In most organizations, unstructured data is scattered across email, SaaS apps, collaboration tools, cloud file stores, and on‑prem systems, with AI tools increasingly reading, indexing, and generating content on top of it.
Traditional tools either focus on isolated channels or only scan specific storage locations, leaving leaders effectively “flying blind” when trying to quantify risk and prioritize data‑security investments.
As AI, copilots, and AI agents spread into everyday workflows, this lack of visibility becomes existential: teams do not know which systems hold regulated data, where customer content is duplicated, or which repositories are quietly feeding AI pipelines.
Without a clear map of the data surface, AI governance, compliance, and incident response all become reactive and fragile.
Data Surface Visibility in Bonfy v2.0 is a dedicated experience that visualizes data‑at‑rest risk across your organization, complementing Bonfy’s existing activity‑based dashboards for data in motion and in use.
It pulls together insights from traditional data centers, on‑prem file stores, cloud buckets like AWS S3, and platforms such as SharePoint and Google Drive, to show where sensitive content is concentrated and how it is classified.
Inside the Bonfy console, teams can:
Because Data Surface Visibility is part of Bonfy’s multi‑channel architecture, organizations get one consistent understanding of their data (at rest, in motion, and in use) rather than a patchwork of disconnected scans.
Seeing the data surface is only useful if it leads to better decisions and measurable risk reduction. Bonfy v2.0 is designed to turn insight into action by pairing Data Surface Visibility with data minimization and strong security controls.
Regulated industries have been hesitant to adopt new data‑security platforms because they worry the platform itself becomes another concentration of sensitive data. Bonfy addresses this head‑on.
Bonfy v2.0 includes:
These capabilities work together to ensure that Data Surface Visibility reduces risk on two fronts: it illuminates the organization’s own risk posture, and it minimizes any risk associated with using Bonfy as the data‑security platform.
Data Surface Visibility also marks Bonfy’s deliberate step into territory traditionally associated with DSPM, but with a broader AI‑era perspective.
Where many DSPM tools focus narrowly on cloud data lakes or single providers and then stop at discovery, Bonfy combines data‑at‑rest insight with cross‑channel monitoring and prevention for email, SaaS apps, collaboration platforms, AI systems, and AI agents.
For mid‑sized and greenfield organizations that have not yet invested in DSPM, or have found existing options too complex or costly, Bonfy v2.0 becomes an almost all‑in‑one foundation:
In practice, this means a single system can show that the same user who is leaking sensitive information via a browser extension is also oversharing in SharePoint and sending risky emails, all within the same 24‑hour period, so security teams can act at the entity level, not just at the incident level.
As AI becomes embedded across the enterprise, governance programs need a concrete starting point grounded in real data, not hypothetical risk models. Bonfy’s Data Surface Visibility gives CISOs, data‑protection leaders, and AI program owners that starting point.
By showing where sensitive data resides, how it is classified, and how it connects to human and AI actors, Bonfy helps organizations prioritize which systems to onboard to AI, which to ring‑fence, and where additional controls are non‑negotiable.
Coupled with Bonfy’s protection for AI consumption (such as Copilot and SaaS AI assistants) and AI development (custom GenAI apps and agents), Data Surface Visibility turns AI governance from an abstract policy exercise into a measurable, data‑driven practice.
With Bonfy v2.0, security teams no longer have to choose between partial visibility or overwhelming complexity. They get a clear, unified view of the data surface and a practical way to manage risk as AI reshapes how their organizations work.
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