On November 20, Lagrange Labs announced that it has been registered as an approved supplier within Lockheed Martin’s vendor ecosystem, enabling direct integration of DeepProve across defense and aerospace programs. The integration addresses a critical operational gap: modern coalitions require intelligence partners to trust AI-driven analysis without exposing classified data or proprietary models.
Classical approaches to coalition operations create a false choice: either compromise classification by sharing raw data and model internals, or operate in isolation. DeepProve eliminates that tradeoff by enabling NATO, joint task forces, and multi-agency operations to exchange only validated outcomes accompanied by cryptographic proofs of authenticity. Partners receive mathematical certainty that underlying mission data was unaltered, models followed approved logic paths, and inference executed without exposing sensitive operational parameters.
“This is how American defense operates at scale in contested environments,” said Ismael Hishon-Rezaizadeh, CEO and co-founder of Lagrange Labs. “Coalition partners don’t need to see inside your models. They need proof your systems work correctly. DeepProve provides that proof while keeping classification intact.”
Rather than exchanging raw telemetry, coalition partners exchange cryptographic proof that confirms the partner system’s result is authentic, mission data was uncompromised, inference followed approved logic, and no classified parameters leaked during execution. This approach is transformative for NATO operations, joint task forces, and multi-agency intelligence fusion where trust across domains is non-negotiable.
For aerospace and defense systems, DeepProve generates tamper-evident, reproducible records for each inference, enabling certifiers and auditors to validate correctness without intrusive data access while maintaining model confidentiality and operational security.
“With DeepProve in Lockheed’s supply chain, we’re setting a new standard for how mission-critical AI maintains accountability from development through field deployment,” said Hishon-Rezaizadeh. “Verifiable AI isn’t a retrofit. It’s infrastructure.”
Source: Lagrange Labs
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