If 2023 and 2024 were the years of exploration, hype and excitement around AI, 2025 (and 2026) will be the year(s) that organizations start to focus on specific use cases for the most productive implementations of AI and, more importantly, to understand how to implement guardrails and governance so that it is viewed as less of a risk by security teams and more of a benefit to the organization.
Don’t get me wrong, organizations are already starting to adopt AI across a broad range of business divisions:
- Businesses are developing applications that add Large Language Model (LLM) capabilities to provide superior functionality and advanced personalization
- Employees are using third party GenAI tools for research and productivity purposes
- Developers are leveraging AI-powered code assistants to code faster and meet challenging production deadlines
- Companies are building their own LLMs for internal use cases and commercial purposes.
