  • Incident escalation with full context and recommended actions
  • Requires log forwarding configuration on your systems
  • Full value depends on log coverage — gaps in logging create blind spots
  • Full value depends on log coverage — gaps in logging create blind spots
  • Long-term retention requires storage allocation based on log volume
  • Some cloud and SaaS logs require API integration and may have API limits

Key Technical Points

  • Co-Managed: SIEM deployment, log collection, correlation rules, alerting dashboard
  • Enterprise: + UEBA, threat hunting, IR integration, long-term retention, compliance reporting
  • Detection: correlation rules, ML anomaly detection, threat intelligence, MITRE ATT&CK
  • Threat hunting: hypothesis-driven, ATT&CK technique-based, intelligence-led
  • Compliance: PCI DSS, ISO 27001, SOC 2, HIPAA, CMMC, GDPR
  • Managed SOC: + 24/7 analyst monitoring, alert triage, false positive elimination, incident escalation
  • Log sources: endpoints, servers, cloud, network, firewalls, applications, identity
  • UEBA: behaviour baselines, impossible travel, privilege escalation, insider threat
  • Retention: 90 days (Co-Managed) to 7 years (Enterprise)
  • SOC: 24/7 analyst monitoring, alert triage, incident escalation with evidence

Frequently Asked Questions

Related Articles & Insights

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Centralised log collection, AI-powered correlation, 24/7 SOC monitoring, UEBA, and threat hunting. Detect threats in minutes, not days. Request a proposal or speak to our team.

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