Why We Founded Dawn - Read The Story Behind the Company >
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Who exactly is trying to access my data? What is the real identity?
Is this data meaningful for your business? How relevant is it?
Does this access make sense? Is it legitimate? Are there ANY identities in production that can consume data they shouldn’t?
No. There are no rules to write and no policies to maintain. Dawn learns the context of your data and your identities dynamically , so the thing you would normally tune by hand is the thing the product does itself. Your team can take action on the spot, it does not administer a policy engine.
By treating each AI Agent as an identity with a specific intent. Dawn can also indicate the agents nobody registered, maps the data each actually reached, and flags the access that was never meant to happen.
Yes - Dawn does what the IVIP category describes, and adds the half that category leaves out: the business data aspects. Knowing which identities exist and what they can reach is table stakes. Determining whether the access that happened was legitimate is what we add.
Identity tools answer who could reach what. That is a permissions question, answered before access happens. Dawn answers what those identities are actually doing with this access, and whether it should happen or not. Every customer we talk to has the first answer and none of them have the second.
Dawn deploys across your SaaS, identity and AI stack and reconstructs access history within hours. No agents on endpoints, no policy-writing phase.
Dawn is one platform spanning Identity Security, Data Security, AI Governance, and Compliance. It sits post-authorization, alongside the tools that govern what can be accessed.
DSPM classifies sensitive data but has no business context about the identities using it. Dawn classifies the data all the time, tracking any change, and reassesses whether the access to it was legitimate.
No, and no. Anomaly detection flags access that is unusual, but unusual isn't the same as wrong, and that gap is why those tools bury teams in alerts. Dawn judges legitimacy against the purpose of the access and the identity's history, so you get a decision, not a deviation to chase. If a colleague touches a new data topic for the first time, Dawn recognizes it fits their role and doesn't raise a false alarm.
Dawn is the Access Intelligence Layer, the first to unite identity and data to stop illegitimate access post-authorization across human, machine, and AI identities.
