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AI Security / Security operations

Build an agentic SOC your analysts can supervise.

We design and build AI-assisted triage workflows for MDR providers and security teams, connecting alert pipelines, case context, runbooks, tools and approved actions. The first release is defined by the alert types, decisions and controls your team agrees to test.

The work

Connect the workflow from alert to disposition

We map the selected alert types, source systems, customer boundaries, analyst decisions and permitted actions. That map identifies where to enrich a case, ask for human judgment, update a ticket or stop the workflow.

Engineering can include ingestion and normalization pipelines, retrieval over approved runbooks and customer documentation, model and tool integration, MCP or custom connectors, case updates and escalation paths. Retrieval supplies relevant source material for a case; it does not train the model on your documentation.

Where the workflow calls for voice outreach, we can scope a call or callback path with identity checks, consent requirements, human fallback and a record of the result. The receiving system, jurisdiction and communication policy determine whether it is appropriate.

The process

How we introduce automation

  1. Select the work

    Choose alert classes and current handling steps. Record the baseline queue, escalation rules, available case history and the decisions the system may make.

  2. Build the path

    Connect the agreed sources and actions. Apply tenant boundaries, least-privilege tool access, source attribution, approval gates and logs before any agent can change a case or contact someone.

  3. Evaluate with analysts

    Run historical or synthetic cases in a controlled environment. Review false dismissals, missed escalations, incorrect actions, analyst time and cost against acceptance criteria agreed with the team.

  4. Release by alert class

    Start with observation or recommendations, then authorize specific low-risk actions when the results support them. Keep escalation, feedback, monitoring and a way to pause the workflow in place.

Deliverables

What you receive.

  1. A map of the selected alerts, data sources, decisions, actions and escalation paths.

  2. Agreed pipeline, retrieval and connector changes with defined permissions and approval gates.

  3. Evaluation results against historical or synthetic cases, including missed alerts and incorrect actions.

  4. Operating notes, monitoring requirements, known limits and a handover plan.

Before we begin

Start with one alert class and its current path.

Tell us which alerts consume analyst time, how they arrive, where cases are handled and what a correct disposition requires. A high-level description of the stack, runbooks, customer boundaries and target outcome is enough to begin scoping.

Do not send live alerts, credentials, customer records or internal runbooks through the general contact form. We arrange access and handling after the scope is agreed.

Scoped after an initial discussion

We agree the first alert classes, integrations, action authority, acceptance criteria, fees, milestones and handover before kickoff. Wider rollout and ongoing SOC operation require separate scope.

Scope and limitations

Coverage follows the tested workflow

No single design covers every Tier 1 alert or Tier 2 decision. Automation authority expands only for alert types and actions that meet the agreed checks in the target environment. Analysts retain the escalation path for uncertain or high-impact cases.

Retrieved documents, alert text and tool results can contain misleading instructions. We treat them as untrusted input and test access boundaries, tool permissions, approval paths and the effects of failed or delayed integrations.

Evaluation results describe the cases and conditions tested; they do not guarantee a staffing reduction, a detection rate or 24/7 coverage. Our checks on a system we build are verification. An independent assessment needs a separate reviewer.

Questions

Common questions

Can this work with our existing MDR platform?

That is the starting point. We review available APIs, permissions, event quality and case workflows, then scope the connectors and changes needed. Platform and vendor constraints may limit an integration.

Will the AI learn our runbooks and customer documentation?

We can make approved, permission-checked material retrievable for the relevant case, with source references and update controls. This is retrieval, not model training. We test what the agent can see across customers and roles.

Can it take action or call someone?

Potentially, for specific authorized workflows. We define who or what approves each action, what identity and consent checks apply, how the result is logged, and when a person takes over.

How much Tier 1 and Tier 2 work can be automated?

We can work toward broad Tier 1 coverage and selected Tier 2 tasks, adding alert classes as they meet your team's acceptance criteria. The actual coverage depends on the data, integrations and operating results. Uncertain cases still need a defined human path.

Next step

Choose the first workflow to examine.

A short description of the alert class, current analyst steps and systems involved is enough to discuss a scoped implementation.

Discuss a SOC workflow