SEALSQ’s QS7001 Validated for ANSSI’s Post-Quantum Mandate

France’s national cybersecurity agency, ANSSI, confirmed on June 16th it will cease certifying security products lacking quantum-resistant encryption, effectively establishing a firm deadline for the industry to adopt post-quantum cryptography. This regulatory shift validates the strategic direction of SEALSQ Corp, whose QS7001 Post-Quantum Secure Element is already validated under NIST SP 800-90B with Entropy Source Validation Certificate #E333 and designed around NIST-standardized algorithms. The company reports a pipeline exceeding 150 customers and prospects, demonstrating significant early market demand before the ANSSI mandate fully takes effect. “This is not just a technical issue,” stated ANSSI’s Deputy Director Samih Souissi, “It is a question of governance, industrial planning, regulation and sovereignty.” SEALSQ positions the QS7001 as a critical hardware root of trust as organizations prepare for potential “harvest now, decrypt later” attacks.

ANSSI Mandate Drives Demand for Post-Quantum Solutions

France’s ANSSI is setting a firm deadline for post-quantum cryptography, reshaping the security landscape. On June 16th, Samih Souissi, ANSSI’s Deputy Director, confirmed the agency will cease accepting non-post-quantum products for qualification from a future date, and require all critical infrastructure operators and government agencies to procure only post-quantum-secure solutions by that time. This decisive action, exceeding voluntary adoption schemes, is already accelerating demand for hardware-based quantum-resistant security, as evidenced by the growing pipeline at SEALSQ Corp. The company currently maintains a robust pipeline of more than 150 customers and prospects for its post-quantum cryptography products, with over 30 actively integrating SEALSQ’s technology. This surge in interest precedes the full implementation of the ANSSI mandate, demonstrating a proactive shift towards future-proof security measures. This validation confirms the hardware random number generator meets the highest entropy standards required for cryptographic key generation, a critical aspect of robust post-quantum security.

The ANSSI directive is not simply a technical upgrade; it’s a strategic imperative. Estimates suggest a cryptographically relevant quantum computer could emerge before 2035, with a 19, 34% probability within the next decade, making proactive mitigation essential. SEALSQ’s QS7001, designed for integration into semiconductors, IoT devices, and critical infrastructure, implements NIST-standardized post-quantum algorithms like ML-KEM and ML-DSA. Carlos Moreira, CEO of SEALSQ, noted that the ANSSI decision accelerates the timeline for post-quantum security from a long-term consideration to an immediate procurement requirement. The company’s vertically integrated approach, extending from the secure element to satellite-based key distribution, further solidifies its position as a key player in the emerging post-quantum market, particularly for European entities prioritizing supply-chain independence.

We are seeing this translate into a growing pipeline of opportunities across Europe and other regulated markets, and we believe our time-to-market, standards validation, and vertically integrated quantum stack position SEALSQ to capture a disproportionate share of this emerging spend.

Carlos Moreira, CEO of SEALSQ
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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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