TestGrid’s “7 Real-World Agentic AI Use Cases in Software Testing” describes how agentic AI transforms QA from static automation to self-improving, adaptive systems. Seven core use cases: (1) smart test-data creation that respects schema and privacy rules; (2) automated regression testing with self-healing scripts; (3) exploratory testing assistance that suggests unseen paths; (4) continuous security and penetration testing; (5) AI-driven bug triage and root-cause analysis; (6) test-case generation from requirements; and (7) continuous monitoring embedded in CI/CD pipelines. Industry examples span telecom, insurance, travel, logistics, and government, each showing faster validation and fewer defects. TestGrid’s CoTester 2.0 embodies these ideas—an always-available AI teammate offering no-c

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