Protos AI is an agentic intelligence platform that automates multi‑source investigations across cyber, insider, financial crime, and supply‑chain risk domains. It ingests structured and unstructured data—logs, emails, PDFs, screenshots, transactions, social media—and produces vetted, evidence‑backed conclusions with actor attribution, impact mapping, and remediation recommendations for security and risk teams.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1VGPPAFounders
Product
Problem
Senior investigators spend most of their time on manual triage, data enrichment, and report formatting, leaving little capacity for the strategic judgment they were hired to provide. The volume of threat feeds, alerts, advisories, and unstructured data grows faster than teams can process, resulting in delayed or incomplete risk assessments. Meanwhile, adversaries act at machine speed, exploiting vulnerabilities and compromising supply chains before investigations can be completed.
Solution
Protos AI delivers an agentic AI platform that automates the analytical work between raw adversarial data and actionable conclusions. AI agents ingest and correlate structured and unstructured evidence—from logs and PDFs to social media signals—across cyber, insider, financial crime, and supply‑chain domains. Each investigation yields a vetted conclusion identifying the actor, infrastructure, impacted assets, and recommended next steps, with all supporting evidence attached. The platform continuously compounds intelligence from prior cases, enabling cross‑domain insights and collective learning across customers. Deployable in air‑gapped or regulated environments, the system provides auditable, evidence‑backed outputs that senior analysts can trust.
Target Audience
Primary users are security and risk intelligence teams in defense, government, financial services, critical infrastructure, and large enterprises that need to investigate cyber threats, insider risk, financial fraud, and supply‑chain vulnerabilities at scale.
Features
- Agentic AI investigators that autonomously process multi‑source data (logs, emails, PDFs, screenshots, transactions, social media) across cyber, insider, fraud, and supply‑chain contexts
- Automated generation of actionable conclusions with actor attribution, infrastructure mapping, asset impact, and remediation recommendations
- Evidence‑attached reports ensuring auditability and defensibility for high‑risk, regulated environments
- Compounding intelligence that incorporates findings from previous investigations to improve future analysis
- Cross‑domain correlation linking disparate threat indicators (e.g., phishing, fraudulent transactions, compromised vendors) into unified threat narratives
- Air‑gapped deployment option and built‑in compliance controls for mission‑critical and government use cases