Emerging threats include sophisticated prompt injection attacks designed to extract sensitive data, AI model poisoning attempts through malicious training data, and social engineering attacks specifically targeting AI interactions. Threat...
Effective M365 Copilot tuning involves configuring content filters, implementing context-aware security policies, and establishing user-specific permission boundaries. Organizations should customize agent responses to avoid sensitive information exposure, implement prompt...
AI Agents introduce compliance complexities around data residency, audit trail requirements, and regulatory approval processes. The M365 Copilot API can create data flows that violate industry regulations if not...
Agent Store deployments require careful vetting of third-party agents, implementing strict permission controls, and continuous monitoring of agent behavior. Organizations must establish approval workflows, conduct security assessments of agent...
The primary data leakage risks include employees accidentally sharing sensitive information in prompts, Copilot responses containing confidential data from connected systems, and unauthorized data access through poorly configured agent...
Securing Copilot Studio requires implementing proper authentication controls, restricting agent permissions through the M365 Agent SDK, and monitoring all agent interactions for suspicious activity. Organizations must configure secure agent...
Microsoft 365 Copilot and AI Agents create new security risks. The attack vectors include data leakage through prompt injection, oversharing of sensitive information in AI responses, and unauthorized access...
