Agentic SOC · built for MSSPs

Every alert, worked to a verdict in plain language.

Trikeph connects to the tools a SOC already runs, works each alert into a decision with the evidence attached, and acts only inside defined limits — with an analyst in the loop wherever it counts.

Live on connection, no build-out Acts within defined limits Multi-tenant by design Every action on the record

Three heads, one watch

Trikeph watches, works it out, and acts — as one.

The name says it: three heads on one watch. Each owns a stage of the work — see it, work it out, act on it — and together they carry an alert from the moment it lands to the moment it's closed.

HEAD 01

Watch

Reads every signal the second it arrives, cuts the noise, and decides what deserves a real look — so nothing sits in a queue going stale.

TriageDetection tuningNoise suppression
HEAD 02

Investigate

Builds the case the way a senior analyst would — pulls the evidence, correlates across tools, and writes a verdict that reads clearly and holds up.

EnrichmentCorrelationThreat huntingForensics
HEAD 03

Respond

Closes it out inside the bounds it's given — contain, notify, ticket — and stops at the gate for a human on anything that carries weight.

ContainmentReportingQuality checks

Between them, the three heads cover the full SOC workload — from triage and detection, through investigation, hunting and forensics, to response, reporting and quality — as one continuous operation.

How it runs

One path for every alert — start to close.

Whether it lands from SIEM, EDR, or straight off the SOAR, every alert takes the same route: watched, worked, decided, and acted on where the mandate allows.

01

Connect

Reads from existing tools — no rip-and-replace.

02

Watch

Every signal triaged and put in context.

03

Build the case

Evidence pulled and correlated across sources.

04

Call it

A verdict, with confidence weighed against the set limits.

05

Act

Contained where allowed, gated where it counts.

06

On the record

Per-tenant log of every step and outcome.

watch ▸ flagged repeated callouts from FIN-LT-2231
investigate ▸ domain rvp-sync[.]xyz registered 3 days ago
investigate ▸ 6 hosts on the same JA3 fingerprint
investigate ▸ verdict: likely C2 · confidence 0.88
gate ▸ waiting on an analyst to isolate the host

One set of limits · one record · one path, kept apart tenant by tenant.

The Mandate Model

Every agent runs on a mandate — and never steps past it.

An agent that can act is only safe if what it can touch, how far it can go, and when it must stop are written down first. In Trikeph that's a mandate: four limits, operator-set and platform-enforced.

Bounded

Only ever touches the tenant, data and tools its mandate names — nothing beyond.

Provable

No verdict without the evidence behind it. If it can't show its work, it doesn't act.

Reversible

Anything it does can be stopped or undone. No one-way doors without a human.

Consent-gated

Anything with weight waits for human approval — until the operator decides it no longer needs to.

The dial — set per client
ShadowWatches, acts on nothing.
RecommendProposes; an analyst clicks.
AssistHandles the low-risk, asks on the rest.
DelegateRuns the play, inside its mandate.

Reversible at any point, set tenant by tenant, and never wider than the mandate allows.

Autonomy isn't granted on a hunch — it's earned on the agent's track record in the live environment.
precision 0.96analyst agreement 0.94actions reversed 0

What we solved first

The reasons people don't trust an agent to act — answered before it does.

Governed against MITRE ATLAS, the NIST AI RMF, the OWASP LLM risks, and the EU AI Act — because letting software act inside a client's environment is a promise that has to be kept.

Confident, but wrong

An AI can state a firm conclusion that simply isn't true. Every Trikeph verdict is tied to the evidence behind it and scored for confidence — when the evidence is thin, it stops and asks instead of guessing.

Hidden instructions in the data

An attacker can plant text inside an alert or log that tries to give the AI orders. Trikeph treats that content as evidence to examine — never as a command to obey.

Data leaving its client

Each client's data stays with that client. Trikeph reaches in to read only what a case needs, keeps nothing that isn't its to keep, and never pools data across clients.

Quietly getting worse

An AI's accuracy can slip as the environment changes. Each agent's accuracy is tracked continuously, so a decline is caught early — not discovered during an incident.

Why an MSSP runs it

Built around how an MSSP actually runs — many clients, one team.

✓✓
Walls between clientsData, limits and records kept apart tenant by tenant, by default.
✓✓
A dial per clientHow far agents may go is set per client — cautious here, hands-off there.
✓✓
Live on connectionFull SOC coverage from the first alert, no months of build-out.
✓✓
Existing plays, extendedExisting runbooks come in; the fabric extends with client-specific agents.
Minutes to a verdict
Alert to decision, not hours in a queue
A case file, every time
Evidence attached, verdict written plainly
Every shift covered
Round the clock, without more headcount
Nothing acts unwitnessed
Each action logged and kept per client

See it on real alerts

See Trikeph work a real case, end to end.

Trikeph runs against alerts like the ones a team sees every day — and shows the exact point where it stops and hands the call back to a human.

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