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AI & Collective Intelligence

What happens to what Agentic AI learns?

Agentic AI can speed up one investigation. UnifiedONE helps turn eligible, validated findings into defensive knowledge that other participating environments can use under their own policies and controls.

Artificial Intelligence → Collective Intelligence → Collective Protection.
Join the CommunitySee how it works

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Illustrative flow. No customer data.
  • Customer data stays local
  • Lessons others can use
  • People stay in control

The problem

A local finding needs a route to wider defence.

AI and security tools can work across many systems. A finding from one independently operated environment still needs validation, sharing rules and a local decision before another can act on it.

Kept insideNot shared

Private details block useful sharing.

Useful indicators can be tied to sensitive case details, making safe reuse harder.

With UnifiedONEPrivacy-safe lesson

The lesson travels. The data stays.

UnifiedONE correlates evidence, scores confidence and checks what eligible participants may receive.

Evidence from one investigation

Different signals tell part of the story. They become useful when their relationships and limits stay visible.

Endpoint

A new process connects to unusual infrastructure.

Identity

A risky sign-in overlaps the same time window.

Email

A message carries a related sender pattern.

Analyst review

The team records what is known and what remains uncertain.

Reasoning layer

Corroborate the relationship, weigh source reliability and keep uncertainty explicit.

Defensive indicatorConfidence and reputation

Validated defensive lesson

A related infrastructure pattern is ready for a governed publication decision.

Defensive indicator
Related infrastructure pattern
Confidence and reputation
Reviewed with DCRE — Dynamic Confidence & Reputation

Publication boundary

Choose what the community record can contain. The tenant keeps its evidence and decides what happens next.

Retained sensitive fieldsCustomer identity, users, files, messages and investigation detail remain in the source environment.
Current scope

No lesson is shared. The evidence stays in this environment.

Private

Built for your team

Shared learning. For every team.

SMBs

Benefit from lessons learned by larger security teams.

MSPs & MSSPs

Use a validated finding to inform eligible customers under each customer's rules.

Enterprises

Contribute to collective defence while data stays inside your boundaries.

SOC teams

See where a lesson came from and how reliable it is.

Technical detail

Explainability comes before publication.

A finding is not community intelligence merely because a model surfaced it. Enrichment, correlation, source reliability and review establish whether the lesson is defensible.

Does UnifiedONE replace our AI or security tools?

No. It adds a reasoning and sharing layer around connected tools. Your team keeps its existing controls, policies and approvals.

What reaches other organisations?

Only privacy-safe defensive knowledge may be shared according to participation rules. Customer identity, users, files, messages and investigation detail stay private.

What does DCRE mean?

DCRE means Dynamic Confidence & Reputation. It weighs source reliability, recency and contradictory evidence before a lesson can be considered for publication.

Does publication protect every participant automatically?

No. A shared lesson is an input. Relevance, local policy, permissions, supported controls and licensing determine what can happen in each environment.

Start here

Let a useful finding go further.

Share the defensive lesson. Keep customer data and response decisions local.

Join the CommunityCommunity Shared Defence

Create your account and start your guided onboarding.