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Guidelines on securing AI systems released

Securing AI
Securing AI

Artificial Intelligence (AI) offers significant benefits for the economy and society. It drives efficiency and fosters innovation across various sectors, including cybersecurity. However, to harness these benefits, it is crucial that AI systems behave as intended.

They must produce safe, secure, and responsible outcomes. AI systems are vulnerable to adversarial attacks and other cybersecurity risks. These can lead to data breaches and other harmful consequences.

Therefore, AI must be secure by design from the outset. The Cyber Security Agency of Singapore (CSA) has developed the “Guidelines on Securing AI Systems.” These guidelines aim to help system owners secure AI throughout its lifecycle. They protect AI systems against traditional cybersecurity threats, such as supply chain attacks.

The guidelines also address emerging risks like Adversarial Machine Learning.

Securing AI against threats

CSA has collaborated with AI and cybersecurity practitioners to create a “Companion Guide on Securing AI Systems.” This community-driven resource complements the main guidelines.

It curates practical measures, security controls, and best practices from both industry and academia. The guide references resources such as the MITRE ATLAS database and the OWASP Top 10 for Machine Learning and Generative AI. These provide comprehensive protection strategies.

The field of AI security continues to develop. The Guidelines and Companion Guide will be maintained as living resources, with updates to account for new advancements. System owners and other stakeholders are invited to contribute their views and suggestions.

This will help evolve these documents. The Cyber Security Agency of Singapore is located at 5 Maxwell Road #03-00 Tower Block, MND Complex, Singapore 069110. For more information on these guidelines or to submit feedback, please visit their office.

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