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.
24×7 managed detection and response across endpoint, network, cloud, identity, and log sources
Eyes-on-glass SOC and continuous threat hunting
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
Get ultimate assurance that your environment is free from threat actors
Quickly recover from cyber attacks and breaches
24×7 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
Cloud-based SIEM platform providing visibility across all your data sources
Manage your external footprint, publicly available data, and Dark Web leaks
AI triage, investigation and response on the tools you already run
Fully featured distrubuted NDR for on-premises and public cloud environments
Deploy honeypots and honeytokens and stay ahead of threat actors
Every alert investigated, with a verdict and the evidence behind it
Integrated endpoint agent providing deep visibility, response and forensics
Log management and threat detection across any of your log sources
A SecOps platform purpose-built for industrial and OT environments
ThreatDefence puts security and compliance at the heart of our service, keeping your data protected at all times.
See how we keep your data secure.
Guides, case studies, and advisories in one place
Read what our customers say about us
Solution briefs and datasheets
Technical support and knowledge base
What to check in your Microsoft 365 tenant
Remote code execution flaws that need patching now
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 Incident Response and Digital Forensics
Read how cyber range helps to train cyber defenders
How AI agents investigate alerts and run security operations
How AI SOC platforms work, from integrations to autonomy
Free ebook: a practical guide to adopting an AI SOC platform
How brand impersonation works and how to detect and stop it
How lookalike domain attacks work and how to take them down
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
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.
Where SOAR playbooks fit, where AI agents take over, and how the two work together.
AI SOC hyperautomation transforms cybersecurity ops by autonomously detecting, analyzing, and remediating threats.
Honored to Support the Launch of the University of Technology Sydney Cybersecurity Precinct!
ThreatDefence Cyber had the privilege of meeting with Honeywell Dubai’s Digital City leadership to explore synergies in OT/SCADA and…
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Equinox to support companies with ready to use, end-to-end SecOps infrastructure, including a full stack platform able to capture and…
ThreatDefence had an amazing time at AISA CyberCon 2024, connecting with industry leaders and advancing cyber security conversations.
Every alert investigated. Evidence behind every verdict. ThreatDefence brings AI triage, investigation, response, hunting, and detection engineering together across the security tools you already use.
Your tools see different parts of the same attack. ThreatDefence connects them so AI agents can follow the evidence from the first signal through to response.
Turn alerts into completed investigations and coordinated response. ThreatDefence brings evidence from across your stack into one case, identifies what needs attention, and carries out approved actions. Your team controls the decisions that matter.
AI agents investigate alerts with asset, identity, and threat context, resolving known benign activity and escalating suspicious cases with evidence.
Agents connect evidence across tools, build a timeline, and assess the scope, giving analysts clear findings to review.
Execute containment within approved limits, with checks and approvals for each action. Record outcomes and pending decisions in the case.
Go from incoming alerts to investigated cases and coordinated response. AI agents gather evidence, prioritize threats, and prepare actions across your security tools, helping your team handle more alerts and act faster.
Agents investigate alerts across connected tools, resolve benign activity within approved policies, and escalate suspicious or uncertain cases with supporting evidence.
Keep verdicts, evidence, timelines, actions, and approvals together from investigation to closure, with two-way ServiceNow synchronization.
Coordinate containment across tools, enforce approvals and execution limits, and track remediation tasks through to completion.
Search retained telemetry for persistence, account abuse, exfiltration, and network anomalies. Turn validated findings into cases and detection improvements.
Prioritize exposed assets, leaked credentials, impersonating domains, and control gaps, bringing relevant risk context into investigations.
Generate service reports, incident timelines, and executive briefings from investigation records, supported by coverage, response, and quality metrics.
Bring AI-powered, end-to-end security operations to the tools you already own. Agents query live evidence, connect activity across systems, and coordinate triage, investigation, threat hunting, and response.
Investigate alerts, contain threats, and improve detections across your security stack.
AI agents investigate incoming alerts using live evidence and threat context. False positives close under your policies, while suspicious cases reach analysts ready for review.
Know what happened and what needs action. Each assessment brings together the verdict, supporting evidence, and recommended next steps.
Trace threats across accounts, endpoints, and networks. Attack paths connect related activity, showing affected systems and where containment is needed.
Coordinate response across your tools, from session revocation to endpoint isolation. Actions run within approved limits or wait for analyst approval.
Turn investigation outcomes into better detection rules. AI proposes changes for review, helping reduce recurring noise and close coverage gaps.
Bring alerts, investigations, approvals, and response actions together on one case board. Analysts can see what AI agents are investigating, which cases need attention, who owns the next step, and how much SLA time remains.
Each case opens into a complete investigation record: evidence, related activity, timelines, agent queries, verdicts, and action history. Analysts can review findings, add context, assign work, and approve responses from the same workspace.
Clear ownership and a shared history keep investigations moving across shifts and teams. Two-way ServiceNow synchronization keeps tickets and case updates aligned, while reporting draws from the same operational record.
Start with AI-led investigations and expand automation at your own pace. Set operating modes for each workflow and action type, keeping control over what requires approval and what can run independently.
Agents investigate and recommend. Analysts review the findings, decide the outcome, and initiate response.
Agents prepare case closures or response actions for an authorized analyst to approve before execution.
Agents execute explicitly authorized actions within defined conditions and scope limits. High-impact actions remain subject to human approval.
The platform allows you to set autonomy for each workflow and action type, from recommendations to approved execution and autonomous response. You control permissions, approval rules, and execution limits, with the ability to suspend any workflow immediately. Every action and configuration change is recorded for review.
Discover how ThreatDefence brings investigation and response together across your security tools.
Move your analysts beyond repetitive triage and give them more time for investigation, hunting, and detection engineering. Each analyst can work with an AI agent connected to the platform, using plain-language questions and reusable skills to explore data and develop their expertise.
/td hunt m365-signin-forensics --days 30
Scanned 30 days of sign-ins for acme-corpglobex-corpinitech. Three findings, every query is attached to the hunt record.
Want me to open a case for the first finding and draft a detection for token replay followed by rule creation?
/td hunt endpoint-persistence --days 30
Checked scheduled tasks, services and run keys on 214 endpoints in acme-corpglobex-corpinitech. Three findings.
Want me to open a case for FS-02 and pull the full process tree for the scheduled task?
/td hunt data-exfiltration --days 14
Compared outbound volumes in acme-corpglobex-corpinitech against each host’s 90-day baseline. Three findings.
Want me to open a case for the engineering workstation and list the files that were archived?
/td hunt ndr-network-anomalies --days 7
Analyzed 7 days of flows and DNS for acme-corpglobex-corpinitech. Three findings.
Want me to open a case for the beaconing host and check which process owns the connection?
/td hunt leaked-credentials --days 90
Matched breach and infostealer data against accounts in acme-corpglobex-corpinitech. Three findings.
Want me to open a case for the finance user and prepare a password reset and session revocation for approval?
/td hunt full-hunt-sweep --days 30
Ran 14 hunting skills across acme-corpglobex-corpinitech. Three findings need attention.
Want me to open cases for the first two findings and attach the queries from this sweep?
Drill into your data, test hypotheses, and trace activity across connected tools.
Use the skills library to apply specialist investigation techniques and build confidence in unfamiliar areas.
Turn successful investigations into reusable skills that strengthen the whole team.
Use analyst feedback to refine skills, enrich customer context, and improve future investigations.
AI changes how people spend their time, which skills they need, and how they oversee investigations. Understanding the shift role by role helps leaders plan training, set expectations, and assign responsibilities.
As agents take on evidence collection and routine investigation, analysts have more time to assess complex threats, hunt for overlooked activity, and improve detections. Managers oversee the quality of both human and agent work, while security leaders gain a clearer view of coverage and risk. Across the team, the emphasis shifts toward asking better questions, validating findings, and turning investigation outcomes into stronger security operations.
Builds a view of security coverage, performance, and risk from separate reports.
Uses consolidated evidence and quality metrics to guide investment, assess risk, and set autonomy limits.
Manages alert queues, staffing, shift coverage, and service quality.
Oversees analysts and agents, using investigation quality and workload data to refine workflows and coverage.
Collects evidence across tools, investigates alerts, and documents findings.
Reviews agent investigations, resolves uncertainty, and directs response, with more time for complex cases and threat hunting.
Collects forensic artifacts, reconstructs timelines, and determines incident scope.
Uses agents to accelerate artifact analysis and timeline building, focusing on evidence integrity, forensic interpretation, and incident response.
Reviews sources, validates indicators, and assesses threats relevant to the organization.
Uses agents to collect and correlate intelligence, focusing on source reliability, threat relevance, and defensive priorities.
Writes detection logic, tests coverage, and tunes rules using investigation feedback.
Validates AI-proposed detections and tuning changes, tests for gaps, and develops coverage from observed attacks.
The platform enforces agent permissions, execution limits, and approval rules outside the AI model. Each agent runs in an isolated sandbox under version-controlled policies, with every investigation available for review.
Agents access only the tools and actions their workflow needs, with limits on response targets, volume, and frequency.
Agents work with credential placeholders. Secrets are supplied only when an authorized tool connects to an approved endpoint.
Emails, alerts, and logs are treated as evidence. Instructions planted inside them cannot override platform permissions or approval rules.
Verdicts reference supporting queries and results. Low confidence, conflicting evidence, or missing context sends the case to an analyst.
Each customer’s data, agent memory, and cases remain separate. The platform validates tenant scope on every tool call.
Queries, results, verdicts, actions, approvals, and policy events are recorded, giving analysts an exportable history of each investigation.
Run security operations across your clients from one platform, under your own brand. A shared operations queue brings investigations, approvals, escalations, and SLAs into one view, with each client’s procedures and context built into the work.
Each tenant keeps its data, credentials, agent memory, and cases separate, with permissions and autonomy configured per client. Authorized analysts can hunt across tenants, share reusable methods, and work together on investigations. Skills and detection content your team develops remain yours.
Explore AI SOC for MSPs and MSSPs
Add capabilities as your needs grow, all managed through the same portal. Each module gives AI agents more evidence and context, with shared permissions, approval controls, and case records across the platform.
AI triage, investigation, response, threat hunting, detection engineering, case management, and reporting across your connected tools.
Detect lookalike domains, cloned websites, and impersonating profiles.
Identify exposed credentials and references to your organization in underground sources.
Discover internet-facing assets, exposed services, and security weaknesses.
Investigate Microsoft 365 identity threats, risky applications, and account activity.
Monitor internal and outbound network activity for suspicious behavior.
Track security posture, control gaps, risk ownership, and remediation priorities.
Understand which AI tools are in use and what data is being shared with them.
Collect and retain security telemetry, with detections maintained by ThreatDefence engineers.
Faster investigations. Clear evidence. Coordinated response.
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The ThreatDefence AI SOC platform brings triage, investigation, response, threat hunting, and detection engineering into one workspace. AI agents gather evidence across connected tools and prepare findings and actions, while analysts direct the work and control material decisions.
Yes. The platform connects to SIEM, EDR, XDR, identity, email, cloud, network, and SaaS tools through their APIs. Agents query live evidence across your stack and execute approved actions under the permissions you control.
The platform supports investigation, case management, response, threat hunting, detection engineering, cyber risk management, and reporting. Shared security context and case records keep findings, actions, and decisions connected.
Yes, within limits you approve. The platform supports co-pilot, approval-required, and autonomous modes per workflow and action type, with target restrictions and execution limits. You can reduce permissions or suspend individual workflows immediately.
Each verdict links to supporting evidence, queries, and results so analysts can check the assessment. Uncertain cases are escalated, while sampling and quality reporting track analyst agreement, overrides, incorrect closures, and missed escalations.
Permissions and approval rules are enforced outside the AI model. Agents run in isolated sandboxes, credentials are brokered through placeholders, and every tool call is checked against the authorized tenant and scope.
Agents handle evidence gathering and routine investigation, giving analysts more time for complex incidents, hunting, and detection engineering. Analysts can also use their own AI agents to drill into platform data, run specialist skills, and create reusable methods for the team.
Yes. Capabilities include brand protection, dark web monitoring, attack surface management, ITDR, NDR, cyber risk management, and AI governance. These work through the same platform, adding context and capabilities as your needs grow.
Yes. Partners can deliver the platform under their own brand, with one operations queue across clients. Each tenant retains separate data, permissions, procedures, and autonomy settings, and partners retain ownership of the skills they develop.
Initial AI triage can begin within the first few weeks, depending on API access, integration requirements, and data readiness. Start with selected alert sources in co-pilot mode, validate investigation quality, and expand from there.