Log Source Integration
Identify and integrate supported log sources across agreed infrastructure, security products and cloud services.
Security Information & Event Management
Connect the Signals.
Understand the Risk.
Act With Clarity.
Make security data more useful with SIEM services from Petabyte. Centralise supported log sources, correlate security events, prioritise alerts and improve visibility into suspicious activity across your IT environment.
✓ Centralised Log Visibility
✓ Event Correlation
✓ Security Reporting
SIEM ANALYTICS OVERVIEW
ILLUSTRATIVE VIEW
Event Correlation Summary
Sample interface
Events Ingested8.4k
Correlated Alerts26
Priority Events05
Illustrative Event Activity
Earlier eventsRecent events
Illustrative Correlated Alerts
Repeated Failed LoginsIdentity logs · Correlated activity
HIGH
Unusual Privilege ChangeAccess events · Review required
MEDIUM
Illustrative sample data onlyNot a live SIEM feed
Centralised Security Analytics
Turn fragmented logs into useful security intelligence.
Security-relevant information is often distributed across servers, endpoints, firewalls, cloud platforms, identity systems and business applications. Reviewing each source independently can make it harder to understand the wider context of an event.
SIEM technology helps bring supported logs together, normalise and correlate relevant events, and generate alerts that support security investigation, monitoring and reporting.
Better context starts with better event visibility.
Effective SIEM operations depend on appropriate log coverage, reliable data sources, meaningful detection logic and regular tuning.
Centralised Log Collection
Bring supported security and operational logs into a common platform for analysis and investigation.
Event Correlation
Connect related activity across multiple sources to help identify patterns that may be difficult to see in isolated logs.
Alert Prioritisation
Use detection rules, contextual information and defined severity criteria to identify events requiring closer review.
Investigation & Reporting
Support incident investigations, historical review and operational reporting through searchable security event data.
SIEM Capabilities
Make your security data work harder.
Build a more consistent approach to collecting, analysing and using security events to support detection and operational decisions.
Data Parsing & Normalisation
Structure available event data into consistent fields to support searching, analysis and correlation.
Correlation Rules & Analytics
Configure or refine detection logic to identify relevant combinations of events and potentially suspicious behaviour.
Alert Analysis & Triage
Review generated alerts, examine supporting events and prioritise cases that need further investigation.
Detection Optimisation
Review detection performance, investigate recurring false positives and refine rules based on observed activity.
Dashboards & Reporting
Present relevant security trends, event summaries and investigation information through agreed dashboards and reports.
SIEM Data Lifecycle
From raw events to actionable insight.
A clear data lifecycle helps maintain the quality and usefulness of the information used for security monitoring.
Collect
Gather logs and events from supported devices, systems, security tools and cloud environments.
Prepare & Correlate
Parse and normalise event fields, then correlate related activity using configured logic and context.
Detect & Investigate
Generate relevant alerts, assess supporting evidence and investigate potentially significant patterns.
Report & Refine
Communicate findings, review detection quality and refine rules and data coverage as requirements evolve.
Supported Data Sources
Build context across your technology stack.
SIEM coverage depends on available logs, integration support, platform capabilities, licensing and agreed retention requirements.
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Network & Perimeter
Firewall events, VPN activity, network security alerts and supported infrastructure logs.
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Endpoints & Servers
Operating system events, endpoint security telemetry and supported server logs.
◎
Identity & Access
Authentication records, account changes, access events and privilege-related activity.
☁
Cloud Environments
Available cloud audit trails, platform security events and supported service logs.
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Applications & Databases
Relevant application, database and service logs where collection and integration are supported.
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Security Platforms
Available alerts and events from compatible security products and monitoring tools.
SIEM Implementation
A practical path to better security analytics.
Align data sources, detection objectives and operational workflows before expanding SIEM coverage.
Assess Requirements
Review existing infrastructure, security objectives, log sources, data volumes and investigation needs.
Plan Data Coverage
Prioritise log sources, define collection requirements and establish relevant retention and access controls.
Configure & Validate
Integrate supported sources, validate event quality and configure relevant correlation rules and alerts.
Review & Optimise
Assess alert quality, tune detections and refine dashboards and reporting based on operational findings.
Frequently Asked Questions
Understand SIEM.
Explore how SIEM supports security monitoring, event analysis and incident investigation.
Discuss Your SIEM Needs →What is SIEM in cybersecurity?
Security Information and Event Management (SIEM) is a technology approach that collects and analyses security-related logs and events from multiple sources. It helps teams correlate activity, identify potential threats and support investigations and reporting.
What is the difference between SIEM and SOC?
SIEM is a technology platform for collecting and analysing security events. A Security Operations Centre (SOC) is an operational function involving people, processes and technologies that monitor and investigate security activity. A SIEM can be one of the SOC's core tools.
How does SIEM detect suspicious activity?
SIEM can use configured rules, event correlation, thresholds and supported analytics to identify patterns that may indicate suspicious activity. Detection quality depends on log coverage, data quality, rule configuration and ongoing tuning.
Can SIEM collect logs from cloud and on-premises systems?
Many SIEM platforms support a mix of cloud and on-premises sources. Actual coverage depends on the chosen platform, available connectors, permissions, licensing and the types of logs exposed by each system.
Does SIEM automatically stop cyberattacks?
SIEM primarily supports log analysis, correlation, detection and investigation. Automated containment may require integrations with other security tools and carefully configured response workflows. Detection does not guarantee that every attack will be prevented.
Why does SIEM require ongoing tuning?
Systems, users, applications and attack techniques change over time. Regular tuning helps improve detection relevance, reduce avoidable false positives and maintain useful coverage as the environment evolves.
What should we consider before implementing SIEM?
Consider priority use cases, available log sources, expected event volumes, retention requirements, data access, platform compatibility, detection ownership, response processes and ongoing operating costs.
Improve Security Visibility
Make better-informed security decisions with SIEM.
Discuss your log sources, detection objectives and security analytics requirements with Petabyte.