A quiet but steady change has become a noisy disturbance. Originally a future idea, Agentic AI is changing how companies create, test, and distribute software. It’s no longer a theory. It's working. It is scalable. It also leaves behind companies that depend on traditional testing strategies. The question is, "Why haven't we already?" not "Should we adopt artificial intelligence?"
The global market for Information technologies is growing by leaps and bounds with new and advanced software products and applications. As the demand is huge for software products and applications, there is also a considerable risk of cyber-attacks and data breaches. To prevent such malicious activities, industry bodies and regulatory standards have been established. Ensuring compliance will help secure the products and applications. In this article, you will get a brief understanding of compliance-driven security testing.
The adaptive AI platform has taken AI to an all-new level of increased efficiency and optimal outcomes. Adaptive AI is also known as continual learning or dynamic learning. The creation of algorithms is required, which can adapt and learn to new situations in the data and environment over time. As per research, by 2026, those organizations that will and have proactively embraced the adaptive AI platform will be able to outperform their competitors by 25%. In this article, you will have a detailed understanding of this worthwhile platform.
