The Adversary RISK Intelligence Platform
Protos AI collects upstream — advisories, researcher write-ups, code repositories, forums, social media, supplier disclosures — and checks every threat signal against a model of your environment. Not “a vulnerability exists”, but “this one reaches you, here, through this system.”
From threat feeds to network logs to social media — we hunt for the adversary's activity wherever it surfaces.
+ HERITAGE
Founded by ex-Booz Allen Hamilton cyber operators. Built with defence and homeland-security agencies since the company’s founding, and opened to commercial customers in Q4 2025.
+ PROBLEM
Intelligence and investigation teams are under pressure on three fronts:
the best people stuck on the wrong work, more data arriving than any team can process, and adversaries moving at machine speed.
Senior analysts spend their day on reading, triage and report formatting — work that tools or juniors should handle. The judgement you hired them for gets the leftover hours. 27% of organisations now report breaches tied to skill gaps (SANS 2026).
Feeds, alerts, advisories and text documents pile up faster every day. Working out what any of it means for your environment still depends on a senior analyst at the keyboard.
Vulnerabilities are weaponised in hours. A compromised supplier can sit undetected for months. The investigation that follows still takes days — and time you don't have.
+ SOLUTION
Protos AI runs the intelligence cycle at machine scale. It models your operating environment — assets, suppliers, software packages, AI systems, workflows — collects threat signals upstream, analyses what bears on you, and carries the finding into your own data to see whether the adversary is already there.
Each investigation ends in a conclusion your analysts approve in the AI workbench: the actor, the infrastructure, the affected assets, the next step — with the evidence attached. Tradecraft compounds in the platform, so each investigation is sharper than the last.
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+ TESTIMONIALS
Used in operational environments where accuracy, speed, and trust are non-negotiable.
Across our cybersecurity engagements, the Protos Labs team has been responsive, technically strong, and easy to work with. They give us useful findings and practical explanations — not just data — which helps our members understand the risks and make informed decisions internally. Their reporting is clear and tailored for both technical and management audiences, and they’ve stayed proactive and collaborative throughout.
The Protos AI platform is intuitive and easy to use, and its customised cyber threat intelligence reports align perfectly with our operational requirements. We need fast, high-confidence sensing — and Protos AI consistently delivers. It has become deeply integrated into our daily workflows and plays a key role in our AI transformation, helping our teams act on actionable intelligence quickly and confidently.
In one deployment, Protos AI surfaced a single anomalous event buried in over a million rows of our security logs — and our team confirmed it matched a real incident. That is not something we could have found manually.
On national-security missions, Protos AI has changed what our analysts can get through. Investigations that used to take days now take hours, and the conclusions hold up to the scrutiny our work demands.
+ USE CASES
The capabilities below were first built for mission critical operational environments. They are now available to commercial enterprises that need the same.
Use Cases
Protos AI analyses raw reports — IPs, hashes, domains, prose text — and returns what each one is, who uses it, and what it does. Related infrastructure, the threat actors behind it, and the ATT&CK techniques are surfaced in one pass.
Enrich indicators, map MITRE ATT&CK techniques, and build actor-linked correlation graphs — without the manual pivoting.
Cyber Threat Intelligence
OSINT, dark web, and breach data are monitored against your vendor list and its associated technology stack. Detect early warning signals before it reaches your environment.
Continuously monitor vendors for active targeting, exposure events, and threat actor mentions across OSINT, dark web, and breach feeds.
Cyber Threat Intelligence
A threat advisory drops. Protos AI extracts the relevant items, maps them to your environment model, and sets out the affected assets and proposed countermeasures — the vulnerability’s blast radius, the moment it lands.
Identify CVEs from threat advisories and map to impacted assets in your environment, with EPSS-driven prioritisation.
Vulnerability Management
When an adversary changes TTPs, your analyst directs a hunt through months of your logs, checked against your environment model — returning validated IOCs, hunt packages and impacted assets. An automated hunt agent is on the roadmap.
Analyse logs for IOCs from newly published threat reports, without re-querying each source manually.
Threat Hunting
A phishing email in March and a malware investigation in July are often the same operator. Protos AI correlates across investigations to surface campaigns that siloed tools miss.
Identify linkages between disparate malware or phishing incidents to surface broader campaigns your team missed.
Incident Response
Protos AI correlates 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
Protos AI runs investigations, enriches IOCs, and builds threat actor profiles underneath your team — so they spend their hours on decisions, not data collection.
Use Cases
Supply chain intel
Your direct vendors are only the first layer. Protos AI profiles the fourth and fifth parties your vendors depend on — the hidden dependencies and adversarial exposures most programmes cannot see.
Social Media Intel
Protos AI maps the hidden account networks, inauthentic amplification and coordinated behaviour that shape narratives across social platforms — uncovering the operators while the narrative is still forming.
Social Media Intel
Protos AI cross-checks identity documents, digital footprints and behavioural signals to surface the fake personas and anomalous patterns that indicate a planted insider.
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
Connects suspicious transactions to fake identities and known fraud infrastructure — catching the ring that slips through rules-based checks. The organised scheme becomes visible, not just the symptom.
+ EXPECTED OUTCOME
ESTIMATED SAVING
Analyst time shifts from collection and triage to review and decision. Across every investigation, not only the high-priority few.
FASTER
From lots of data to a closed investigation in hours, not days. With full audit trail.
TRUST
Every output is scored on accuracy, reliability, consistency, and speed. Before a proof-of-concept is called a success, the AI is tuned to clear a measured bar — on your data, your workflows.
SPEED
From POC start to output tuned to a measured quality bar — on your data, in an environment that mirrors yours. No multi-month implementation, only realistic outcomes.
+ DIFFERENTIATORS
Anyone can stand up an AI agent now. What sets Protos AI apart is what a generic build can't reach: a platform tailored to your environment, that codifies your tradecraft into a compounding memory, and proves its conclusions using data.
Tuned to your data, your workflows, and the adversaries you care about — proven against a measured quality bar at proof-of-concept, with the same environment carried straight into production when you sign. It works your way, not ours.
Every investigation makes the next one sharper. Your tradecraft and ours are codified and stay with the organisation — not lost when an analyst leaves. A DIY agent starts from nothing each time; this one never does.
Protos Labs' proprietary Trust Fabric scores every AI output on accuracy, reliability, consistency, and speed. We don't move on till we get it right.
+ WHERE THIS IS GOING
Anyone can build an AI agent now. What keeps Protos AI ahead is what we’re building towards. We call it the three Cs — Compounding, Cross-Domain and Collective. Compounding is live today; Cross-Domain and Collective are on the roadmap.
Live today. Every investigation informs the next. Protos AI keeps a persistent record of your environment, your adversaries and your prior work, so the thousandth investigation is shaped by all the ones before it. Tradecraft no longer leaves the organisation when an analyst does.
On the roadmap. One engine that recognises one adversary across cyber, financial crime, disinformation and supply chain. A phishing email, a fraudulent transaction and a compromised vendor are often the same adversary — the connection no single-domain tool can make.
On the roadmap. What one customer’s agents learn about an adversary can warn the others before it reaches them — sharing intelligence about adversaries, never customer data. Currently in development.
Five years ago, a platform like this would have needed a research lab and a department of analysts. AI is what makes it possible today. Agents are how it is built; reach and judgement are what it delivers.
+ TRUST & READINESS
Enterprise AI is only deployable when there is trust — this is the layer between raw model output and a decision your team can rely on. This is where the commitments live.
The Trust Fabric scores every agent’s output across four weighted dimensions — accuracy (50%), reliability (25%), consistency (15%) and speed (10%) — with hallucination and drift detection on an ongoing basis.
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 in progress and more.
The analyst sets the line of enquiry and approves the plan. Nothing is released until they approve it.
Cloud, private VPC, or on-premise AI-in-a-box — matched to your security requirements and operating constraints.
+ INDUSTRIES
+ BUILT FOR
Built for the teams that turn adversarial activity into a conclusion their organisation can act on.
Hunt threats across your environment, watch for threats targeting your supply chain, and assess blast radius when a new CVE advisory drops — before a breach, not after.
Investigate the network behind the fraud. Enrich bank statements with counterparty intelligence and cross-domain signals — the investigation layer above your transaction monitoring, not a replacement for it.
Place vendors under continuous intelligence, not periodic review. Profile the dependencies behind each vendor, two and three layers deep — and see where adversaries are targeting them.
+ AWARDS & RECOGNITION
Backed by national cyber innovation programmes, global AI accelerators and international security standards — proof Protos AI meets the bar where it matters most.
Winner of the Cyber Security Agency of Singapore's CyberCall programme for 2026 — recognised for advancing agentic AI in cyber threat management.
Part of NVIDIA's accelerator for startups transforming industries through advances in AI and data science.
Selected for the AI Accelerate programme run by Block71, Microsoft and Enterprise Singapore — backing the next wave of AI-native startups.
Voted by attendees and powered by Thailand's National Cyber Security Agency — regional recognition from the cybersecurity community itself.
An earlier win under Singapore's national CyberCall programme — a track record of innovation recognised by CSA across multiple cycles.
Certified for information security management — the global benchmark for protecting customer data and systems.
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A proud member of the Global Technology Industry Association — part of a worldwide community advancing standards, skills, and trust across the technology industry.
Tell us what you're up against, and we'll show you what Protos AI finds in your environment — a proof-of-concept on your data, tuned to how your team works.
Make sense of the upstream signals where adversaries hide — before the breach, not after.
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