WATCH · 7 AGENTS
Every alert, read as it arrives.
Alerts stream in from the client’s tools. Watch agents sort the noise from what needs a look and open a case for it.

THE AGENTIC SOC
Detection streams in from your tech stack. Specialist agents triage, enrich, investigate and respond — you approve what matters.
SEE A CASE
Reads the original alert, then documents the agent’s finding and its confidence. The agent’s work log is the evidence, and the case waits for a person to decide what happens next.
HOW IT WORKS
Specialist agents work in three families. Each one does its job and documents what it did.
WATCH · 7 AGENTS
Alerts stream in from the client’s tools. Watch agents sort the noise from what needs a look and open a case for it.

INVESTIGATE · 10 AGENTS
Investigate agents check the alert against the machine, the identity, earlier cases and the client’s context, then write the finding with how sure they are.

RESPOND · 3 AGENTS
Respond agents recommend the action — isolate a host, block a hash. A named person approves it before anything runs, and the case is sealed on the record.

CONTEXT & MEMORY
Trikeph keeps and governs the context behind every finding: shared reference knowledge, each client’s own facts, and what the agents propose to remember from earlier cases.
CONTEXT & MEMORY

INTEGRATIONS
Trikeph connects to the client’s technology stack and pulls its alerts into one case file, asking each tool only what an agent needs.
ONE CASE FILE
the work queue, one list across every client
approved by a named person before anything runs
audit, reports and the performance record
Trikeph is an agentic SOC platform.
Trikeph is an agentic SOC platform: specialist AI agents that triage, enrich, investigate and respond to security alerts from the tools you already run, with a person approving what matters. Every case arrives with its evidence, its finding and its record.
Trikeph’s agentic SOC uses specialist AI agents to investigate security alerts and recommend next steps for a person to decide.
SOC means security operations centre. Trikeph is an agentic SOC platform: specialist AI agents that triage, enrich, investigate and respond to security alerts from the tools you already run, with a person approving what matters. Each one does its job and documents what it did.
Trikeph reads an alert, checks the evidence and records a finding with the agent’s confidence.
Alerts stream in from the client’s tools. Watch agents sort the noise from what needs a look and open a case for it. Investigate agents check the alert against the machine, the identity, earlier cases and the client’s context, then write the finding with how sure they are.
Trikeph investigates alerts, but response actions need a named person’s approval before they run.
Specialist agents triage, enrich, investigate and respond — you approve what matters. Respond agents recommend the action — isolate a host, block a hash. A named person approves it before anything runs, and the case is sealed on the record.
Trikeph checks whether an agent can conclude within its scope; otherwise, the client’s escalation rules determine the hand-off. Rules can match an alert category, with a default for cases that match none. The record explains why the agent concludes, hands off to another agent or hands the case to a person.
Trikeph presents a case with its evidence, its finding and its record.
Every case arrives with its evidence, its finding and its record. Investigate agents check the alert against the machine, the identity, earlier cases and the client’s context, then write the finding with how sure they are. The agent’s work log is the evidence, and the case waits for a person to decide what happens next.
Trikeph’s integration catalogue includes Microsoft Sentinel, Splunk Enterprise Security and CrowdStrike Falcon.
Trikeph connects to the client’s technology stack and pulls its alerts into one case file, asking each tool only what an agent needs. Its catalogue includes Microsoft Sentinel, Splunk Enterprise Security and CrowdStrike Falcon; collection and response capabilities vary by tool.
Trikeph keeps shared reference knowledge, client-specific facts and proposed memories from earlier cases.
Trikeph keeps and governs the context behind every finding: shared reference knowledge, each client’s own facts, and what the agents propose to remember from earlier cases. Trikeph’s memory includes approved allowlists, recurring patterns, environment facts and analyst decisions on record.
Trikeph separates client data with database-enforced access rules that restrict which rows each caller can see. A client user is confined to their own company by an additional restrictive rule. The application’s database account cannot bypass row-level security or change those rules.
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