What are agentic workflows? A practical guide to building and securing them

Agentic workflows are AI-driven processes in which one or more autonomous agents use language models, tools, memory, and orchestration systems to assess context, choose actions at runtime, and work toward goals with limited human intervention, unlike traditional automation based on fixed rules. They are increasingly used in customer support, IT operations, finance, software development, and security, but their ability to call APIs, execute scripts, modify records, generate code, and install dependencies creates risks including excessive permissions, manipulated inputs, insecure code, malicious packages, and dependency vulnerabilities. The text argues that effective governance requires least-privilege access, protected credentials, early code scanning, reachability analysis to prioritize exploitable vulnerabilities, audit logs, stop conditions, and human approval for consequential actions. It also presents security-focused agents as useful for automating vulnerability triage, remediation, malware response, and policy checks, citing Endor Labs research and products to support an evidence-based security harness approach that provides agents with contextual risk and fix information.

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