Mimecast wins in Data Leakage Prevention (DLP) category for Incydr, its modern data loss prevention platform designed to address the growing challenge of data leakage across cloud, collaboration, browser, email and endpoint environments where traditional DLP tools often struggle to deliver visibility or operational efficiency.

The company positions Incydr as an alternative to legacy policy-heavy DLP platforms, arguing that conventional approaches rely too heavily on complex rule creation, regex tuning and manual administration that can slow deployment and overwhelm already stretched security teams. Instead, Mimecast focuses on rapid implementation and AI-driven risk prioritisation designed to help organisations identify and respond to insider threats and data exfiltration activity more efficiently.

At the centre of the platform is an AI-powered risk engine that analyses more than 250 insider risk indicators to prioritise suspicious behaviour and potentially risky data movement. Mimecast says the platform can be deployed immediately without requiring extensive policy creation, allowing organisations to gain visibility into data exposure risks faster than with traditional DLP implementations.

The platform also incorporates adaptive response controls, including real-time blocking, auditable exception workflows and in-the-moment micro-training designed to influence user behaviour at the point of risk. Mimecast positions this combination of visibility, automation and behavioural intervention as particularly important as organisations contend with increasingly distributed workforces, unsanctioned SaaS adoption and the growing use of generative AI tools.

A key focus of the product is visibility into modern exfiltration channels, including browser activity, collaboration platforms and unsanctioned AI usage that may bypass traditional security controls. The company also highlights no-code workflow automation and integrations across broader security ecosystems as differentiators aimed at reducing operational burden for lean security teams.

Mimecast says customers benefit from rapid deployment, minimal agent overhead, reduced investigation times and lower administrative costs, alongside measurable return on investment. Customers include Lyft and Certinia, which the company argues demonstrate the platform’s ability to support large-scale enterprise environments without the complexity traditionally associated with DLP deployments.

The judging panel said the submission distinguished itself by directly addressing the operational shortcomings of legacy DLP technologies while aligning closely with the realities of cloud-first enterprise environments and evolving insider threat risks.

“Mimecast delivered a highly focused, well-evidenced and commercially compelling DLP entry that judges saw as a category-leading winner.”

The judges pointed to the use of ROI metrics, time reduction statistics and customer evidence as strengthening the credibility of the entry and demonstrating why organisations continue to adopt the platform. Judges further described the solution as highly relevant to the future of data leakage prevention, particularly as enterprises look beyond legacy DLP approaches toward AI-driven, behaviour-focused security models capable of operating effectively across complex and distributed environments.

Kelley Damore Chief Content Officer CyberRisk Alliance

Kelley Damore is Chief Content Officer at CyberRisk Alliance, where she leads content strategy across the company’s digital brands, research, communities and live events serving CISOs and security practitioners. At CyberRisk Alliance, she is focused on delivering 365-day engagement, trusted journalism and actionable insights to help security leaders navigate an increasingly complex threat landscape.