Automate loops, stay within guardrails.

Security teams lose a lot of time to manual tasks like enrichment, ticket ping-pong and inconsistent execution. Automation works when it’s designed end-to-end, is measurable and is governed by approvals and clear boundaries.

We orchestrate workflows across your tool landscape, reduce manual effort and build closed loops where actions are verified and reporting is decision-ready.

If automation feels risky or “too complex” to you, bring your specific questions. We’ll define a safe, pragmatic starting point first.

Book an intro call Explore use cases

Does this sound familiar?

Analysts spend most of their time gathering context rather than solving.
Triage outcomes differ depending on the person or shift.
Tickets have no clear ownership, no evidence and no next steps.
Loops break, “remediatied” issues come back.
Approvals and governance slow down response – or are missing entirely.
You want automation, but need control and auditability.

Fits if you…

want to reduce manual effort and increase consistency
need closed loops from signal to verified outcome
must maintain guardrails, approvals and audit trails
want to integrate tools without major engineering effort
need measurable improvements in MTTR and workload

When it’s relevant

alert fatigue and backlogs are a pain point
recurring incidents are handled manually with the same steps
slow remediation loops for vulnerability and exposure issues
stakeholder updates consume a lot of analyst time
governance demands approvals and evidence

Outcomes

faster, more consistent triage and response
fewer escalations and less noise
clearly assigned tasks with evidence and context
verified remediation with fewer repetitions
safe automation with guardrails and auditability

Explore use cases

No dumb questions

What’s a good first automation use case?
How do we avoid automating the wrong thing?
How do we control what agents are allowed to do?
How do we keep approvals without slowing everything down?
How do we evidence time savings and better outcomes?
Do we need a new platform or can we orchestrate what we have?
How do we prevent loops from creating additional noise?
Which integrations are most relevant first?
How do we safely handle error cases?
Which metrics show real operational improvement?

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Ask your “dumb question”. We’ll give you a straight answer.

Building blocks

Measurement and optimisation

How do we continuously improve?

Measure cycle times, noise and outcomes, then refine with focus.
Outcome: steady operational improvements.

Approvals and auditability

How does “done” become reliable?

Re-checks and status updates based on evidence.
Outcome: fewer repetitions and better reporting.

Approvals and auditability

How do we stay in control?

Approval steps where needed, with a complete evidence trail.
Outcome: governed automation that’s audit-ready.

Routing, ownership and SLAs

How do we make execution easier for teams?

Owner mapping, ticket templates and evidence packages.

‍Outcome: fewer dead ends and faster closure.

Enrichment and context mapping

How do we reduce manual lookups?

Standardise enrichment across tools and entities.

‍Outcome: faster, more consistent decisions.

Workflow selection and guardrails

What do we automate first – and safely?

Select one closed loop with clear boundaries and stop criteria.
Outcome: quick wins without chaos.

How we start

Intro call: Align on workflow, guardrails and success criteria
Tailored demo: Show end-to-end orchestration and controls
PoV (optional): 2–4 weeks, validate one workflow with real integrations
Proposal: Scope, integrations, governance model, operating cadence

Ready for automation without losing control?

In the intro call, we clarify the workflow, guardrails and success criteria for a tailored demo. Where appropriate, we validate with a clearly time-boxed PoV (2–4 weeks) and then prepare a proposal.