Topic

Prompt Injection

Prompt injection is a security vulnerability where attackers insert malicious instructions into input text to manipulate how large language models process and respond to queries. This attack can cause AI systems to ignore safety guidelines, reveal sensitive information, or perform unintended actions, making it a critical concern for enterprises deploying LLMs in production environments. Organizations must implement input validation, output filtering, and user access controls to mitigate this risk and maintain the integrity of their AI governance frameworks.

3 items

Corporate PolicyGlobal2026-05-30

Agentic AI in Production Demands Least-Privilege Controls, DLP Integration, and Quarterly Audit Reviews, Adappt Playbook Finds

AI platform vendor Adappt has published a technically specific governance playbook for deploying agentic AI systems in production environments, recommending least-privilege permissions, scoped retrieval, data loss prevention (DLP) integration, adversarial risk testing, and structured evaluation gates. The guidance targets organizations moving autonomous AI agents from pilot to production in 2026 and specifies audit log requirements designed to support both incident response and periodic governance review. The playbook addresses a recognized gap in enterprise governance programs: the absence of operational controls for AI agents that take consequential, multi-step actions on behalf of users or systems.

agentic AI least-privilege prompt injection audit logs data loss prevention risk management model evaluation transparency accountability enterprise governance

ResearchGlobal2026-05-30

Agentic AI Collapses Traditional Attack Chains, Exposing Enterprise Governance Gaps in Agent Inventory and Tool Supply Chain Controls

Trend Micro published a research report titled 'From Anarchy to Authority: Closing the Governance Gap in Agentic AI' arguing that agentic AI systems fundamentally change enterprise risk profiles by enabling a single manipulated instruction or poisoned input to cascade across interconnected systems. The report recommends that organizations inventory all deployed agents, apply least-privilege and least-agency defaults, treat agent tools and extensions as supply-chain risks, and require human approval for high-impact autonomous actions. The findings apply globally to any enterprise deploying or evaluating agentic AI systems.

agent governance agentic AI least privilege tool supply chain prompt injection

InsightGlobal2026-05-29

Governing Claude Opus 4.8: Five Controls Every Enterprise Needs Before Deploying at Scale

Claude Opus 4.8 introduces parallel subagent orchestration, improved judgment, and mid-conversation system entries — each creating new governance surface area. Here are the five controls enterprise compliance teams need to address before deploying at scale.

Claude Anthropic agentic AI multi-agent systems enterprise governance risk management prompt injection auditing accountability transparency