WISeKey AI Capabilities to Increase Cybersecurity and Performance of Post-Quantum Semiconductors by Assisting in the Design and Optimization

Rhea-AI Summary

WISeKey International Holding (NASDAQ: WKEY) has announced advancements in cybersecurity and the performance of post-quantum semiconductors through the application of AI. This innovation aims to optimize the design and accelerate the discovery of new semiconductor materials, enhancing quantum device functionalities. The integration of AI facilitates advanced threat detection, anomaly detection, and automated responses, improving security protocols against cyber threats. Potential applications for these semiconductors include quantum computing, cryptography, quantum sensing, quantum communications, and quantum machine learning. WISeKey leverages its extensive microprocessor network to drive growth in the Internet of Things sector and aims to provide a robust cybersecurity framework.

Positive

• Advancement in AI capabilities to enhance post-quantum semiconductor performance.
• Potential applications span across quantum computing, cryptography, and more.
• AI-driven threat detection and anomaly identification could improve cybersecurity.

Negative

• None.

WISeKey AI Capabilities to Increase Cybersecurity and Performance of Post-Quantum Semiconductors by Assisting in the Design and Optimization

Geneva, Switzerland – April 18, 2023: WISeKey International Holding (“WISeKey”, SIX: WIHN, NASDAQ: WKEY), a leading cybersecurity, AI and IoT company, announced today that using AI capabilities to increase the performance of post-quantum semiconductors by assisting in the design and optimization of these materials. AI can be used to simulate and model the behavior of these semiconductors, which can help researchers to identify the most promising materials for use in quantum devices.

Post-quantum semiconductors are an important area of research in the field of quantum computing. They offer the potential to improve the performance and security of devices that rely on quantum technologies.

AI plays a significant role in increasing the performance of post-quantum semiconductors as it can be used to simulate and model the behaviour of these semiconductors, which can help researchers to identify the most promising materials for use in quantum devices.

AI can also improve the performance of post-quantum semiconductors is by accelerating the discovery of new materials with desirable properties. Machine learning algorithms can be trained on large datasets of known semiconductors to identify patterns and correlations between their properties and performance. This can then be used to predict the properties of new materials before they are synthesized, saving time and resources.

AI also plays a crucial role in enhancing the cybersecurity of post-quantum semiconductors by providing advanced threat detection and analysis capabilities and leveraging machine learning algorithms to analyze network traffic and detect potential threats. AI can learn to identify patterns of activity that indicate a cyberattack, such as unauthorized attempts to access sensitive data, and respond accordingly. By analyzing massive amounts of data in real-time, AI can quickly detect and respond to threats before they cause any significant damage and by using behavioral analytics to detect unusual activity in the network. By analyzing user behavior, AI can detect anomalies that may indicate an attempted breach, such as a user attempting to access data they normally wouldn't, or a user logging in from an unusual location. This information can be used to trigger alerts and take proactive measures to prevent the breach from occurring.

AI can also be used to develop automated response systems that can respond to threats in real-time. For example, if a post-quantum semiconductor is under attack, an AI-powered system can automatically shut down or isolate the compromised system, block malicious traffic, and take other necessary actions to prevent further damage. This can be especially useful in situations where a human response would be too slow or not possible.

Post-quantum semiconductors have the potential to improve the performance and security of a wide range of quantum technologies. Here are some potential use cases for post-quantum semiconductors:

1. Quantum Computing: Post-quantum semiconductors can be used to create the building blocks of quantum computers, such as qubits, which are essential for performing quantum calculations. By using post-quantum semiconductors with improved performance and security, researchers can develop more powerful and reliable quantum computers.
2. Cryptography: Post-quantum semiconductors can be used to create more secure cryptographic protocols that are resistant to attacks by quantum computers. For example, post-quantum semiconductors can be used to create new encryption algorithms that are resistant to attacks by Shor's algorithm, a quantum algorithm that can efficiently factor large integers.
3. Quantum Sensing: Post-quantum semiconductors can be used to create sensors that are capable of detecting and measuring quantum phenomena, such as superposition and entanglement. These sensors could be used in a wide range of applications, such as medical imaging, environmental monitoring, and materials science.
4. Quantum Communications: Post-quantum semiconductors can be used to create more secure communication channels that are resistant to attacks by quantum computers. For example, post-quantum semiconductors can be used to create new quantum key distribution protocols that are more secure than classical cryptography.
5. Quantum Machine Learning: Post-quantum semiconductors can be used to accelerate the training and inference of quantum machine learning models, which can be used for a wide range of applications, such as drug discovery, financial modeling, and image recognition.
   
   

About WISeKey
WISeKey (NASDAQ: WKEY; SIX Swiss Exchange: WIHN) is a leading global cybersecurity company currently deploying large scale digital identity ecosystems for people and objects using Blockchain, AI and IoT respecting the Human as the Fulcrum of the Internet. WISeKey microprocessors secure the pervasive computing shaping today’s Internet of Everything. WISeKey IoT has an install base of over 1.5 billion microchips in virtually all IoT sectors (connected cars, smart cities, drones, agricultural sensors, anti-counterfeiting, smart lighting, servers, computers, mobile phones, crypto tokens etc.). WISeKey is uniquely positioned to be at the edge of IoT as our semiconductors produce a huge amount of Big Data that, when analyzed with Artificial Intelligence (AI), can help industrial applications to predict the failure of their equipment before it happens.

Our technology is Trusted by the OISTE/WISeKey’s Swiss based cryptographic Root of Trust (“RoT”) provides secure authentication and identification, in both physical and virtual environments, for the Internet of Things, Blockchain and Artificial Intelligence. The WISeKey RoT serves as a common trust anchor to ensure the integrity of online transactions among objects and between objects and people. For more information, visit www.wisekey.com.

Press and investor contacts:
WISeKey International Holding Ltd
Company Contact: Carlos Moreira
Chairman & CEO
Tel: +41 22 594 3000
info@wisekey.com

WISeKey Investor Relations (US)
Contact: Lena Cati
The Equity Group Inc.
Tel: +1 212 836-9611
lcati@equityny.com

Disclaimer:
This communication expressly or implicitly contains certain forward-looking statements concerning WISeKey International Holding Ltd and its business. Such statements involve certain known and unknown risks, uncertainties and other factors, which could cause the actual results, financial condition, performance or achievements of WISeKey International Holding Ltd to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. WISeKey International Holding Ltd 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.

This press release does not constitute an offer to sell, or a solicitation of an offer to buy, any securities, and it does not constitute an offering prospectus within the meaning of article 652a or article 1156 of the Swiss Code of Obligations or a listing prospectus within the meaning of the listing rules of the SIX Swiss Exchange. Investors must rely on their own evaluation of WISeKey and its securities, including the merits and risks involved. Nothing contained herein is, or shall be relied on as, a promise or representation as to the future performance of WISeKey.

FAQ

What are the recent advancements by WISeKey regarding post-quantum semiconductors?

WISeKey is using AI to enhance the design and optimization of post-quantum semiconductors, which can improve their performance and security.

How does AI improve cybersecurity in WISeKey's post-quantum semiconductors?

AI enhances cybersecurity by providing advanced threat detection, modeling user behavior, and enabling automated responses to potential attacks.

What potential applications are there for WISeKey's post-quantum semiconductors?

Potential applications include quantum computing, cryptography, quantum sensing, quantum communications, and quantum machine learning.

What is the stock symbol for WISeKey?

The stock symbol for WISeKey is WKEY.

When was the press release about WISeKey's AI capabilities issued?

The press release was issued on April 18, 2023.