From Fortune 500 and Global 5000 enterprises to regulated mid-market organizations.
Understand every entity. Power every security decision.
Collect what's needed and filter in-stream with AI-led data pipeline management, then store it where you choose — your lake, a 3rd-party SIEM, on-prem, or Gurucul. Analyze what matters at a cost you control.
Keep firewall and DNS logs hot for hunting; down-sample and route noisy sources like verbose proxy and NetFlow to the low-cost storage of your choice — 40–87% lower ingest, and no dropped sources to stay under license.
Feed HR events, badge swipes and endpoint-DLP into behavioral scoring without paying ingest rates — full context on every identity, only the bill for what matters.
Behavioral AI and traditional detections read active risk across every user, machine and AI system — turning drift and intent into one explainable score, so you see the threat forming, not just the alert.
A service account runs the same job every night, suddenly scans a container it's never touched before and is flagged by Behavioral AI. As the intruder moves laterally, a static rule catches an attacker tool by its hash. Fused, they deliver validity and context in one rising case, not five scattered alerts.
A trusted admin starts pulling from Salesforce and SharePoint at 2am the week after a poor review. Peer-group baselining reads it as intent forming — surfacing risk weeks before data moves.
Unified Entity Intelligence predicts the next move and agents and analysts act on it — isolating, revoking and blocking within your guardrails to stop the threat before the damage. Grounded in context, moving at machine speed, with humans in command.
The case predicts intent and ransomware as the likely next move. Within guardrails, the agent isolates the host and revokes the session before encryption starts — the analyst approves the play, and every action is logged.
A contractor's access request, a mass download, then a personal-cloud upload chain into one case — and it's blocked inline across every egress point (upload, email, USB, print), with the full timeline handed to HR and Legal.
A native AI SOC analyst and its agents run the case end to end on one shared model of risk, then hand your team a decision instead of a pile of alerts.
Works every alert, 24/7, closing false positives and surfacing true threats. The day opens with a short, ranked queue.
Builds the case — identity, behavior and blast-radius context, MITRE-mapped, timeline assembled. Grounded in evidence.
Predicts the likely next move and proposes the response play — with the proof-chain attached for the analyst to review.
Executes within your guardrails — isolate, revoke, step-up — analyst in command, every action logged.
Plenty of vendors slap an “AI” label on static rules, or bolt a chatbot onto your alerts. Gurucul fuses real machine learning with symbolic logic into Unified Entity Intelligence: it shows its work, and it holds up in an audit.
One case for analysts and AI to work — not 50 alerts and 20 queries to puzzle over.
Behavioral AI and traditional detections corroborate on the graph; noise and hallucinations drop away.
A clear, contextual map for AI to reason over in defined steps — fewer tokens, less compute.
Detection engineering, correlation, investigation, response, case management and reporting — flexible for any SOC.
ExploreAgentic triage, investigation & response, 24/7 — grounded on Unified Entity Intelligence.
ExploreDetect and investigate risky human and machine behavior, with agentless behavioral DLP.
ExploreAny source to any lake, with in-stream filtering and cost control.
ExploreDiscover, monitor, and secure AI agents and shadow AI: inventory, risk and exposure scoring, policy guardrails, and response.
ExploreRisk-driven, automated response playbooks across your stack.
ExploreCustomers are reducing costs, false positives and MTTR across their insider risk and security programs.
Migrated 16 log sources in two weeks. Data Optimizer cut data costs; manual alerting became automated.
Rebuilt the insider-threat program with Gurucul's entity intelligence: more stable and scalable, fewer false positives, faster response via XSOAR.
Consolidated SIEM and UEBA on one solution, wired into their Snowflake lake — real-time detection, fewer false positives.