Wire · technology
Securing the Agentic Shift: Data Protection Across the AI Data Path
◆ Sectors
Cybersecurity
◆ Source
◆ Verified
Fusion42 · 2 September 2026 · Fusion42 review
AI data security is evolving from preventing manual data leaks by employees to controlling AI agents' autonomous access and sharing of sensitive information via protocols like MCP and Agent2Agent, requiring a new approach to data loss prevention.
This Wire brief sits within Fusion42's coverage of Cybersecurity.
◆ ◆ The Wire takeaway
Your data protection now needs to cover AI agents acting autonomously with sensitive data rather than only manual user actions. Shift your compliance and security tools to control AI-to-AI data flows and sanctioned app usage before automated leaks happen.
◆ Coverage
1 source · 1 Sep 2026
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Cybersecurityai-securitydata-protectiondlpagentic-aimodel-context-protocol