AI agents investigate every alert, add context, and prepare cases for response, on a full-stack SecOps platform that captures and correlates all your security data.
Cloud-based SIEM platform providing visibility across all your data sources
Every alert investigated, with a verdict and the evidence behind it
Manage your external footprint, publicly available data, and Dark Web leaks
Log management and threat detection across any of your log sources
Get ultimate assurance that your environment is free from threat actors
Fully featured distrubuted NDR for on-premises and public cloud environments
A SecOps platform purpose-built for industrial and OT environments
Integrated endpoint agent providing deep visibility, response and forensics
Deploy honeypots and honeytokens and stay ahead of threat actors
24x7 security operations from our Australian SOC. AI investigates every alert, and experienced analysts validate findings and contain threats around the clock.
24x7 managed detection and response across endpoint, network, cloud, identity, and log sources
Eyes-on-glass SOC and continuous threat hunting
Expert hunters and AI agents find attacker activity your alerts missed
Quickly recover from cyber attacks and breaches
ThreatDefence is the only SecOps as a Service company providing broad coverage across your entire technology stack with evidence-based security.
We provide security teams with full-stack SecOps infrastructure – you get deep visibility from day one, gain control over your security data, and get access to a comprehensive set of ready-to-use tools, detections, workflows, playbooks and scenarios.
24x7 SOC, Continuous Monitoring, Threat Containment and Incident Response
Visibility and actionable insights for all IT assets
Leverage our Cyber Range to train defenders based on real-world scenarios and simulations
OT and industrial cyber security services for critical infrastructure
Essential Eight monitoring, reporting, and evidence for ongoing compliance
Privacy Act reform impacts, obligations, and practical security considerations
Monitoring and compliance support for critical infrastructure environments
A practical guide to securing critical infrastructure with continuous monitoring
A practical buyer’s guide for schools evaluating SIEM and SOC services
A practical guide to selecting the right SIEM and SOC service for local government
Articles on security operations, AI and compliance
Events, awards and company news
Read what our customers say about us
Solution briefs and datasheets
How we keep your data secure
Technical support and knowledge base
Guides, case studies, and advisories in one place
How AI agents investigate alerts and run security operations
Free ebook: a practical guide to adopting an AI SOC platform
A practical guide to incident response and digital forensics
Where SOAR playbooks fit and where AI agents take over
October 31, 2026
November 2, 2026
We provide end-to-end SecOps solutions for Managed Security Service Providers (MSSPs), Managed Service Providers (MSPs), and Value-Added Resellers (VARs).
Find out how you can become a ThreatDefence partner.
Protect your entire technology stack and build your SecOps on your own pace
White-labeled AI SOC for every client tenant, co-managed with our SOC team
Launch your SOC business without any upfront investment
Embed security operations, threat intelligence and exposure data in your product
Sovereign SOC for Australian MSPs and MSSPs, with onshore analysts and client data
Set the rules for closing alerts automatically, with evidence checks and review
How MSPs deliver branded security monitoring with a SOC partner
ThreatDefence was an official partner of the Cyber Resilience Summit NSW, 29 October 2026 at Hilton Sydney.
Our team was back at BSides Canberra, and our cyber quiz was a hit again.
Two days in Perth with our partner Ever Nimble, on security operations and cyber resilience.
Sponsors of the AUSCERT Cyber Security Conference on the Gold Coast.
Sponsors of the Gartner Security & Risk Management Summit in March.
Sponsors of the Cyber Security for Critical Assets Summit in Perth, February 2026.
Expert conversations with speakers and attendees at CyberCon Melbourne 2025.
Deliver SIEM services under your own brand. A multi-tenant platform lets your team collect client data, manage detections, and investigate threats from one console, with separate data and access for each client.
A multi-tenant SIEM gives your team a central view of the clients it manages. Analysts can investigate across assigned environments while each client keeps its own data, permissions, configuration, and reports.
For an MSSP, the value comes from reusing common capabilities while adapting the service to each client:
Events, alerts, cases, and reports stay associated with the right tenant.
Common parsers, detection rules, and report templates are maintained centrally.
Analysts, administrators, and client users receive only the access their roles require.
Retention, detection tuning, and reports reflect each client’s needs.
White-label branding adds your identity to the portal, reports, and communications. Multi-tenancy provides the client boundaries behind them. A white label SIEM needs both, along with a clear view of missing sources and other coverage gaps.
For the wider SIEM function, read What Is SIEM as a Service?.
White label SIEM brings client data through collection, processing, and storage into investigations and reports. Each stage must preserve the client identity so shared processing delivers the right evidence to the right environment.
Connectors, collectors, and agents gather supported records from identity, endpoint, email, cloud, and network tools. Trusted connection settings determine which tenant receives them.
Parsers extract useful fields and map equivalent information into a common schema. Keep original records or suitable source references available so investigators can check the underlying evidence.
Rules and analytics flag activity for assessment. Asset, identity, and threat intelligence context help explain what it means for that client.
Store records within the correct tenant scope and apply its retention policy. Confirm how the platform enforces access, whether infrastructure is shared or dedicated.
Analysts search evidence and manage cases within their permissions. Clients receive their own views and reports through your branded service.
A common pipeline reduces repeated maintenance across clients. The tenant boundary still needs to hold at every stage, including when records become alerts, cases, or reports.
Multi-tenant SIEM architecture affects how you manage infrastructure, client boundaries, and updates. Choose a design that meets client requirements and that your team can operate reliably.
A separate workspace does not necessarily have dedicated servers or an independent failure boundary. Shared infrastructure can provide effective logical separation when processing and access controls enforce it.
Assess data location, access requirements, integration constraints, and expected workloads. Client size or industry alone is not enough to choose a design. Ask which resources are shared and what happens if a component fails or a workload exceeds its limits.
SIEM tenant separation needs to work wherever client data is collected, read, or changed. Check the controls behind the interface, including what happens when a user calls an API directly or alters a tenant identifier.
Bind collection to authenticated connections or approved routing settings. Attacker-controlled text inside a log must not be able to redirect it into another tenant.
Enforce access on searches, APIs, reports, exports, and background jobs, including when a caller changes a tenant parameter.
Restrict analysts, client users, service accounts, and integration credentials to their permitted functions and environments.
Protect cases, attachments, dashboards, saved searches, caches, and generated reports as well as raw events.
Require explicit permission to search across clients and identify the source tenant in every result.
Provider administrators may need broader access. Make those privileges and their use reviewable rather than assuming that tenant separation prevents all administrative access.
Start with the events needed to monitor each client, then verify that the chosen integrations deliver them. A connection can be healthy while important event categories or fields are missing.
Cloud APIs, syslog, collectors, and endpoint agents expose different records. Product licensing, audit settings, permissions, and collection methods can affect which events are available.
Check client mapping on shared and dedicated collectors. Protect connections and credentials according to the source and the sensitivity of its data.
Verify event and arrival times, account identifiers, asset details, and fields used by detection rules. Test the required event categories so incomplete records or missing activity do not pass unnoticed.
Monitor failures, delays, API limits, and unexpected volume changes per source. Set silence checks around normal activity; a quiet server and a busy firewall need different expectations.
Local buffering can help during connection failures, within its capacity and retry limits. Show lost or delayed records as gaps so a collection failure is not mistaken for a threat-free period.
SIEM Use Cases connects source requirements with detection needs. The broader client setup process is covered in How to Launch a SOC Service Under Your Brand.
When several clients use the same tool, a centrally maintained parser saves your team from repeating the work. Use versioned common parsers, with client overrides for custom applications, local naming, or changed message formats.
Normalization needs to preserve what happened: the action, outcome, actor, and target. Matching field names do not make different event types equivalent. Missing values should remain identifiable rather than being replaced with defaults that change their meaning.
Keep client overrides clearly scoped so a change for one environment does not alter another’s data. Version parser updates, test representative records, and release changes gradually. Monitor extraction failures and the detections that depend on affected fields.
Original records or source references give analysts a way to resolve uncertainty when parsed details are incomplete.
Build a common detection library your team can maintain across clients. Apply local thresholds and exceptions where needed, and enable each rule only when the client has the evidence it requires.
Record each rule’s owner, purpose, dependencies, changes, and relevant ATT&CK mapping.
Adjust thresholds and narrow exceptions while preserving the shared rule.
Identify rules built for a client’s applications or particular risks.
Test changes before wider deployment and monitor alert volume and investigation quality afterward.
Record the reason, owner, scope, and review date or expiry for suppressions.
Correlation must stay within the correct tenant. Two clients may have the same username or private IP address without the events being related.
Cross-tenant hunting is a separate, authorized operation. Use it to identify affected clients while keeping their findings and supporting evidence in the appropriate client records.
Clients may need different amounts of searchable history and archive storage. Set retention around investigation needs and applicable obligations, checking whether the platform supports policies by tenant and data source.
Test archive recovery before relying on it. Confirm whether you receive original events, normalized records, or both, and whether restored evidence keeps its tenant association.
Cases and attachments may outlast the logs they reference. Set those periods deliberately so analysts and clients understand when supporting evidence will no longer be available.
The SIEM Log Retention guide covers retention planning and relevant framework requirements.
Map where client data travels and who can use it. Include collection, processing, storage, backups, support access, exports, and connected services. A storage region alone does not establish where all processing occurs.
If the service uses AI, include model requests, tool results, investigation memory, and generated summaries. Establish what reaches external model services, what is masked, and how provider terms address retention and training use.
Use encryption in transit and at rest alongside authorization controls. Sensitive content may need filtering or restricted field access, with care to preserve evidence required for investigations.
Agree usable export formats and handling procedures. Exports should identify the tenant, time range, record identifiers, and available original evidence. Control recipients and onward handling once a copy leaves the SIEM.
A central workbench helps analysts move between clients and investigate a threat across several environments. Keep the active tenant visible in searches, cases, and response controls so the wider view does not blur client boundaries.
Give investigators asset criticality, identity relationships, approved activity, and relevant earlier findings. Use tenant-aware identifiers so common hostnames, usernames, and internal addresses remain distinct across environments.
Federated or cross-tenant search lets analysts ask one question across authorized clients. Results should name their source tenant and show incomplete or failed searches. Partial results must not imply that every environment was checked successfully.
Apply the same boundaries to AI agents. Queries, retrieved context, memory, and case output need to follow the authorized scope, including when a hunt finds activity across several clients.
Where supported, PSA or ticketing integrations can create and update the correct client’s cases. Check client mapping, update direction, and how failed synchronization is reported.
Your portal should help clients understand the service they receive. A white label SIEM platform can present their security activity, open findings, and permitted evidence under your brand.
Show monitored sources, collection health, investigations, and open findings.
Let authorized client staff inspect their records, with query and history limits clearly stated.
Give designated users the functions they need without exposing other tenants or provider-wide settings.
Check client scope and recipients for scheduled reports, downloads, and attachments.
Framework-mapped reports can support ISO 27001 or PCI DSS reviews. State the evidence period, systems covered, missing data, and checks requiring further assessment. A dashboard alone does not establish compliance.
For branding across portals, reports, and notifications, read What Is a White-Label SOC?.
Track usage per tenant to understand growth and spot problems before they affect delivery. Useful measures include ingestion rate, processing delay, storage use, query duration, and concurrent jobs.
Data separation and workload separation are different controls. On shared infrastructure, a large export or broad hunt can compete with collection and detection. Check how scheduling, execution limits, or reserved capacity protect essential work.
Make operational limits visible. Analysts should know whether excess work is queued, rejected, or retried, and whether a limit prevented a complete investigation.
Licensing units, infrastructure, retention, and archive retrieval can affect overall cost. The White-Label SOC Pricing Models guide covers the commercial comparison.
Keep a record of who accessed client data and who changed the settings that govern it. Include analyst activity, administrative work, and background jobs so investigations can be traced beyond what appears in the portal.
Record the caller, tenant scope, operation, and outcome, including denied access where supported.
Identify who changed roles, collection routes, retention, parsers, or detections.
Preserve the tenant scope and execution identity for scheduled searches, reports, exports, and automated investigations.
Recheck client assignments and privileged permissions when staff or responsibilities change.
Test direct APIs and scheduled outputs as well as portal views. A correctly scoped dashboard or report is only one part of verifying that client data stays protected.
For a wider provider evaluation and trial, read How to Choose a White-Label SOC Provider.
ThreatDefence includes SIEM in a multi-tenant AI SOC platform with a 24x7 SOC behind it, available under your brand. Each client has its own tenant for data, access, retention, and response rules.
Your analysts manage assigned clients from one console and search across them within their permissions. AI agents investigate alerts across every connected source. Cases can route into ConnectWise, Autotask, HaloPSA, ServiceNow, or another ticketing system you use.
SIEM shares the same license as the other SecOps capabilities, priced per user with no charge on log volume.
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Explore the White-Label SOC Platform
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A white label SIEM is a security information and event management platform delivered under your brand. Branding can cover the client portal, reports, and notifications. Who operates the platform and supplies SOC analysts depends on the service agreement.
A multi-tenant SIEM manages several client environments with separate data, permissions, and settings. Authorized analysts work across assigned clients from central operations, with shared content that reduces repeated maintenance.
Use separate deployments when a client’s requirements justify dedicated infrastructure or independent operational control. Centrally managed workspaces and shared tenant-aware platforms are alternatives. Compare data separation, location, integrations, and workload requirements before choosing.
Use trusted tenant assignment, tenant-aware processing and storage, and server-side authorization. Apply those controls to searches, APIs, reports, exports, automation, and privileged access. A dashboard filter alone is insufficient.
Yes, where the platform supports per-tenant policies. Confirm searchable history, archive retrieval, and deletion behavior. Check support for source-specific policies and preservation holds if those are required.
Maintain a versioned shared library with controlled client tuning and clearly identified local rules. Validate data dependencies, test changes before wider release, and review alert quality and exceptions afterward.
Yes, where a supported integration creates or updates tickets from alerts or cases. Verify client mapping, update direction, permitted recipients, and how failed updates are surfaced.
No. SIEM provides data and detection capabilities. A managed SOC also needs people and procedures for investigation, escalation, and response during the agreed coverage hours. A provider can supply some or all of that support.
What Is SIEM as a Service?
SIEM Log Retention
White-Label SOC Pricing Models