Proofpoint unveiled new capabilities across its collaboration security and data security portfolios aimed at securing the agentic workspace, where people and Artificial Intelligence agents operate across email, cloud, and data environments. The company said enterprise risk is changing as organisations deploy assistants and autonomous agents that draft communications, access sensitive data, and take action at machine speed. In this environment, static access controls and identity checks alone are no longer enough, increasing the need for behavioural insight across communication and data activity.
A central part of the update is a unified email security architecture that combines Secure Email Gateway and API-based protection. Proofpoint said the integrated model links perimeter protection for north-south traffic with defence for east-west internal email activity, allowing threat intelligence and behavioural signals to flow across pre-delivery and post-delivery controls. The company said this gives customers a single workbench to manage inbound, outbound, and internal email protection, while improving visibility into compromised accounts, automated agents, internal-to-internal compromise, and direct send vulnerabilities. Proofpoint said the approach reduces console switching, simplifies policy management, and eases investigation and response workflows. The company said the platform delivers 99.999% detection efficacy.
Proofpoint also introduced Artificial Intelligence data access governance capabilities that provide visibility into access to sensitive data across SaaS, cloud, and on-prem environments. The scope includes human users, service accounts, and Artificial Intelligence agents. Security teams can identify stale entitlements, orphaned accounts, and over-permissioned access, while automated remediation workflows are designed to reduce exposure without manual, ticket-driven processes. By correlating identity activity, data sensitivity, access patterns, data loss prevention signals, and other risk indicators within the Data Security Graph, the platform is intended to support continuous risk reduction based on behavioural context and inferred intent.
The company is also extending its Artificial Intelligence-native data security posture management capabilities to on-premises environments, adding intelligent data discovery and classification across hybrid and cloud systems as well as legacy infrastructure. Proofpoint said this broader coverage gives organisations more consistent visibility into sensitive data regardless of where it resides, helps prioritise risk more accurately, and reduces exposure caused by fragmented tooling across cloud and on-prem systems. These capabilities are expected to become available in Q2 2026, with timing subject to standard product rollout considerations and regional availability.
