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Securing LLMs as Defensive Tools Without Creating New Attack Surfaces

Published 2026-02-27Ingested 2026-02-26AI Regulation and GovernanceHigh

Summary

CSO Online contributor Ankit Gupta outlines how large language models are arriving in enterprise security operations in three forms simultaneously: as productivity tools alongside analysts, as embedded components in security products and workflows, and as new targets that attackers can probe, manipulate, and exfiltrate. The article argues that without proper guardrails, deploying LLMs in the SOC creates a brand-new attack surface even as organizations attempt to use them defensively. The piece

Alignment: Reinforces current position
Related Positions: ai-governance-and-risk.md, agentic-workflows.md, enterprise-ai-delivery.md
llm-securitysoc-operationsprompt-injectionai-governanceattack-surfaceenterprise-securityai-risk-managementdefensive-aisecure-ai-deployment
Securing LLMs as Defensive Tools Without Creating New Attack Surfaces — Intelligence — Agentic Developer Tools Radar · Signal