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Incorporating Big Data, deep learning, and machine learning, Artificial Intelligence (AI) seeks to enable machines to work and learn like humans do. In the field of information security, AI both bolsters cyberattack effectiveness and reinforces data protection ability, proving to be crucial for cybersecurity in the future. AI has already been integrated into the business operations of enterprises everywhere. However, hackers can infiltrate and manipulate the AI once they obtain the confidential data such as authentication information and training modules. On the defensive side, AI is most commonly applied in predictive analytics, where it uses machine learning to analyze large amounts of data to find anomalies.

 

The AI market expects to grow 31.38% every year from 2017 and is predicted to hit $34.8 billion USD by 2025. The main industries that grow the AI market such as telecom, transactions, advertising, business services, healthcare, retail, automotive, legal services, public sectors, and insurance all bring considerable growth to the AI market.

[Ref: Mordor Intelligence, Allied market research, Cision PR news]

Imagine a future where smart robots can be seen working alongside humans everywhere from shopping malls, to stores, to workplaces and even hospitals. As technology advances, the tasks that these robots can perform increases in complexity and brings them closer to people’s living spaces. Suppose that some unsavory character stalks and monitors you constantly through the eyes of the robot that they hijacked, or one peaceful night the robots that are on caretaker duty in a hospital loses control and harms the patients. Well, doesn’t that make you shudder?

 

Hardware security in the field of AI has many applications. Firstly, it protects the intellectual assets, big data, and algorithms that are essential to AI design and operation. Secondly, it defends malicious invasion from third parties while AI machines are going through deep learning or conducting missions. Thirdly, it provides secure storage for sensitive data such as business confidential information, or personal privacy in healthcare, consumption or telecommunication.

 

The applications mentioned above can be achieved through functions such as PUFsecurity’s PUF-based UID, cryptography, and authentication. Due to NeoPUF’s robust, unpredictable, and stable features, it can provide AI machines with secure and long-lasting safeguards. Furthermore, as AI requires a large amount of software updates, our hardware security can also provide layered safeguards to prevent AI machines from getting infected via malware when updating procedures.

Usually, AI-involved smart services are those using trained modules and Big Data to analyze information and transfer them into delicate reactions. Ideally, trained AI algorithms should be seamlessly integrated with its own hardware security module for a completely secure operating system. We recommend that the AI follows security standards FIPS Level 3 or higher, which not only helps protect the intellectual property but also set up alert and reaction process for better safeguards.