The Intelligence Platform for Adversarial Risk
Protos AI runs complex, multi-source investigations across the places adversaries operate — the cyber surface, social media, supply chain, and your own workforce — and produces conclusions your team can rely on.
+ Heritage
Founded by operators from the national security community, including Booz Allen Hamilton. Built with a government customer from 2024. Opened to commercial customers in October 2025.
+ Built For
Most platforms treat each investigation as a one-off output. We treat it as a contribution to a system that gets smarter, broader, and more accurate with every case
Hunt threats across your environment, watch for threats targeting your supply chain, and sweep logs when a new advisory drops. Verify remote workers are who they say they are.
Investigate the network behind the case. Enrich alerts and bank statements with counterparty intelligence and cross-domain signals — the investigation layer above your transaction monitoring, not a replacement for it.
Place vendors and counterparties under continuous intelligence, not periodic review. Profile the dependencies behind each vendor, two and three layers deep — the fourth and fifth parties most programmes cannot see.
+ Built For
+ INDUSTRIES WE SERVE
✦ PROBLEM
Adversaries move at machine speed. Analysts still work at human speed. That gap is where breaches succeed, fraud runs unchecked, and compromised vendors sit undetected until the damage is done.
Senior analysts who can pivot across tools, correlate across incidents, and write reports that hold up to a Risk Committee or a regulator's file take years to develop. They are hard to find, harder to keep, and the tradecraft leaves with them.
Threat intelligence platforms, fraud systems, and vendor scoring have already solved the collection problem. What the stack does not do is turn the data into a conclusion. That work is still manual, and it is where the time goes.
A vulnerability is disclosed overnight and weaponised within hours. A threat advisory lands on a Friday. A new fraud typology is published mid-quarter. Working out what any of it means for your environment still takes hours, and by then the adversary has moved on.
+ SOLUTION
Your TIP enriches indicators. Your SOAR runs playbooks. Your SIEM gives you visibility. None of them tells you what the activity means for your organisation, or what to do about it.
Protos AI answers that question. AI agents investigate across the cyber surface, social media, supply chain, and your own workforce, and translate what they find into a conclusion: the actor, the infrastructure, the affected assets, and the next step — with the evidence behind it.
Not enriched indicators. Not a response playbook. A conclusion your team can rely on.
+ where this is going
Most agentic AI tools will be commoditised. What makes Protos AI still matter in five years is what happens between investigations, across domains, and across the customers we serve. We call this - 3C Framework - Compounding, Cross-domain, and Collective Intelligence - and it is how we think about building a platform that earns its position as the category matures.
Every investigation informs the next. Agents build a persistent record of your environment, your adversaries, and your prior work, so the thousandth case is shaped by all the ones before it. Tradecraft no longer leaves the organisation when an analyst does.
Specialist agents work across cyber, financial crime, and supply chain, and connect activity that no single-domain tool can see alone. A phishing email, a fraudulent transaction, and a compromised vendor are often the same adversary. The connection is what matters.
When one customer's agents identify a new adversary pattern, every customer benefits — privately, with consent, contribution-weighted. In development; we are selecting the initial cohort now.
Five years ago, a platform like this would have required a research lab and millions of users doing intel work. Agentic AI is what makes it possible today. Not the destination — the workforce that gets us there.
+ USE CASES
+ USE CASES
Our AI agent serves as a junior cyber threat intelligence analyst — delivering across core CTI use cases, autonomously and at scale.
Autonomously enrich indicators, map MITRE ATT&CK techniques, and analyze supporting infrastructure — eliminating manual lookups.
Continuously monitor vendors for active targeting. Protect vendors without in-house CTI capabilities.
Identify CVEs from threat advisories and map to impacted assets. Automate regulatory advisory responses.
Analyze logs for IOCs from newly published threat reports. Parse raw logs, flag malicious behavior against known threats.
Identify linkages between disparate malware or phishing incidents. Deep link analysis uncovering hidden cross-campaign connections.
Correlate logs across tools to build a clear end-to-end attacker activity timeline — no manual console switching.
+ USE CASES
Our AI agent serves as a junior investigation analyst — delivering use cases across cyber insurance, financial crime, trade compliance and risk intelligence.
CYBER INSURANCE
Cross-validate proposal forms, underwriting guidelines and attack surface scans for better risk decisions.
CYBER INSURANCE
Scan your insurance portfolio to detect exposure to a new vulnerability. What took days, now takes minutes.
FINANCIAL CRIME
Reduce false positives by prioritising alerts based on behavioural risk, materiality, and context.
FINANCIAL CRIME
Identify emerging fraud patterns and control gaps by analysing confirmed fraud cases and transaction behaviour.
TRADE COMPLIANCE
Improve sanctions decisions by contextualising counterparties, transactions, and jurisdictions against true compliance risk.
COMPLIANCE
Accelerate onboarding by synthesising vendor data, intelligence and risk signals into clear, defensible assessments.
The capabilities below were first built for government operational environments. They are now available to the enterprises that need the same.
Use Cases
Agents take raw indicators — IPs, hashes, domains — and return what each one is, who uses it, and what it does in practice. Related infrastructure, the threat actors behind it, and the ATT&CK techniques in play all surface in one pass. What used to require six tabs now lands in one view.
Autonomously enrich indicators, map MITRE ATT&CK techniques, and build actor-linked correlation graphs — without manual pivoting.
Threat Intel
Reported emails return with attribution, infrastructure, the employees targeted, and a containment recommendation. The analyst reviews and decides; they are not starting from scratch.
Continuously monitor vendors for active targeting, exposure events, and threat actor mentions across OSINT, dark web, and breach feeds.
Threat Intel
A threat advisory arrives. Protos AI extracts the indicators and techniques, maps them to your environment, and sets out what to hunt, patch, or block. The advisory becomes a plan, not another document to read.
Identify CVEs from threat advisories and map to impacted assets in your environment, with EPSS-driven prioritisation.
Vulnerability Management
When a vulnerability is disclosed overnight, Protos AI searches months of your logs for exploitation indicators and maps the disclosure to your exposed assets — before the team starts the day.
Analyze logs for IOCs from newly published threat reports, without re-querying each source manually.
Threat Hunting
An email in March and a malware case in July are often the same operator. Agents correlate across cases to surface campaigns that siloed teams miss.
Identify linkages between disparate malware or phishing incidents to surface broader campaigns your team missed.
Incident Response
Agents correlate logs across SIEM, endpoint, identity, and network telemetry into a single chronology — for the incident report, the regulator, or the post-incident review.
Correlate logs across tools to build a clear end-to-end attacker activity timeline — automatically.
Incident Response
Use Cases
Our AI agent serves as a junior cyber threat intelligence analyst, running investigations, enriching IOCs, and building threat actor profiles — so your team focuses on decisions, not data collection.
Use Cases
Supply chain intel
Your direct vendors are only the first layer. Agents profile the fourth and fifth parties your vendors depend on — the concentration risks, hidden dependencies, and adversarial exposures most programmes cannot see — using regulatory filings, automated scans, and open-source intelligence.
Supply Chain Intel
OSINT, dark web, and breach data are monitored against your vendor list. Active targeting surfaces before the compromise reaches your environment.
Social Media Intel
Agents map the hidden account networks, inauthentic amplification, and coordinated behaviour that shape narratives across social platforms. The operators behind the manipulated environment surface; the operation is named, not just its symptoms.
Social Media Intel
Agents cross-check identity documents, digital footprints, and behavioural signals to surface the fake personas, stolen credentials, and anomalous patterns that indicate a planted insider. The risk is caught before network access is granted — not after.
Financial Crime
Transactions in a bank statement are extracted, counterparties enriched, patterns identified, and an investigator-ready file produced. What used to take days takes minutes.
Financial Crime
Cross-domain correlation connects suspicious transactions to fake identities, known fraud infrastructure, and cyber signals. The organised scheme becomes visible, not just the symptom.
+ Trust & Readiness
Of the three layers that make enterprise AI deployable — foundational model, platform, and trust fabric — the trust fabric is the layer between raw model output and a decision your team can rely on. This is where the commitments below live.
Hallucination detection on every agent output. Drift detection across ongoing cases. Course-correction before conclusions reach the analyst review stage.
Every conclusion traces back to the sources and reasoning behind it. Every agent action is logged. Full audit logs across the platform.
ISO 27001 certified. SOC 2 Type II [achieved / in progress — state accurately]. Role-based access control and identity integration.
Investigation plans require analyst approval before execution. These were the conditions under which the product was built, not features added later.
Cloud, private GPU, or fully air-gapped on-premises — matched to sovereignty, classification, and operating constraints. Air-gapped is supported as a first-class configuration, not a workaround.
+ Differentiators
Threat intelligence platforms aggregate feeds. SOAR tools automate response playbooks. Neither runs the analysis that turns data into a conclusion. Protos AI is built for that work - the analytical and decision layer where the hard calls get made.
Not locked into any single AI model. As the LLM landscape evolves, Protos AI adopts the best-performing models over time — protecting your investment and ensuring continuous improvement.
Correlates horizontally across all your data sources — threat feeds, enrichment tools, transaction systems, and enterprise data. No ecosystem lock-in — works with what you have.
Protos AI understands both structured and unstructured data - ingesting and reasoning across APIs, reports, logs, PDFs, and more to uncover intelligence that siloed tools miss.
EXPECTED OUTCOME
COST SAVING
Free analyst time through automated triage and enrichment across every case, not just the high-priority few
FASTER
From raw data to closed investigation in minutes, not hours or days — with full audit trail.
Optimize
Surface connections and adversary activity your team would otherwise miss — closing more investigations with the same headcount.
SPEED
Deploy, connect your first data source, and close your first investigation within seven days — no multi-quarter implementation
EXPERIENCE PROTOS AI
Run your first AI-powered cyber investigation using open-source intelligence. Enrich IOCs, map TTPs, and analyse threat actor infrastructure — experience Protos AI's agentic capabilities in minutes, no credit card required. Built for Cyber Threat Intelligence teams getting started with agentic AI. Not your typical AI SOC analyst.
Connect proprietary data sources, dark web feeds, OSINT investigation tools and unstructured files. Expand into financial crime, fraud, and cross-domain investigations with unlimited cases, team collaboration, priority support, and enterprise-grade security.
Contact SalesUnlimited investigations, custom integrations, team collaboration, priority support, and enterprise-grade security. Scale from analyst to SOC without switching tools.
Agentic AI is transforming how investigation teams operate. As an early partner, you'll help shape how intelligence and risk work evolves for tomorrow.
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