The Adversary Risk Intelligence Platform
Protos AI starts upstream with early-warning signals, so your SOC acts on verified intelligence before the ticket fires. It reads every signal, then contextualises it against your environment, your suppliers and your industry.
An agentic SOC starts at the ticket. We start at the signal.
+ HERITAGE
Founded by ex-Booz Allen Hamilton cyber operators. Co-built and deployed with defence and homeland-security agencies since 2024, and now available to commercial enterprises.
+ PROBLEM
A signal is published at T+0. By the time a ticket fires, something has already hit and the cost is already incurred. Thousands of signals are published each week; a team reads dozens.
Thousands are published each week and a team reads dozens. You can’t hire the gap away: the talent is scarce.
Triage, contain, respond. This is where SIEM and the agentic SOC operate, after something has already hit.
Intelligence reads every signal and contextualises it against your environment, suppliers and industry. Hunt validates against your own telemetry whether you are affected, before anything fires. What reaches the SOC is a confirmed case with intelligence attached, not a raw alert.
+ SOLUTION
You share your environment, so Protos AI knows what to model and collect. Agents pull signals across domains, sources and formats, and ask “does this affect us?”, not “what is this?”. They hunt in your own telemetry to verify whether you are exposed, then put what they find on a watchlist to monitor for changes in modus operandi. Your SOC receives intelligence attached, not a raw alert.
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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
Five use cases are core today, and financial-crime investigations is expanding. Each was first built for mission-critical environments.
Use Cases
Turn IOCs and new threat reports into actor-linked leads across your logs.
Enrich indicators, map MITRE ATT&CK techniques, and build actor-linked correlation graphs — without the manual pivoting.
Cyber Threat Intelligence
Assess every vendor’s cyber exposure and monitor them for active targeting.
Continuously monitor vendors for active targeting, exposure events, and threat actor mentions across OSINT, dark web, and breach feeds.
Cyber Threat Intelligence
Act on brewing exploits before a CVE drops, and map exposure within minutes after.
Identify CVEs from threat advisories and map to impacted assets in your environment, with EPSS-driven prioritisation.
Vulnerability Management
Turn adversary intel into hunt plans and sweep your telemetry for compromise.
Analyse logs for IOCs from newly published threat reports, without re-querying each source manually.
Threat Hunting
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
Social Media Intel
Expose the operators and networks behind a hostile narrative before it shapes opinion.
Financial Crime · Expanding
Enrich transactions with fraud patterns and dark web intelligence, and screen entities against sanctions, ownership structures and adverse media.
+ RESULTS
THREAT HUNT
~1M log rows hunted in about two hours, versus 16+ hours of manual work.
ANALYSIS
Each enrichment cycle cut from about four hours to about fifteen minutes.
EVIDENCE REVIEW
Document analysis cut from days to hours, at ~90% accuracy across ~180 documents.
PROOF-OF-CONCEPT
One live use case, run end to end.
+ DIFFERENTIATORS
Models change constantly. What customers buy is the intelligence operation built around them.
Built on the hardest national-security problems, then brought to commercial enterprises. Patent filed in Singapore; US filing in progress.
Protos AI codifies how each customer works: data sources, investigation workflows and analytical methods. That knowledge compounds, and it is what makes us hard to replace.
We run our own first-party data collection, using our technology and tradecraft. The high-level methodology can be shared under NDA.
Never locked in. Protos AI is not tied to any single model, so the focus stays on domain tradecraft, enterprise integration and scale.
Agents are used only where judgement is needed. Established AI and machine-learning methods handle deterministic steps such as entity extraction, which reduces cost and improves accuracy.
+ WHY IT COMPOUNDS
Models will keep changing; customers buy the intelligence operation built around them. Every deployment improves the platform, and customer data is never pooled.
Investigation patterns and tradecraft, source reliability and platform changes.
Failure cases and model routing; precision, recall and useful outputs.
Entities, relationships and signal templates; sovereign, on-premises and trust boundaries.
Better foundation models lift every layer above them: collection, context, execution and trust.
+ 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.
Protos Cloud (SaaS), sovereign private VPC, or sovereign in-a-box, sized to your data volume and your performance and latency needs.
+ INDUSTRIES
Proven with defence and homeland-security agencies and government, now expanding into commercial enterprises.
+ 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.
Protos AI has been in mission-critical environments since 2024 and is now available to commercial enterprises. The fastest way to evaluate it is a 4-week proof-of-concept on a live use case.
Make sense of the upstream signals where adversaries hide — before the breach, not after.
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