Guidelines and Companion Guide on Securing AI Systems
The Cyber Security Agency of Singapore (CSA) has issued Guidelines on Securing AI Systems alongside a Companion Guide to help system owners secure AI throughout its lifecycle. These documents address both classical cybersecurity risks and novel threats such as adversarial machine learning and supply chain attacks. Maintained as living resources, they incorporate practical measures, security controls, and best practices from industry and academia.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
System owners, AI practitioners, and cybersecurity professionals looking to secure AI systems against cyber threats.
What the document contains
The documents cover cybersecurity measures, security controls, and best practices for securing artificial intelligence systems across their lifecycle against classical cybersecurity risks and novel threats like adversarial machine learning.
The provided text does not contain detailed legal enforcement mechanisms, statutory penalties, or formal regulatory definitions.
- AI systems are vulnerable to adversarial attacks and other cybersecurity risks that can cause data breaches or harmful outcomes.
- AI systems should be secure by design and secure by default to manage security risks proactively from the outset.
- The Cyber Security Agency of Singapore has developed Guidelines on Securing AI Systems to protect systems throughout their lifecycle.
- A community-driven Companion Guide complements the guidelines by curating practical measures, security controls, and best practices from industry and academia.
- The guidelines and companion guide are maintained as living resources to account for new developments in AI security.
· Guidelines on Securing AI Systems · Companion Guide on Securing AI Systems
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Guidelines and Companion Guide on Securing AI Systems
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
Guidelines and Companion Guide on Securing AI Systems
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Guidelines and Companion Guide on Securing AI Systems
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
Guidelines and Companion Guide on Securing AI Systems
screening score · 2026-10-23
Privacy
1/5Protection of personal data and private life
These can lead to data breaches or other harmful outcomes.
Guidelines and Companion Guide on Securing AI Systems
screening score · 2026-10-23
Transparency
0/5Openness about how AI systems work and are used
Guidelines and Companion Guide on Securing AI Systems
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Guidelines and Companion Guide on Securing AI Systems
screening score · 2026-10-23
Impact Assessment
2/5Required assessment of an AI system's risks/impacts before or during use
This proactive approach will allow system owners to manage security risks from the outset.
Guidelines and Companion Guide on Securing AI Systems
screening score · 2026-10-23