Monolithic Power Systems Secures Critical AI Infrastructure While Eliminating Credential Theft
Get a demoAI infrastructure secured at the identity layer
MPS protected access to its internal AI agents using hardware-backed identity, ensuring only verified users on trusted devices can interact with proprietary models and data.
Unphishable access enforced without user friction
Passwords, OTPs, and push-based MFA were eliminated in favor of device-bound, passwordless login; stopping phishing attacks while enabling fast, reliable access for engineers and executives.
Device trust continuously enforced with real risk signals
Access to AI agents is automatically blocked if a device falls out of security compliance, preventing spoofed identities and stopping attackers before they ever reach sensitive AI systems.
- Secured AI Infrustructure and Access
- 1,000+ Internal Users Secured with Passwordless, Device-Bound Auth
- 100% Phishing Resistance Achieved
- 100% Device Visibility Achieved
The Challenge
Monolithic Power Systems (MPS) faced a high-stakes security dilemma as they scaled their internal AI initiatives. To maintain their competitive edge, MPS built proprietary AI agents trained on sensitive intellectual property. This centralized repository of trade secrets created a massive risk target. If an attacker compromises an identity associated with these tools, they gain unrestricted access to the company's entire repository of trade secrets and proprietary data.
The security team recognized that traditional authentication methods were insufficient for this risk profile. Credentials can be stolen and standard multi-factor authentication can be bypassed via adversary-in-the-middle attacks. Without identity bound strictly to the device, access remains spoofable. As Huy Ly, Head of Global IT Security and Infrastructure at MPS notes, "passwords were a constant pain point. Our executives were frequently hit with phishing attacks, and if a VIP cannot access the system to sign a contract, that is a business failure."
The Beyond Identity Solution
MPS secured their AI infrastructure by deploying Beyond Identity. This approach provided hardware-backed identity assurance and device trust with risk signals that cannot be faked, while delivering a world-class passwordless login experience.
- Secured AI infrastructure by ensuring only authorized users on verified devices can access sensitive internal agents.
- Delivered hardware-backed assurance by creating unphishable, device-bound credentials stored in the device's secure enclave.
- Eliminated passwords completely by replacing phishable credentials with secure cryptographic passkeys bound to authorized devices.
- Enforced unfakable device trust with continuous risk signals that block access from unmanaged or compromised devices immediately.
- Removed user friction by replacing passwords and manual OTPs with a seamless biometric verification experience.
Results & Quantified Impact
MPS successfully scaled their private AI platform to over 1,000 employees without compromising security. The system now generates nearly 3 million tokens weekly within a completely secure environment. By binding identity to the device, MPS eliminated the risk of credential theft and neutralized phishing attacks targeting their executive team. Huy emphasized that they "treat [their] AI agents as digital employees; Beyond Identity ensures only the right humans on the right devices can access them."
- Total IP Protection: Engineers leverage powerful AI for code augmentation and content creation within a closed loop; no proprietary data is accessed to unverified identities and devices.
- Zero Phishing Success: The shift to device-bound credentials removed the primary attack vector targeting executives. Attackers can no longer exploit stolen passwords or intercept OTP codes.
- Granular Control: The security team maintains visibility and immutable logs into who accessed which app, on which device. They can revoke access instantly if a device's security posture changes, such as a firewall being disabled.
Innovation does not require sacrificing security. By coupling internal AI development with deterministic, identity-first access controls, enterprises can deploy powerful tools at scale while neutralizing the risks of data leakage and credential theft.

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