The Adversary Risk Intelligence Platform

Protos AI delivers Adversary Risk Intelligence.

One intelligence engine covering the adversaries working against an organization.

It models the organization’s environment, collects early-warning signals upstream — including from first-party sources across Southeast Asia and India that Western-centric feeds don’t reach — and hunts in that environment to verify whether the organization is exposed. Delivered as a managed intelligence service or a platform, it keeps the organization in full control of the requirements and every conclusion.

The Intelligence Loop

Model. Collect. Analyze. Hunt. Track.

Understand your environment → read the threat signals targeting it → verify in a hunt whether you’re exposed.

01

Model

Your environment

CyberAssets, domains, AI stack, software packages

Influence operationsTopics, accounts and communities you watch

02

Collect

Every signal

CyberCVEs, exploits, advisories

Influence operationsTopics & profiles across platforms

03

Analyze

What’s targeting us?

CyberEnrichment + MITRE + knowledge graph

Influence operationsNarrative & coordination analysis

04

Hunt

Verify exposure

CyberProactive exposure hunts

Influence operationsEmerging-campaign hunts

05

Track

Watchlist

CyberThreat actors & campaigns

Influence operationsActor profiles & networks

01 Model · Cyber

Understand your environment.

You share your environment, so Protos AI knows what to model and collect: the software, packages and hosts you actually run. Every new CVE, exploit and advisory is correlated back to that inventory, automatically and continuously.

Protos AI asset inventory and CVE correlation
app.protoslabs.io / arip / cyber / entities / assets
  • SBOM & CPE aware

  • KEV-flagged

  • Confirmed-version exposure

02 Collect

20,000 signals — the few that touch you.

Agents pull signals across domains, sources and formats, then ask “what is targeting us, and how?”. Every story is tiered (Direct, Proximate, Ambient) so your team sees what reaches your stack, your sector and your region first, and the rest as context.

Protos AI signal tiering Direct Proximate Ambient
app.protoslabs.io / arip / cyber / monitor

Direct

Touches your inventory

Proximate

Your sector / region

Ambient

Context, not noise

Influence operations

Topics and profiles, across platforms.

Watch narratives, accounts and communities the same way you watch assets. Facebook, TikTok, Instagram, Reddit and other public platforms are collected, deduplicated into stories, and scored for reach and coordination.

Protos AI cross-platform influence-operations monitoring
app.protoslabs.io / arip / social / monitor
  • Cross-platform

  • Narrative clustering

  • Coordination scoring

03 Analyze

You direct. Protos AI does the work.

Ask in plain language. Protos AI writes a plan for your approval, pulls from its sources — Shodan, VirusTotal, NVD, EPSS, your threat feed — and shows its work in the AI workbench: an investigation playbook, cited references and a written product.

Protos AI workbench showing an investigation in progress
app.protoslabs.io / arip / analyze / investigation
  • Fast & Deep modes

  • 11 live sources

  • Plan → Evidence → Report

Outputs

It doesn’t just answer. It produces.

Enriched IOCs, MITRE mapping, a live knowledge graph, and a written intelligence product — every claim traceable to its source, ready to hand to a decision-maker.

Protos AI enriched IOCs MITRE mapping and threat graph
app.protoslabs.io / arip / cyber / threats
  • Cited briefs

  • Threat graph

  • IOC · CVE · Actor linked

04 Hunt

Don’t wait for the alert. Go find it.

Agents actively hunt to verify whether you are exposed: they execute hunt hypotheses against your own telemetry, identify exposed assets and assemble the evidence. Actors are ranked by hunt priority (relevance, recency and reach into your estate).

Protos AI hunt-priority ranked adversaries
app.protoslabs.io / arip / cyber / entities / adversaries?sort=hunt
  • Hunt-priority ranked

  • Reaches-your-assets

  • Track → standing monitor

05 Track

Tracked after the hunt.

Put insight on a watchlist to monitor for changes in modus operandi. Adversary profiles accrete from the noise (aliases, targeted sectors, recency, and whether they reach your stack), kept current and ranked for you.

Protos AI adversary profiles ranked for relevance
app.protoslabs.io / arip / cyber / entities / adversaries
  • Relevance-scored

  • Reaches-your-assets

  • Track feeds Collect

Influence operations

The actors behind the narratives.

Profiles that persist across platforms and campaigns — who’s amplifying, who’s coordinating, who’s evolving. The same track discipline as cyber, pointed at the information environment.

The Engine

One engine. Five jobs.

The same core runs the whole loop: it models what you run, collects and triages the signals, investigates in Analyze, hunts in your telemetry, and keeps the watchlist current in Track. The analyst directs and approves throughout.

01

Model

Knows what to model and collect from the environment you share.

02

Collect

Triages 20,000 signals down to what touches your stack.

03

Analyze

Plans and runs the investigation across every connected tool.

04

Hunt

Executes hunt hypotheses against your telemetry, identifies exposed assets and assembles the evidence.

05

Track

Keeps adversary profiles and your watchlist current.

  • Plan → tools → cited output

  • Fast · Deep · Automated

  • 8 sub-agents

  • 11 sources

The Roadmap · Anticipate

From monitoring to anticipation.

The loop is built to run forward. Today it tells you what’s happening; where we’re taking it is telling you what’s about to.

LiveShipping today

Asset-correlated CVE & advisory monitoring, including early exploit signals before a CVE is published

AI workbench — analyst-directed investigations and hunts

Adversary tracking — cyber & influence operations

Hunt — hypothesis-driven, hunt-priority ranked

Automated hunt agent — the check run end to end

EmergingRolling out now

Automated standing investigations

Consolidated cyber Reports section

NextWhere this goes

Predictive adversary movement

Start with a 4-week proof-of-concept.

We build every POC on your own workflows, playbooks and data sources, with success criteria agreed with you at kickoff.

See Protos AI on your own data
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