Cross-surface correlation
Joins signals from email, workspace, DLP, identity and cloud into a single chain.
Hive Mind connects separate alerts into one attack chain
Correlate attack chains across email, workspace, DLP, identity and cloud signals, then remediate them with an agent that explains every step.
See it work
An agent that works the chain, inside your boundaries
Hive Mind correlates alerts from across the workspace into one chain, proposes the fix, and acts only where your team has said it may. Everything else waits for approval or is left untouched.
Working 1
- Chain AInvoice fraud to data exfiltrationEmailWorkspaceDLPIdentity3 of 4 actions resolved · 1 awaiting approval
Needs approval 1
- Disable account j.chen and end sessionsAwaiting approval
Done 3
- Quarantine the invoice lure in 14 mailboxesContained
- Revoke the outside share on Q3-board.pdfContained
- Delete copies in /Legal/Litigation-holdLeft untouched
How it works
From scattered alerts to one chain
- Step 1
Join signals across surfaces
Artifact identity is strongest. Actor identity adds context. Time proximity narrows the search but never creates a link on its own.
- Step 2
Score chains deterministically
High-value events seed a bounded search. A chain requires two or more surfaces, at least one strong evidence edge, and sufficient combined evidence before agent review.
- Step 3
Adjudicate and contain
The agent investigates and explains surviving chains. Actions default to propose-only, with tenant allowlists, evidence floors, scope caps, approval boundaries, and an audit trail.
Capabilities
What Hive Mind covers
Artifact-first linking
The same file, link or message is the strongest evidence. Actor identity adds context.
Bounded time windows
Time proximity narrows the search but never creates a link on its own.
Deterministic scoring
High-value events seed a bounded search, and chains are scored before any agent sees them.
Agentic remediation
The agent investigates surviving chains, explains them and proposes containment.
Guardrails and audit
Tenant allowlists, evidence floors, scope caps and approval boundaries, with a full audit trail.
How we build it
Designed to be trusted
- Time alone never creates a link.
- A chain needs two or more surfaces and at least one strong evidence edge.
- Actions default to propose-only, and every step is audited.
Further reading
From our research
Frequently asked questions
What is an attack chain?
A sequence of related events across different surfaces. For example, a malicious email, then an externally shared file, then outbound data.
Will Hive Mind act on its own?
Actions default to propose-only. You set tenant allowlists, evidence floors, scope caps and approval boundaries, and every action is recorded in an audit trail.
Why not correlate events by time?
Events that happen close together are often unrelated. Hive Mind uses time only to narrow the search. A link needs artifact or actor evidence.
The platform
Works with the rest of Himaya
Each module deploys on its own, and they share one context layer when you run them together.
- Email SecurityAgentic email security that investigates like a team of senior analysts
- Data Loss PreventionData loss prevention that reads before it sends
- DSPMSee every data store, and what is exposed in it
- Falcon Agent & MCPYour agentic security engineer, in Himaya and in your AI tools
- Data SovereigntyKnow where your data lives, and keep it there
- ComplianceCompliance evidence that collects itself
- Inbox PostureKeep every mailbox hardened
See Himaya Hive Mind in your workspace
Book a walkthrough to learn more.