A walkthrough of the platform, in the order a team uses it. Configure an agent, connect your integrations, align workflows to your playbooks, run investigations on-demand or scheduled, review the output, build the knowledge graph, check the audit trail.
Every investigation on Protos AI is auditable by default, and every agent operates with a human in the loop. Both are requirements carried over from the environments the product was first built for.
Active agents, open investigations, hours saved, and cost savings per investigation — visible on one screen. When the team is asked what they achieved this month, the answer is already there.
Investigations completed, analyst hours saved, cost savings per investigation.
Active agents, their investigation load, their completion rate.
Active, recent, and scheduled work. Makes repeatable BAU tasks easy.
A cyber threat intelligence agent. A fraud investigator agent. A threat hunt agent. Each shaped to the tasks, the workflows, and the tools the team already uses. No code needed.
Name the agent, define its purpose, assign it to a workflow.
Set steps, output format, and severity framing to match existing analyst playbooks.
Equip the agent with what the skills it needs. OSINT crawls, SIEM queries, graph building, reporting.
Protos AI works across the sources you already use — commercial intelligence feeds, government advisory channels, social media, and open-source channels — bringing them into one investigation workspace and helping you maximise the ROI of those tools
We support multiple formats such as API, STIX/TAXII, MCP, JSON, CSV, PDF and more.
Every investigation the team runs is kept — the evidence, the reasoning, the conclusion. Ready for the regulator, the auditor, or the post-incident review. In the environments we built for, that readiness wasn't optional.
Every investigation, every agent, every outcome. Searchable, filterable, exportable.
Active, complete, awaiting review. Owner and assigned agent.
Token consumption per investigation, so cost per investigation is a number you can see, not a number you infer.
A three-column view. The sources the agent is drawing on. The chat where the analyst directs the work. The insights the agent is producing. A review step at the top, so nothing is promoted until the analyst signs off.
Every file, feed, and tool the agent is pulling from — visible, searchable, and individually verifiable. The analyst can see what the agent is working with, add a source mid-investigation, or drop one that doesn't belong.
The conversation between the analyst and the agent. Objective, clarifying questions, proposed steps, and back-and-forth as the work progresses. A Fast or Deep mode, depending on whether the analyst wants a quick answer or a thorough one.
The structured output the agent is building — the objective as interpreted, the investigation plan with progress tracked, the findings ranked by severity, and the draft report. Overview, Evidence, and Graph views, depending on how the analyst wants to see it.
Findings sit in a Pending Review state until the analyst reviews them. Nothing is promoted to the AI's memory without that sign-off.
Most tools produce reports that are read once and filed. Protos AI builds a graph. Every entity, every relationship, every conclusion — carried forward across every investigation the team has run. You won't remember what you investigated 3 months ago, but the AI will.
IP addresses, domains, malware, actors, vendors, identities. Extracted automatically, deduplicated, confidence-scored.
Every node carries its evidence and its confidence. Manually adjust the confidence to promote it to memory.
Campaign clusters, shared infrastructure, recurring techniques — visible across investigations, analysts, and time.
Every mature team has playbooks. The IOC enrichment playbook. The fraud escalation workflow. The vendor compromise response. Protos AI runs them — step by step, with the team's customizations intact.
Word, Confluence, Jira. Parsed into executable workflows.
No code. No data science team required.
Tools, instructions, approval gates. The playbook remains the specification.
Protos AI runs the investigation groundwork — from collection to structured analysis — under your analyst's direction. Speak to our team to see it in action.
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