01
Requirement verification
Security starts before the first line of code.
Autonomous system of action · Cyber-physical
The product security
digital workforce.
Autonomous AI engineers for product security, embedded inside R&D and engineering.
- FDA 524B
- EU CRA
- ISA/IEC 62443
- CMMC 2.0
- SPD-5
The pitch
What are you building?
We’re building autonomous AI engineers for product security. An ArgusEye sits inside your R&D and engineering org as a virtual member of the team – modeling threats, prescribing controls, and producing audit-ready evidence continuously, on every product line.
Our goal is to ensure an ArgusEye worker is protecting every cyber physical system in the world. ArgusEye today operates at the level of a senior product security engineer, with native fluency in embedded firmware, secure-boot chains, hardware schematics, and the regulatory frameworks – FDA 524B, EU CRA, ISA/IEC 62443, CMMC, SPD-5 – that govern cyber-physical products.
We’re currently working with design partners and customers across MedTech, consumer connected devices, space, robotics, OT manufacturing, and defense.
In the engineering loop
A virtual senior PSE on every product line.
- Continuous threat model on every commit
- Reachability-aware findings with auto-generated CSAF VEX
- eSTAR / Annex II / CMMC SSP evidence - assembled live
The work
What does ArgusEye do?
02
Continuous threat modeling
The threat model that updates itself.
03
Controls & automated VEX
Actionable controls. Not 10,000 alerts.
04
Regulatory compilation
Audit-ready, by default.
System of action
It’s not another scanner. Not another consultant.
Today
With ArgusEye
Six-week manual review queue
Continuous, on every commit
$350K PSE hires, 90+ days to fill
Flat annual cost. Capacity, day one.
71–90% false positives
Reachability-aware findings, auto-VEX
Sixty-day audit scramble
FDA eSTAR, CRA Annex II, CMMC SSP - continuously
Why now
The economics of product security have inverted.
01 / Regulatory cliff
FDA 524B is live. EU CRA Article 14 reporting goes mandatory September 2026; Annex II, December 2027.
€15M / 2.5%max CRA penalty
02 / Offense flipped
Autonomous attackers find zero-days at machine speed. DARPA AIxCC: 54 vulns across 54M LOC in 4 hours.
$0.073per successful AI exploit
03 / Legacy model collapsed
~46% of code is now AI-written. Hiring more PSEs and running more scanners no longer scales.
800+ hrs/month lost to triage
Industries
Where does ArgusEye work?
Design partners and customers across the cyber-physical stack – from data center power systems to medical-device implants to spacecraft and ground segment.
MedTech
Class II/III devices, surgical robotics, implantables, infusion, imaging, digital therapeutics.
- FDA 524B
- eSTAR
- EU MDR + CRA
Consumer connected
Smart home, wearables, appliances, audio/video - products with digital elements sold into the EU.
- EU CRA
- UK PSTI
- FTC §5
Space
Satellite manufacturers, launch, ground stations, in-space servicing, payloads.
- SPD-5
- NIST IR 8401
- ITAR
Robotics
Industrial and surgical robotics, AMRs, humanoids, drones, agricultural and warehouse automation.
- ISO 10218 / 13482
- IEC 61508
- ROS / ROS2
OT manufacturing
ICS / PLC / SCADA, process automation, energy and utilities, smart factory, building management.
- ISA/IEC 62443
- NIS2
- NERC CIP
Defense
DoD primes and tier-1/2/3 DIB suppliers, weapons, ISR, uncrewed and mission systems.
- CMMC 2.0
- NIST 800-171/53
- DFARS · ITAR
By the numbers
The asymmetry isn’t subtle.
- ~46%
- of active code is AI-written
- 40–62%
- of AI-written code is vulnerable
- 71–90%+
- SAST/DAST false-positive rate
- $4.6M
- annual triage tax, severe scenarios
- $350K
- fully-loaded cost of one senior PSE
- 90+ days
- to fill a senior PSE role
- €15M / 2.5%
- max EU CRA penalty
- Sept 2026
- CRA Article 14 reporting goes live
Frequently asked
Questions we hear most.
Why is it called ArgusEye?
Argus Panoptes - the hundred-eyed giant of Greek myth. He never slept. He watched everything, all at once. That's the point. Continuous observation of every product line, in every workflow, on every commit. The dot in the wordmark is the eye.
How do I get an ArgusEye on my team?
Easy. The fastest path is a 15-minute call with the founder - no deck, no pitch. If ArgusEye is a fit for the way your engineering org actually works, we'll set up a paid pilot inside one of your product teams. Reach out at jackson@arguseye.ai or use the form below.
Who’s behind ArgusEye?
Jackson Schultz (Co-founder & CEO) - architected large-scale security programs at Google. Lawrence Ibarria (Co-founder & CTO) - scaled safe, autonomous systems at Cruise and NVIDIA. Plus a team of applied AI researchers and security engineers working out of the Bay Area and remote.
Are you hiring?
Yes - applied AI researchers, product security engineers, and full-stack product engineers. Mission-motivated only. SF Bay Area HQ and remote roles across the US and Canada. Reach out at careers@arguseye.ai.
What about our IP?
ArgusEye runs inside your environment. Air-gapped and sovereign deployment available - controlled IP, ITAR data, and CUI never leave your perimeter. Your code trains your ArgusEye, not anybody else's.
How is this different from SAST / DAST / GRC tools?
Those are tools your team operates. ArgusEye is the worker who operates them - modeling threats across your real architecture, deciding what matters, generating the documentation. The honest comparison isn't to a scanner. It's to the senior PSE you can't hire fast enough.