Generative AI (GenAI) computer processing provides great advancements in productivity and automation, but it introduces significant risks regarding data privacy, security, and ethical concerns. The main strength of AI lies in it’s ability to interpret, summarise, and generate content—including code and natural language—which can speed up workflows, but this often comes at the cost of high energy consumption and risks of accuracy
Some of the common issues to consider are:
- Data inaccuracy – Models can produce false or misleading information confidently, requiring human oversight
- Data Security and Privacy – Sensitive information entered into public GenAI tools can lead to data breaches or intellectual property theft, and DLP.
- Ethical and Legal Issues – Risks include bias amplification, copyright infringement, and the creation of deceptive deepfakes, creative commons use and attribution of credit
- Unauthroised Access – AI access control and use within and outside of organisational policy.
- Technical Debt – AI – generated code might create a longer term reliance and maintenace legacy.
- Human Oversight and Data Governance – Are the correct organisational structures and policies in place to manage the use of AI content.
Contact your CANDA AI Security experts to help guide you through all of the traps and pitfalls of using this technology for the greatest gain to your organisation.
