Quantum Computing Business News, Quantum Cryptography

QuantumGenie joins NIST and industry leaders at PQC Summit

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September 30, 2026 by Ivy Delaney

Srijan Dhare, founder and CEO of QuantumGenie, shared the stage with representatives from NIST, HEQA Security and ID Quantique (an IonQ company) at the September 22 PQC Summit held at The Hotel at the University of Maryland. The event, a focused precursor to Quantum World Congress 2026, highlighted the critical need for automated tools in the transition to post-quantum cryptography.

Dhare emphasized a core challenge, stating, “You cannot migrate what you don’t see or what you don’t know,” and described how QuantumGenie’s platform combines discovery, attribution and continuous monitoring to map an organization’s cryptographic footprint. The Westlake Village, California-based software company’s approach centers automation on maintaining a live Cryptographic Bill of Materials for effective risk assessment and remediation.

QuantumGenie’s CBOM Platform Drives Automated PQC Migration

QuantumGenie’s CBOM platform addresses a critical challenge in post-quantum cryptography (PQC) migration: maintaining a continuously updated cryptographic inventory. The company’s approach, detailed at the September 22 PQC Summit, centers on a live Cryptographic Bill of Materials (CBOM) that maps cryptographic dependencies to applications, services and infrastructure, QuantumGenie says. This dynamic inventory contrasts with static, point-in-time assessments that quickly become obsolete in modern, rapidly changing enterprise environments.

The platform uses API connectors, agent-based and agentless discovery and source-code analysis to achieve this continuous monitoring. This initial phase focuses on identifying existing cryptographic implementations without initiating any changes, allowing for a comprehensive assessment of the organization’s PQC readiness. QuantumGenie’s technology normalizes algorithm identifiers, key parameters, and certificate attributes across diverse sources, enabling teams to differentiate between classical, hybrid and fully post-quantum implementations. The summit discussions highlighted the importance of interoperability and authentication alongside encryption in PQC migration.

QuantumGenie’s architecture is designed to address both encryption and authentication, encompassing ML-KEM key establishment, ML-DSA signatures, PKI integration, multi-factor authentication dependencies, and identity lifecycle evidence. This approach recognizes that upgrading key establishment protocols is only the first step. Organizations must also plan for the migration of digital signatures to avoid repeating the process. The company’s evidence model aims to maintain traceability throughout the entire migration lifecycle, providing a clear audit trail of cryptographic changes.

Automation is central to QuantumGenie’s strategy, handling the repetitive tasks of discovery, normalization, attribution, and monitoring, according to the company. This allows human decision-makers to focus on policy, business priorities, validation of findings, treatment of legacy systems and ultimately, production migration. Dhare described this as creating “an engine that performs while you sleep,” emphasizing the platform’s ability to operate continuously in the background.

The timing of this technology coincides with a shift in U.S. PQC policy from standards development to implementation. With NIST finalizing ML-KEM, ML-DSA and SLH-DSA as FIPS 203, 204, and 205, organizations are now expected to begin applying these standards.

Executive Order 14412 and OMB Memorandum M-26-15 further reinforce this mandate, directing federal agencies to establish migration leadership, maintain cryptographic inventories and create prioritized migration plans. QuantumGenie’s CBOM platform provides the foundational inventory and monitoring capabilities needed to meet these requirements, enabling organizations to proactively address the quantum threat and ensure the long-term security of their systems., the firm reports.

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Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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