Is prevention essentially a solved problem?

Preventing new vulnerabilities in agent-generated code requires layered controls across the development lifecycle rather than relying solely on prompts, which influence an agent’s behavior but do not guarantee secure output. The proposed approach places lightweight security guidance and fast deterministic scans, including dependency, secrets, malicious-code, and common vulnerability checks, within agents’ execution and task loops so issues can be found and fixed while the agent retains the original requirements. More complex semantic weaknesses such as authorization failures, IDOR, tenant-isolation problems, and business-logic flaws require broader LLM-based code review, but its variable results, higher cost, and dependence on test coverage generally place it later in the workflow with human oversight. Risks visible only in a running application, including exploit chains, workflow abuse, prompt injection, and data-exfiltration paths, require adversarial pre-production or post-release testing supported by validated proof-of-concept exploits. The piece argues that organizations can adopt these controls incrementally despite rapidly evolving agentic development practices, prioritizing tools that are quick to deploy, minimally disruptive, centrally configurable, and removable, while distinguishing prevention of new issues from remediation of existing vulnerability backlogs.

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