The hardware is real. The clinical pipeline isn’t.
Sub-300 μW seizure detection. Coin-cell arrhythmia classification. Sub-millisecond neuroprosthetic loops. Zero regulatory clearances. Anywhere.
New from co-founders Michael Pendleton, Corrina Alcoser, and Jacqueline Suttin (with UTSA + NSCC): the first systematic map of the gap, and a roadmap to first clearance by 2030. 🧠
Read it → Link in Bio
#Neuromorphic #EdgeAI #BCI #MedTech #fda
🤠 Today at the Radius Center, hosted by Geeks&&: San Antonio Developer Meetup (aka Geeks And Drinks) is spotlighting @jacquelinersuttin at the 2nd Annual AI April Showcase.
Her project, Orbital Trust Fabric, tackles the security problem nobody is ready for: as compute moves to orbit and quantum threats accelerate, today’s identity and provenance models break.
OTF delivers what comes next:
→ Continuous human-presence verification
→ Post-quantum-ready signed provenance (Ed25519, ML-DSA)
→ Human Exclusion Zones for Earth, orbital, and quantum-transition data centers
This is the security primitive for the decade of machine-to-machine scale — and it’s exactly the kind of work the defense and critical infrastructure community needs to be paying attention to.
We stand alongside the @magentrust ecosystem as Jacqueline Suttin continues to build trust infrastructure for the AI era.
Congrats, Jacqueline. Go get that hardware. 🏆
#AIApril #OrbitalSecurity #PostQuantum #MAGENtrust #TheAICowboys SATX
San Antonio is becoming a serious player in cybersecurity and AI, but leadership is not just about growth, it is about foresight. As threats evolve, insider risk and stolen credentials are becoming the real challenge.
With San Antonio becoming a national player in cybersecurity, should we be leading the shift toward human verification in critical systems?
#SanAntonio #Cybersecurity #ArtificialIntelligence #NationalSecurity #SmartCity @magentrust@utsa.caicc@utsa@jacquelinersuttin@ninthwardgod@ninthwardgod@jr_daze
Legacy isn’t just code. It’s infrastructure.
COBOL still powers 95% of ATM transactions and roughly 80–85% of in-person financial exchanges. It processes an estimated $3 trillion every single day. That’s not legacy in the nostalgic sense. That’s operational backbone.
So modernization isn’t about ripping and replacing.
It’s about what we layer on top.
Most COBOL modernization efforts wrap mainframes in APIs, cloud orchestration, and AI-driven automation. Necessary? Yes. Strategic? Absolutely.
But here’s the blind spot:
We’re connecting 60-year-old mission-critical systems to autonomous AI pipelines without continuous verification that a human is actually in the decision chain.
Authentication at login isn’t human-in-the-loop.
Policy language isn’t enforcement.
Session tracking isn’t proof of presence.
If an AI agent can operate inside a system indistinguishably from a human, then HITL becomes a governance checkbox instead of a technical guarantee.
Think about the implications across:
Banking
Healthcare claims
Government benefits
Defense logistics
You can’t policy your way into HITL compliance.
You need infrastructure that makes human presence verifiable and machine impersonation economically prohibitive — not just at the login screen, but continuously, across every session and transaction.
That’s the missing layer.
And that’s exactly what we’re building at @magentrust :
Continuous human verification designed for Zero Trust architectures.
No CAPTCHAs. No stored biometrics.
Entropy-based behavioral proof that a real human is in the loop.
Because modernizing legacy systems that process 95% of ATM activity and $3 trillion a day without enforceable HITL isn’t innovation.
It’s exposure.
The deeper reality is this: AI doesn’t break old systems because they’re old. It breaks them because they were designed under the assumption that humans were the only actors. That assumption no longer holds.
“human in the loop” is a policy. not a proof.
somebody authorizes a load shift on a power grid. somebody pushes firmware to 10,000
smart locks. somebody runs terraform destroy on production. somebody’s internal AI
agent quietly misconfigures a PLC.
…was it a human? or a bot with valid credentials? or an agent that went rogue inside your own infrastructure?
nobody’s verifying. and compliance frameworks aren’t asking.
MagenTrust is the proof. continuous behavioral verification. no CAPTCHAs. no stored biometrics. no friction.
the trust layer for Zero Trust.
magentrust.ai
#MagenTrust #HumanInTheLoop #CyberSecurity #ZeroTrust #iotsecurity
The U.S. Department of Labor just released its AI Literacy Framework.
This is not just guidance. It is a signal.
AI literacy is moving from optional skill to workforce baseline. Training, accountability, and responsible deployment are becoming infrastructure, not afterthoughts.
We broke down what it says and why it matters.
Link in bio.
#AILiteracy #FederalPolicy #FutureOfWork #MAGEN
February is about connection.
MAGEN Trust is focused on verifying it.
This month we are expanding live entropy testing inside the Hive, increasing API call simulations, and pressure-testing behavioral verification against nonhuman traffic.
Trust is no longer a frontend experience.
It is infrastructure.
#cyber #identity #killcaptcha #security
You asked so we built it!
We’ve now made it even easier to build a bot to test our algorithm today. This allows for easier testing, learning, and building for anyone getting their feet wet with technology.
Link in the bio.
📚 A Field Manual for the Internet You’re Actually Building
Bots aren’t just spam.
CAPTCHAs aren’t real security.
And “AI safety” isn’t just theory anymore.
We launched docs.magentrust.ai as an open learning hub for students, builders, and researchers trying to understand:
• What bots actually are (good, bad, neutral)
• How browser automation really works
• Where CAPTCHA breaks down
• How humans and agents interact at scale
• What human-in-the-loop systems look like in practice
This isn’t homework.
It’s a training ground.
If you’re studying CS, security, product, AI, or just learning by building, this is for you.
🔗 Link in Bio
🧠 Learn it
🧪 Break it
💬 Talk about it in Discord
The NSA’s latest Zero Trust guidance starts with discovery.
Before enforcement. Before policy. Before architecture.
Zero Trust works better when you understand your environment first.
We’re building MAGEN to strengthen that early signal.
link in bio
