Agents learn your language
They learn your teams’ terms, shorthand, and ways of working, then create a shared understanding of what everything means.
Knowledge Engine for Security & Cyber Operations
Bring alerts, assets, identities, tickets, threat intelligence, policies, and prior investigations into one evidence-backed workflow—from triage to response.
Threat investigation workspace
I connected identity, endpoint, cloud activity, asset ownership, threat intelligence, and prior investigations. I’m preparing the investigation now.
58%
lower token cost
when using Knowledge Engine
2x
more tasks
vs. frontier models
32%
more accurate with open source
vs frontier model
19 of 34
tacit-knowledge facts captured
vs. RAG’s 1
Source: “Knowledge Engine Platform for Long-Horizon Professional Agents” and “Context Graphs for Recovering Tacit Organizational Knowledge”, Accrete AI, August 2026.
Security teams have no shortage of alerts. The difficult work is connecting a signal to the affected asset, identity, business service, relevant history, policy, and threat context quickly enough to decide what happens next.
Security & Cyber Operations cognitive fabric
Agents learn the language of the work, create the data flows that connect its systems, and build a living context graph for each request.
They learn your teams’ terms, shorthand, and ways of working, then create a shared understanding of what everything means.
They create the data flows that bring the right information together for each task, without manual setup for every source.
They connect people, records, decisions, and outcomes while preserving a clear path back to the source.
Connected systems
Explore 1,000+ integrations →Workflows
01
Combine security telemetry with asset criticality, identity context, ownership, current exposure, and prior activity to determine which signals deserve attention first.
02
Trace relevant relationships across systems and produce a brief that separates confirmed facts, derived context, open questions, and recommended next steps.
03
Draft the response plan, assign work, prepare leadership updates, and require review before consequential changes run in a connected system.
One end-to-end example
01
Gather the alert, endpoint and identity context, asset ownership, related tickets, threat intelligence, policies, and prior investigations.
02
Establish a timeline, identify connected entities and activity, test likely explanations, and surface the evidence behind each material claim.
03
Produce an investigation brief with findings, confidence boundaries, affected resources, open questions, and recommended actions.
04
Apply source permissions and organization policies, then ask for approval before containment, ticket, identity, or infrastructure changes.
What the team gets
The business, identity, asset, and historical context required to judge urgency.
A reviewable timeline, findings, source evidence, uncertainty, and recommended response.
Approved actions, owners, status, and the decision trail preserved for review and reuse.
Context that compounds
Teams should not have to pause the work to document every lesson. The decisions they review, correct, approve, and reuse can make the next workflow better informed.

01
Analyst pivots, dismissed explanations, confidence changes, approvals, and response decisions reveal how the signal was judged.
02
Relate that judgment to identities, assets, events, threat intelligence, policies, tickets, and prior cases.
03
Later alerts can begin with more of the organization’s prior investigative reasoning available.
Source records remain the authority. The Knowledge Engine keeps extracted evidence and inferred relationships distinguishable so people can inspect what the organization recorded and what the system derived.
The Accrete product
The Knowledge Engine provides a governed investigation and workflow layer across approved security and enterprise systems. Specific read and action capabilities depend on the connected provider, account permissions, and organization policy.
Agent Lab and Custom Skills
Gather and enrich the evidence, establish the timeline, and draft the investigation under the team’s policy.
Preserve the approved procedure, evidence requirements, and approval boundaries for later investigations.
Start with one workflow
Bring the workflow, its information sources, its approval requirements, and the result your team needs. We’ll map a focused first deployment and the path to reuse.
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