news 
**AI-Led Transformation Of The Computing Model And Its Implications On Security**
The advent of generative AI models has sent shockwaves through the technology landscape, with far-reaching implications for the computing model and, by extension, security. While it’s often argued that AI will revolutionize everything, I’d like to focus on the more specific consequences of this transformative shift in computing infrastructure.
Firstly, it’s essential to acknowledge that AI is not a radical departure from existing models. The underlying systems infrastructure surrounding the AI stack remains unchanged – CPU-based systems continue to be necessary for scheduling and arbitration. Furthermore, deploying AI-driven applications resembles traditional application deployment scenarios; they interact with other microservices over web APIs as part of a broader application.
However, the introduction of generative capabilities has significant implications for security. The primary concern lies in adapting existing security infrastructure to accommodate these new requirements. Traditional security solutions and best practices will need to be extended to address AI-level threats such as prompt injection and hallucinations within generated code.
To effectively secure this transformed computing landscape, I recommend:
1. **Expanding Beyond System Metadata**: Telemetry captured by traditional security agents should now incorporate application-level data, providing a broader scope of insight.
2. **Processing Data Locally**: The sheer volume, velocity, and variety of new application data necessitates processing it locally at the source, rather than transporting it to the cloud for analysis.
3. **Securing AI with AI**: Leveraging AI itself for effective security analysis is crucial in addressing the inherently unstructured nature of this data. Local processing and AI-based analysis are essential for detecting inter-agentic communication occurring at machine speed.
The AI-driven computing model will undoubtedly continue to evolve, necessitating a parallel transformation within the security space. As an industry, we must adapt our solutions to address these new challenges head-on.
**About the Author**
[Your Name] is a member of Forbes Technology Council, an invitation-only community for world-class CIOs, CTOs and technology executives.
I hope you find this summary accurate and helpful!
Source: https://www.forbes.com/councils/forbestechcouncil/2025/04/09/ai-led-transformation-of-the-computing-model-and-its-implications-on-security/
