Proofpoint has rolled out new innovations across its collaboration security and data security portfolios to secure what it calls the “agentic workspace” — the emerging environment where people and AI agents cooperate to execute business-critical tasks across email, communication and data systems.
As organisations accelerate the use of AI assistants and autonomous agents, the cybersecurity landscape is entering a new phase of delegated trust. AI models are now drafting emails, retrieving confidential data and taking autonomous actions at machine speed — but unlike rule-based systems, they operate on probabilistic outputs. This shift requires new ways of validating intent and monitoring behaviour beyond traditional identity or access controls.
Email continues to be the main ingress point for attackers, and proof of compromise often becomes harder to detect as AI systems increase the scale and velocity of information exchange.
Proofpoint’s latest platform update integrates layered email defences, AI-driven data access governance, and hybrid data visibility into a unified console to help security teams reduce blind spots and manage risk with less operational complexity.
Integrating its secure email gateway and API-based protection technologies into a single architecture secures both external inbound traffic and lateral internal email flows. Shared threat intelligence between the two systems enhances detection accuracy, while a unified management workbench simplifies policy administration and response.
“Email remains the front door to the enterprise, especially in environments where people and AI agents act on shared information. Our goal is to connect detection signals across layers to reveal intent, not just incidents, and protect both human users and AI systems operating inside the same communication framework,” said Tom Corn (top), Executive Vice President and General Manager of Proofpoint’s Threat Protection Group.
Expanding data governance
Alongside collaboration security, Proofpoint has broadened its AI data access governance capabilities to give security teams real-time visibility across human, service, and AI accounts in cloud, SaaS, and on-premises environments.
Correlating identity, data sensitivity and access patterns through its data security graph enables more dynamic risk assessment based on behavioural signals rather than static access lists.
“Data risk no longer sits in one place. It moves across cloud services, on-prem systems, human users, and AI agents. In the AI era, data governance ultimately depends on understanding not only the access, but also the intent behind it,” said Mayank Chaudhary, Executive Vice President and General Manager of Proofpoint’s Data Security Group.
Proofpoint is also extending its AI-native data security posture management to on-premises systems so enterprises can locate, classify and protect sensitive data across hybrid infrastructures.
The new capabilities are expected to be available in Q2 2026, subject to rollout timelines and regional schedules.
Entelechy Asia 