Evaluate Breakwater ASOC

Bring agentic AI to your SOC. Keep control of the response.

Breakwater ASOC connects evidence across IT, IoT and OT. Use AI to investigate threats and rehearse response options. Your team authorizes change and verifies the outcome.

Evaluation guide (PDF / 5 pages) →

A focused scope. Agreed success measures. A decision your team can defend.

Choose a starting point

Start where the decision matters most.

Choose one product workflow first. Extend across Discover, Provenance and Response when the asset, service and source relationships are established.

01Discover

Which exposures could reach a critical service?

Start with one service or network segment and an agreed set of asset and connection evidence.

Evidence to review together

An attack-path review: supporting relationships, evidence gaps and the next validation steps.

Trace exposure →Evaluation brief (PDF / 2 pages) →
02Provenance

Which software findings deserve engineering action?

Start with one repository and a known finding set, including software dependencies or cryptographic uses.

Evidence to review together

A source-backed review: exact references, validation results and an accountable engineering handoff.

Validate the finding →Evaluation brief (PDF / 2 pages) →
03Response

Can AI help us reach a response we can authorize?

Start with one reproducible investigation, an operations owner and an agreed model configuration.

Evidence to review together

A reviewed proposal: competing explanations, rehearsal findings, approval scope and verification criteria.

Investigate and respond →Evaluation brief (PDF / 2 pages) →

From first question to adoption decision

A clear path through the evaluation.

Agree the scope and acceptance criteria before the first run. Use the same inputs and time basis to compare your current process with the selected ASOC workflow.

  1. 01

    Scope

    Choose the case, evidence, owners and operating boundaries.

    Agreed evaluation brief
  2. 02

    Investigate

    Run the case. Review AI contributions and the sources behind them.

    Comparable results
  3. 03

    Challenge

    Test ambiguity, stale evidence and the approval boundary.

    Observed limits and controls
  4. 04

    Decide

    Review the value, operating effort and work needed to expand.

    Documented next step

Set the schedule together around data readiness, integrations, reviewers and operating windows.

Agentic AI / Human control

Agentic AI investigation.
Human-controlled response.

An engineering workstation behaves unusually after maintenance. Use a reproducible case to examine intrusion and legitimate change, then compare the response with its operational consequences.

01

Connect the evidence

Operational context

Assets & connectionsSystems / Relationships / Exposure
Software & cryptographySource / Dependencies / CBOM
Security observationsSignals / Findings / Context
Evidence for investigation
Establish what is known and where evidence is missing.
02

Investigate with agentic AI

The Council / Multiple AI reasoning roles

Five AI reasoning roles examine one investigationSentinel, Pathfinder, Arbiter, Skeptic and Warden connect to the same evidence and investigation.One sharedinvestigationSentinelPathfinderArbiterSkepticWarden
InvestigateChallengeRehearse
Examine competing explanations. Preserve dissent. Prepare a proposal.
03

Govern the response

From proposal to decision

Response proposal
Target & scope
Define the boundary
Impact & recovery
Review the options
Permissions
Confirm authority
Human authorization
Verify outcome / Retain decision record
Your team reviews the action and agrees how to verify the result.

What each Council role contributes

Each role examines a different part of the same investigation. Compare its rationale with the evidence and the other roles before selecting a response.

  1. 01

    Sentinel

    Triage the signal

    Classifies the activity and identifies a relevant attack technique.

    Does the workstation activity warrant an intrusion investigation?

  2. 02

    Pathfinder

    Reason about the attack path

    Examines a plausible attack sequence and the attacker’s possible next step.

    Where could this access lead, and which relationship needs checking?

  3. 03

    Arbiter

    Interpret the wider pattern

    Assesses whether the activity suggests human-operated intrusion or automated noise.

    Does the sequence support a coordinated intrusion?

  4. 04

    Skeptic

    Test a benign explanation

    Proposes an alternative explanation and examines whether it survives the evidence.

    Could the authorized rollout explain the same observations?

  5. 05

    Warden

    Prepare the response option

    Proposes a specific containment action for review, rehearsal and authorization.

    Which host, session or key should the team consider restricting?

Roles use the configured model backend and may share a model or use distinct models. Evaluate the actual reasoning and evidence; your team retains authority over operational change.

Explore the Council / Response solution guide, pages 2–3 (PDF) →
01

Challenge the explanation

Ask whether the rollout explains the activity. Inspect the Council’s rationale, dissent and missing evidence against asset, source and observation records.

Evidence to review together

Retain role outputs and reviewer corrections.

02

Rehearse the intended action

Compare a scoped connection restriction with broader isolation. Check that the dry run matches the proposed operation and target.

Evidence to review together

Review service impact, omitted effects and recovery.

03

Verify authority and outcomes

Test a changed target or expired approval. On the supported test path, inspect service checks and escalation when recovery is incomplete.

Evidence to review together

Retain the human decision and actual outcome.

Explore the reasoning and control workflow / Response solution guide (PDF) →

Measure the value / Keep the evidence

Judge the result on more than a demo.

Set a baseline and acceptance thresholds with your team. Retain the evidence behind both successful results and cases that need more work.

01 / Decision quality

Can a reviewer trace the conclusion?

What to test

Check source references, evidence freshness and reviewer corrections against the same case.

What to retain

A reviewable finding with unresolved gaps recorded.

02 / AI contribution

Does the investigation improve?

What to test

Compare analyst effort and useful findings. Introduce ambiguity and check how the explanation changes.

What to retain

Sources, alternatives, corrections and time spent.

03 / Operational control

Does authority hold when the case changes?

What to test

Test an altered target or expired approval. In an agreed lab path, check verification and recovery behavior.

What to retain

Approval scope, observed control behavior and outcome checks.

04 / Enterprise fit

Can your team operate the workflow?

What to test

Review setup effort, model and data boundaries, supported integrations and ownership.

What to retain

Remaining deployment work and a named owner for each item.

A shared evaluation

Bring the question. Build the plan together.

Your team brings

  • A critical service, repository or investigation to focus on.
  • The current process and evidence you can authorize.
  • A security lead and the relevant engineering or operations owner.
  • Data boundaries, operating windows and the decision you need to make.

Agree with Breakwater

  • The product configuration, inputs and integration scope.
  • AI model access, data handling and reviewer responsibilities.
  • Success measures, schedule and any rehearsal or execution scope.
  • The close-out review, retained records and next-phase criteria.
Do we need to evaluate all three products?

No. Start with the workflow that addresses your priority. A combined evaluation should establish how asset identities, services and source evidence map across the products.

Will an evaluation change operational systems?

Agree demonstration, lab and site activities separately. Any operational execution requires a supported path, explicit scope and your organization’s change process. A demonstration or response proposal does not grant permission to make a live change.

Where will the data and AI models run?

Agree the selected deployment, model provider, permitted data access, retention and network dependencies before connecting inputs. Test restricted or disconnected operation against the workflow you actually need.

How long does an evaluation take?

Set timing during scoping. Data availability, integration work, review capacity and operating windows determine the schedule. Agree staffing and commercial terms alongside the plan.

Your next step

Turn your priority
into an evaluation plan.

Use the PoC planner to outline your environment and requirements. Review the draft with your team and Breakwater before starting.