What is Agentic AI in the context of DevSecOps?

Agentic AI in DevSecOps refers to autonomous, decision-making AI agents that proactively manage and optimize development, security, and operations tasks. These agents continuously learn, adapt, and act within CI/CD pipelines to enforce security, improve code quality, and accelerate delivery.

How is Agentic AI different from traditional DevSecOps automation?

Unlike traditional automation, which follows predefined rules or scripts, Agentic AI operates autonomously. It can reason, learn from context, make decisions, and act dynamically. It allows intelligent responses to real-time changes, emerging threats, or code anomalies in DevSecOps workflows.

What benefits does Agentic AI bring to CI/CD pipelines?

Agentic AI enhances CI/CD pipelines by accelerating delivery, reducing human intervention, and proactively resolving issues. It enables real-time vulnerability mitigation, smarter test coverage, adaptive deployment strategies, and continuous security enforcement.

How does Agentic AI improve security testing?

Agentic AI improves security testing by autonomously identifying, prioritizing, and addressing vulnerabilities throughout the pipeline. It continuously learns from past threats and adapts to evolving attack patterns, enabling proactive threat detection and remediation during development.

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