Lagrange Demonstrates Verifiable AI Autonomy

Lagrange Demonstrates Verifiable AI Autonomy in Anduril Lattice SDK Environment

Defense AI moves faster than oversight can validate. Until now.

Lagrange Labs announced successful integration of DeepProve into the Anduril Lattice SDK, demonstrating that autonomous defense systems can operate with proven correctness in real time. The demonstration shows autonomous reconnaissance pipelines executing tactical decisions (threat assessment, evasion routing, targeting) while generating cryptographic proof that every decision executed exactly as authorized.

Autonomy accelerates decision-making, but speed has traditionally meant less oversight. Lagrange's integration shows this is a false choice. With DeepProve, autonomous systems move at tactical speed while remaining auditable. Operators gain faster responses and mathematical certainty that each action follows authorized logic.

"Autonomy without verification is a vulnerability," said Ismael Hishon-Rezaizadeh, CEO and co-founder of Lagrange Labs. "Cryptographic assurance can now operate at the speed of autonomous decision-making. American defense AI scales when it's verifiable by design, not auditable after failure."

What This Means in Practice

The Lattice SDK integration tested a complete autonomous reconnaissance pipeline where four decision layers each generated cryptographic proof:

Threat Assessment: AI evaluates incoming tracks to determine if they require immediate action.
Tactical Response: System classifies the appropriate action (evade, intercept, or surveillance) based on threat level and distance.
Movement Decision: AI translates tactical decisions into actionable navigation parameters (bearing, speed, positioning).
Cryptographic Proof: DeepProve generates mathematical proof that each decision executed the authorized model on verified data, without revealing how the model works or what data triggered the decision.

Result: every autonomous action is traceable, every inference is verifiable, and adversaries cannot determine decision logic without breaking cryptography.

Why This Matters

Defense strategists face three core problems with AI autonomy:

Problem 1: The Oversight Gap

Autonomous systems make decisions faster than commanders can review them. By the time you audit what happened, the decision has cascaded into operations. DeepProve creates an immutable record: proof of exactly what the system did, when, and on what data.

Problem 2: The Secrecy Paradox

Defense systems must hide decision logic from adversaries, but oversight bodies need to verify the system isn't malfunctioning. Traditionally you chose between two options: hide the system entirely or reveal how it works. DeepProve enables a third option: prove correct operation without revealing decision logic.

Problem 3: The Speed Penalty

Verification is thorough but slow. Autonomy is fast but opaque. Lagrange's integration proves cryptographic assurance can operate at tactical speed. The proof generates alongside the decision, not hours later in a lab.

Strategic Implications

This is the first production demonstration that cryptographic verification integrates directly into autonomous defense workflows:

Command Confidence: Leadership deploys autonomous systems with mathematical certainty of correct behavior, not statistical confidence.
Allied Trust: The U.S. proves to allies that AI-enabled systems operate within agreed parameters without revealing classified logic.
Adversary Resilience: Cryptographic verification makes autonomous systems harder to manipulate. Adversaries cannot spoof correct behavior if every decision is cryptographically proven.
Regulatory Scalability: As DOD develops AI accountability standards, Lagrange's approach provides the technical foundation for auditability without requiring model transparency.

Production Validation at Scale

This integration builds on Lagrange's track record of 11 million cryptographic proofs generated and 3 million AI inferences verified in production. DeepProve maintains 158x faster verification speeds than competing approaches while supporting complex autonomous workflows.

"We're demonstrating real systems, not research papers," said Hishon-Rezaizadeh. "Defense works with technology that scales and performs. This shows cryptographic assurance is now scalable and tactically viable."

This is the first production validation that American defense AI can operate at speed while remaining provably correct. The foundation of cryptographic assurance: proof that systems execute as authorized, not assumption.

Source: Lagrange Labs media announcement

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