AI Security and Compliance Training
EU AI Act Compliance Training
If your organisation uses AI in the EU or employs staff in the region, you need to make sure your workforce is compliant with the EU AI Act to ensure systems are safe and data is protected.
Certified AI Governance Professional
The Artificial Intelligence Governance Professional training or 'AIGP' teaches professionals how to develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies around the world.
AI Safety Risk Management Course
The new Artificial Intelligence (AI) Safety Risk gamified simulation prepares you and your team members with the skills needed to navigate the complex landscape of AI risk management.
AI Assisted Secure Software Development
This immersive three-day course introduces software developers to the transformative role of artificial intelligence in modern development workflows.
Certified AI Security Engineer
This in-depth hands-on Certified AI Security Engineer course, which includes an independent APMG exam voucher, delves into the AI security landscape.
Advanced in AI Auditor (AAIA)
This two-day, official ISACA Advanced in AI Audit (AAIA) instructor-led course provides Information Systems auditors with the essential knowledge to assess the design, governance, and operational risks associated with AI systems.
Learn more about AI security training
We supports individuals and businesses in building the AI security skills they need to meet the latest and emerging industry guidelines.
What is AI Security?
Artificial intelligence (AI) is becoming a driving force in today’s technology landscape. Its application has spanned across numerous sectors. Its rapid expansion brings unique challenges and considerations that demand specific expertise to ensure its effective, safe, and secure implementation and ongoing responsible management.
With the uptick in the adoption of AI, specific AI security risks are escalating, necessitating the need for advanced security measures. Notwithstanding the technical flaws in training an AI, it can make errors and present incorrect statements as facts, which is a flaw referred to as 'AI hallucination'.
What are AI Security Risks?
Examples of AI Security risks include prompt injection attacks, which are a major weakness in language model systems. It happens when attackers make the model behave unexpectedly by giving it certain inputs. This could lead to generating offensive content, revealing confidential information, or causing unintended issues in systems that don't check inputs properly.
Data poisoning attacks occur when attackers alter the data used to train an AI model, resulting in undesirable outcomes such as security risks and biases. As language models are increasingly employed to transfer data to third-party applications and services, these types of attacks will continue to grow.
Why is Ethical AI and Governance important?
AI ethics is a subset of applied ethics and technology that focuses on the ethical issues raised by the design, development, implementation, and use of AI.
Business professionals now face growing demands to identify and mitigate ethical risks to navigating ethical trade-offs, such as privacy and accuracy, fairness and utility, and safety, security, and accountability.
AI can influence society and individuals in various ways, both positively and negatively. As AI technology advances rapidly, it's crucial to incorporate ethical considerations into the design process from the outset.
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