Automate the Hunt. Elevate the Hunter.
Automated threat hunting that validates hypotheses end-to-end. Simbian's AI Threat Hunt Agent runs federated hunts across Microsoft Sentinel, Splunk, EDR, cloud, and identity in parallel, across months of data, without an analyst in the loop.
Trusted by leading enterprises and MSSPs
Simbian's Automated Threat Hunting Platform: From Hypothesis to Verdict
AI threat hunting and automated threat hunting in one platform. Runs continuously, validates in parallel, and feeds every other agent on the Simbian stack. 24x7, no playbooks.
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AI for Automated SecOps
Threat hunting doesn't sit in a silo. Simbian's AI Threat Hunt Agent shares Context Lake™ with the AI SOC, Pentest, GRC, and NetSecOps Agents. Every hunt finding hardens the rest of your stack.
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SecDevOpsSecDevOpsWhy Manual and Managed Threat Hunting Both Miss Adversaries
Threat Hunters Aren't Underperforming. They're Underscaled.
A typical threat hunt takes 10–20 hours of cross-tool investigation. The average senior hunter validates one to two hypotheses a day. Most hypotheses never get tested, not for lack of ideas, but lack of capacity.
Meanwhile, 50% of breaches are still surfaced by outsiders (Verizon DBIR, 2024). Living-off-the-land and low-and-slow attacks slip past detection rules, and your hunters can't reach them in time. Manual threat hunting is structurally outpaced by the threats it's meant to find. Managed threat hunting services trade scale for vendor dependency and high ongoing cost.
- 10–20 hours per manual threat hunt; most hypotheses never tested
- Recent weeks of data accessible manually; months of historical telemetry stay invisible
- 61% of orgs cite staffing as the top threat hunting barrier (SANS, 2025)
Simbian Validates 50+ Hypotheses a Week, Autonomously
Simbian's AI Threat Hunt Agent executes hunts end-to-end across Microsoft Sentinel, Splunk, EDR, cloud, and identity. In parallel, against months of historical data. Hypothesis to verdict in minutes. Autonomous threat hunting that runs while your team sleeps.
Context Lake™ reasons across security and non-security data (HR, CMDB, tribal knowledge) so hunts are org-specific from the first query. Every finding writes back, so every other Simbian Agent gets smarter.
- 5–10× hunter productivity in production deployments
- Months of historical hunt data, federated across the full security stack
- Every hunt finding hardens SOC alerts and scopes the next pentest
Manual vs Managed vs Automated Threat Hunting: Simbian's AI Threat Hunt Agent
AI Threat Hunt AgentAutomated Threat Hunting Platform Across Microsoft Sentinel, Splunk, and 100+ Tools
Federated reasoning across the security data lakes, EDR, cloud, and identity tools your hunters already use. No agent install. No data migration.
Cyber Threat Hunting FAQs
No. Simbian's AI Threat Hunt Agent queries Microsoft Sentinel and Splunk natively. It doesn't replace them. Federated reasoning unifies evidence across your security data lakes, EDR, cloud, and identity tools simultaneously. Your existing security stack stays in place; the AI Threat Hunt Agent makes it hunt at machine speed.
Threat hunting, also called cyber threat hunting or proactive threat hunting, is the practice of searching through security telemetry for adversary behaviour that has evaded automated detection rules. Hunters form a hypothesis (e.g., "are we seeing living-off-the-land binaries in privileged sessions?"), then validate it across SIEM, EDR, identity, and cloud using threat hunting techniques like MITRE ATT&CK mapping, anomaly detection, and behavioural analytics. A modern threat hunting platform like Simbian's AI Threat Hunt Agent replaces the 10–20 hours of manual cross-tool investigation with end-to-end threat hunting automation. Same rigour, machine speed.
Query assistants generate queries; your analyst still runs the hunt. Simbian's AI Threat Hunt Agent runs the hunt end-to-end. It maps every hypothesis to MITRE ATT&CK techniques, queries every connected tool in parallel, applies Context Lake™ enrichment for org-specific filtering, and returns a verdict with a full reasoning trace. This is autonomous threat hunting and a complete automated threat hunting tool, not autonomous query authoring.
No. That's the bottleneck the agent removes. Every hypothesis returns a verdict (confirmed or refuted) with a full reasoning trace, evidence chain, and MITRE ATT&CK mapping. Hunters audit conclusions, not raw logs. Human-in-control, not human-in-the-loop. A bad hypothesis costs minutes instead of 10–20 hours, so your team tests far more of them and finds what others miss.
Simbian is a Microsoft Partner with a joint preview integration into the Microsoft Sentinel data lake. M365 E5 customers can run autonomous threat hunts across months of Sentinel telemetry: broad sweep across the full data lake, deep investigation with Context Lake™ enrichment, and policy-tuned containment. Every hunt amplifies Sentinel and Defender value without leaving the Microsoft stack.
Yes. That's the point of automated threat hunting at scale. Months of historical telemetry across Sentinel, Splunk, EDR, and identity. MITRE ATT&CK technique mapping for every hypothesis. Context Lake™ for org-specific behavioural baseline. Slow-and-low and LOTL attacks that evade real-time detection show up in historical data, and Simbian's AI Threat Hunt Agent reaches them at machine speed, 24/7.
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