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SEALSQ’s Next-Generation AI and Quantum Security: Integrating WISeAI’s Decentralized Model

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SEALSQ Corp (NASDAQ: LAES) announced the integration of WISeAI's decentralized model into its quantum platform, combining AI with quantum computing. The company is implementing WISeAI.IO 2.0, a machine-learning tool designed to monitor Public Key Infrastructure (PKI) systems and identify security threats.

The system analyzes certificate issuance, revocation, and usage patterns to establish behavioral baselines and flag potential security threats. WISeAI.IO 2.0 is trained using SEALSQ sensors and WISeKey's Root of Trust (RoT), enhanced with post-quantum technologies. The platform processes threat intelligence data, detects emerging attack patterns, and implements risk-based authentication frameworks.

This integration aims to democratize AI innovation, enable secure data markets, and create multi-dimensional AI models through simulations and agent-based modeling. The company emphasizes that this transformation could generate significant economic value across sectors like healthcare and education.

SEALSQ Corp (NASDAQ: LAES) ha annunciato l'integrazione del modello decentralizzato di WISeAI nella sua piattaforma quantistica, combinando l'IA con il calcolo quantistico. L'azienda sta implementando WISeAI.IO 2.0, uno strumento di machine learning progettato per monitorare i sistemi di Infrastruttura a Chiave Pubblica (PKI) e identificare minacce alla sicurezza.

Il sistema analizza l'emissione, la revoca e i modelli di utilizzo dei certificati per stabilire baseline comportamentali e segnalare potenziali minacce alla sicurezza. WISeAI.IO 2.0 è addestrato utilizzando i sensori SEALSQ e il Root of Trust (RoT) di WISeKey, potenziato con tecnologie post-quantistiche. La piattaforma elabora dati di intelligence sulle minacce, rileva modelli di attacco emergenti e implementa framework di autenticazione basati sul rischio.

Questa integrazione mira a democratizzare l'innovazione nell'IA, abilitare mercati di dati sicuri e creare modelli di IA multidimensionali attraverso simulazioni e modellazione basata su agenti. L'azienda sottolinea che questa trasformazione potrebbe generare un valore economico significativo in settori come la salute e l'istruzione.

SEALSQ Corp (NASDAQ: LAES) anunció la integración del modelo descentralizado de WISeAI en su plataforma cuántica, combinando IA con computación cuántica. La empresa está implementando WISeAI.IO 2.0, una herramienta de aprendizaje automático diseñada para monitorear sistemas de Infraestructura de Clave Pública (PKI) e identificar amenazas a la seguridad.

El sistema analiza la emisión, revocación y patrones de uso de certificados para establecer líneas base de comportamiento y señalar posibles amenazas a la seguridad. WISeAI.IO 2.0 se entrena utilizando sensores SEALSQ y el Root of Trust (RoT) de WISeKey, mejorado con tecnologías post-cuánticas. La plataforma procesa datos de inteligencia sobre amenazas, detecta patrones de ataque emergentes e implementa marcos de autenticación basados en riesgos.

Esta integración tiene como objetivo democratizar la innovación en IA, habilitar mercados de datos seguros y crear modelos de IA multidimensionales a través de simulaciones y modelado basado en agentes. La empresa enfatiza que esta transformación podría generar un valor económico significativo en sectores como la salud y la educación.

SEALSQ Corp (NASDAQ: LAES)는 WISeAI의 분산 모델을 양자 플랫폼에 통합한다고 발표하며 AI와 양자 컴퓨팅을 결합합니다. 이 회사는 공공 키 인프라(PKI) 시스템을 모니터링하고 보안 위협을 식별하기 위해 설계된 머신 러닝 도구인 WISeAI.IO 2.0을 구현하고 있습니다.

이 시스템은 인증서 발급, 폐기 및 사용 패턴을 분석하여 행동 기준선을 설정하고 잠재적인 보안 위협을 플래그합니다. WISeAI.IO 2.0은 SEALSQ 센서와 WISeKey의 Root of Trust(RoT)를 사용하여 훈련되며, 포스트 양자 기술로 향상되었습니다. 이 플랫폼은 위협 정보 데이터를 처리하고, 새로운 공격 패턴을 감지하며, 위험 기반 인증 프레임워크를 구현합니다.

이 통합은 AI 혁신을 민주화하고, 안전한 데이터 시장을 가능하게 하며, 시뮬레이션 및 에이전트 기반 모델링을 통해 다차원 AI 모델을 생성하는 것을 목표로 합니다. 회사는 이 변화가 의료 및 교육과 같은 분야에서 상당한 경제적 가치를 창출할 수 있다고 강조합니다.

SEALSQ Corp (NASDAQ: LAES) a annoncé l'intégration du modèle décentralisé de WISeAI dans sa plateforme quantique, alliant IA et informatique quantique. L'entreprise met en œuvre WISeAI.IO 2.0, un outil d'apprentissage automatique conçu pour surveiller les systèmes d'Infrastructure à Clé Publique (PKI) et identifier les menaces à la sécurité.

Le système analyse l'émission, la révocation et les modèles d'utilisation des certificats pour établir des bases de comportement et signaler les menaces potentielles à la sécurité. WISeAI.IO 2.0 est formé à l'aide des capteurs SEALSQ et du Root of Trust (RoT) de WISeKey, renforcé par des technologies post-quantiques. La plateforme traite les données d'intelligence sur les menaces, détecte les modèles d'attaque émergents et met en œuvre des cadres d'authentification basés sur le risque.

Cette intégration vise à démocratiser l'innovation en IA, à permettre des marchés de données sécurisés et à créer des modèles d'IA multidimensionnels grâce à des simulations et à la modélisation basée sur des agents. L'entreprise souligne que cette transformation pourrait générer une valeur économique significative dans des secteurs tels que la santé et l'éducation.

SEALSQ Corp (NASDAQ: LAES) hat die Integration des dezentralen Modells von WISeAI in seine Quantenplattform angekündigt, um KI mit Quantencomputing zu kombinieren. Das Unternehmen implementiert WISeAI.IO 2.0, ein maschinelles Lernwerkzeug, das entwickelt wurde, um Systeme der Public Key Infrastructure (PKI) zu überwachen und Sicherheitsbedrohungen zu identifizieren.

Das System analysiert die Ausstellung, Widerruf und Nutzungsmuster von Zertifikaten, um Verhaltensgrundlagen zu etablieren und potenzielle Sicherheitsbedrohungen zu kennzeichnen. WISeAI.IO 2.0 wird mit SEALSQ-Sensoren und dem Root of Trust (RoT) von WISeKey trainiert, das mit post-quanten Technologien verbessert wurde. Die Plattform verarbeitet Bedrohungsdaten, erkennt aufkommende Angriffsmuster und implementiert risikobasierte Authentifizierungsframeworks.

Diese Integration zielt darauf ab, KI-Innovation zu demokratisieren, sichere Datenmärkte zu ermöglichen und multidimensionale KI-Modelle durch Simulationen und agentenbasiertes Modellieren zu schaffen. Das Unternehmen betont, dass diese Transformation signifikanten wirtschaftlichen Wert in Sektoren wie Gesundheitswesen und Bildung generieren könnte.

Positive
  • Integration of advanced AI security features through WISeAI.IO 2.0
  • Enhanced threat detection and prevention capabilities
  • Implementation of post-quantum technologies for future-proof security
  • Development of secure data marketplace potential
Negative
  • None.

Insights

The integration of WISeAI's decentralized model into SEALSQ's quantum platform marks a strategic evolution in cybersecurity architecture. The implementation combines three critical technologies: quantum-resistant security, artificial intelligence, and blockchain-based verification systems. This creates a unique value proposition in the rapidly growing $17.9 billion PKI market.

The technical architecture is particularly noteworthy for several reasons:

  • The federated learning approach allows for AI model training without compromising sensitive data, addressing a critical concern in enterprise security
  • Integration of quantum-resistant algorithms future-proofs the security infrastructure against quantum computing threats
  • The behavioral analysis capabilities of WISeAI.IO 2.0 create a dynamic security perimeter that adapts to emerging threats

The market timing is strategic, as organizations are increasingly seeking quantum-resistant security solutions ahead of NIST's post-quantum cryptography standardization. The combination of AI-driven threat detection with quantum-resistant capabilities positions SEALSQ ahead of traditional PKI providers who lack these advanced features.

However, the implementation timeline and resource requirements for this integration remain unclear. The success will largely depend on SEALSQ's ability to execute the technical integration while maintaining competitive pricing in a market where cost-effectiveness is important for adoption.

Geneva, Switzerland, Feb. 13, 2025 (GLOBE NEWSWIRE) --

SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), a company that focuses on developing and selling Semiconductors, PKI, and Post-Quantum technology hardware and software products, today announced that is integrating WISeAI’s decentralized model into its end-to-end quantum platform, creating a secure, transparent, and equitable AI boosted by quantum computing.

This approach enables secure data markets where data exchange is protected, ensuring privacy and fair compensation. Multi-dimensional AI models will learn from real-world experiences through simulations and agent-based modeling. Verifiable AI mechanisms, such as federated learning and blockchain, will ensure responsible development and deployment. AI solution exchanges will provide platforms for individuals and businesses to access, develop, and contribute to AI solutions tailored to diverse needs.

By decentralizing AI, SEALSQ aims to democratize innovation, empower individuals and small businesses to participate in AI advancements, create valuable solutions, and capture economic benefits. This transformation has the potential to unlock trillions in economic value by addressing critical challenges in healthcare, education, and other sectors. Decentralized AI will also help build a more equitable and inclusive future by reducing biases and promoting fair access to AI-driven opportunities.

To further enhance security within this ecosystem, SEALSQ is integrating WISeAI.IO 2.0, a cutting-edge machine-learning tool into its quantum platform. WISeAI.IO 2.0 is specifically designed to monitor behavior and activities within a Public Key Infrastructure (PKI) system, identifying any abnormal patterns or suspicious activities. By analyzing large volumes of data related to certificate issuance, revocation, and usage, WISeAI algorithms establish a behavioral baseline, flagging deviations as potential security threats such as unauthorized certificate issuance or suspicious usage. This capability is essential in detecting and mitigating attacks on Roots of Trust (RoTs).

In cybersecurity, a RoT serves as the foundational trusted entity or component that enables secure operations within a system. It ensures the integrity, authenticity, and confidentiality of digital transactions and communications. Typically, RoTs are highly protected and tamper-resistant, making them crucial for establishing trust in digital ecosystems.

WISeAI.IO 2.0 is being trained on data collected by SEALSQ sensors, authenticated by WISeKey’s RoT, and reinforced with post-quantum technologies. This enables WISeAI to detect anomalies by interpreting the flow of information and identifying potential security threats. WISeAI can process vast amounts of threat intelligence data, including known attack patterns, malware signatures, and security vulnerabilities. Through advanced machine learning techniques, it can detect emerging attack patterns or zero-day vulnerabilities, allowing security teams to proactively respond and fortify RoTs against evolving threats.

Additionally, WISeAI enhances authentication and identity verification within PKI systems. By analyzing multiple factors such as user behavior, device characteristics, and contextual information, WISeAI establishes a risk-based authentication framework. This adaptive security model evaluates the risk associated with authentication attempts and triggers additional security steps—or denies access—if suspicious activity is detected. This ensures that only authorized users with trusted digital identities can access RoTs, preventing unauthorized intrusions.

Beyond real-time threat detection, WISeAI leverages predictive analytics to anticipate potential security breaches. By analyzing historical data, its algorithms identify patterns that indicate an increased risk of compromise. This proactive approach enables security teams to reinforce RoTs before vulnerabilities can be exploited. Furthermore, WISeAI assists in prioritizing security measures and optimizing resource allocation based on the likelihood and potential impact of various cyberattacks.

At this pivotal moment, all stakeholders must take action. Businesses must adopt decentralized AI models to foster innovation and security, governments should support collaborative ecosystems with policies that encourage responsible AI deployment, and individuals must develop AI literacy and actively contribute to this evolving landscape. By working together, we can unlock AI’s full potential and build a more secure, prosperous, and inclusive future for all.

About SEALSQ:
SEALSQ is a leading innovator in Post-Quantum Technology hardware and software solutions. Our technology seamlessly integrates Semiconductors, PKI (Public Key Infrastructure), and Provisioning Services, with a strategic emphasis on developing state-of-the-art Quantum Resistant Cryptography and Semiconductors designed to address the urgent security challenges posed by quantum computing. As quantum computers advance, traditional cryptographic methods like RSA and Elliptic Curve Cryptography (ECC) are increasingly vulnerable.

SEALSQ is pioneering the development of Post-Quantum Semiconductors that provide robust, future-proof protection for sensitive data across a wide range of applications, including Multi-Factor Authentication tokens, Smart Energy, Medical and Healthcare Systems, Defense, IT Network Infrastructure, Automotive, and Industrial Automation and Control Systems. By embedding Post-Quantum Cryptography into our semiconductor solutions, SEALSQ ensures that organizations stay protected against quantum threats. Our products are engineered to safeguard critical systems, enhancing resilience and security across diverse industries.

For more information on our Post-Quantum Semiconductors and security solutions, please visit www.sealsq.com.

Forward-Looking Statements
This communication expressly or implicitly contains certain forward-looking statements concerning SEALSQ Corp and its businesses. Forward-looking statements include statements regarding our business strategy, financial performance, results of operations, market data, events or developments that we expect or anticipates will occur in the future, as well as any other statements which are not historical facts. Although we believe that the expectations reflected in such forward-looking statements are reasonable, no assurance can be given that such expectations will prove to have been correct. These statements involve known and unknown risks and are based upon a number of assumptions and estimates which are inherently subject to significant uncertainties and contingencies, many of which are beyond our control. Actual results may differ materially from those expressed or implied by such forward-looking statements. Important factors that, in our view, could cause actual results to differ materially from those discussed in the forward-looking statements include SEALSQ's ability to continue beneficial transactions with material parties, including a limited number of significant customers; market demand and semiconductor industry conditions; and the risks discussed in SEALSQ's filings with the SEC. Risks and uncertainties are further described in reports filed by SEALSQ with the SEC.

SEALSQ Corp is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.

SEALSQ Corp.
Carlos Moreira
Chairman & CEO
Tel: +41 22 594 3000
info@sealsq.com
SEALSQ Investor Relations (US)
The Equity Group Inc.
Lena Cati
Tel: +1 212 836-9611
lcati@equityny.com


FAQ

What is SEALSQ's new AI integration with WISeAI and how does it affect LAES stock?

SEALSQ is integrating WISeAI's decentralized model into its quantum platform, adding advanced security features through WISeAI.IO 2.0. This integration enhances the company's security offerings and could potentially create new revenue streams through secure data marketplaces.

How does SEALSQ's WISeAI.IO 2.0 protect against security threats?

WISeAI.IO 2.0 monitors PKI systems, analyzes certificate usage patterns, and uses machine learning to detect anomalies and potential security threats. It processes threat intelligence data and implements risk-based authentication frameworks.

What are the key features of SEALSQ's new quantum-AI platform?

The platform features decentralized AI models, post-quantum technologies, behavioral monitoring capabilities, predictive analytics for security breaches, and risk-based authentication frameworks.

How will SEALSQ's AI integration impact data security and privacy?

The integration aims to create secure data markets with protected data exchange, ensuring privacy and fair compensation while implementing advanced security measures through WISeAI.IO 2.0's monitoring and threat detection capabilities.

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