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Protect sensitive data across its lifecycle with discovery, classification, DLP, encryption, and access controls to reduce insider risk.
The Challenge
Sensitive data moves through collaboration tools, cloud apps, and endpoints every day. Without classification and controls, you can’t protect what you haven’t labeled.
We design and implement the controls, integrations, and workflows aligned to your outcomes — not a product demo. Architecture decisions are driven by your risk posture, regulatory requirements, and operational constraints.
Architecture
Key capabilities we architect and integrate — selected for your environment, compliance needs, and operational constraints.
Measurable Results
Measurable outcomes tied to risk reduction and operational readiness — defined before delivery begins, validated as we go.
Delivery
Flexible delivery models sized to your urgency, scope, and organizational maturity.
Discover and classify sensitive data, map data flows, and assess DLP coverage.
Deploy classification, DLP policies, and insider risk monitoring across endpoints and collaboration.
Outputs
Tangible deliverables handed over during and after engagement — built for your teams to own and sustain.
Inventory of sensitive data locations, classifications, and flow mappings.
Classification schema, DLP rules, and exception handling procedures.
Risk indicators, monitoring scope, and escalation criteria for insider threats.
Vendor-Agnostic
Representative platforms we integrate — selected based on outcome fit, not vendor preference.
A structured delivery lifecycle that aligns leadership and operations, then delivers and sustains measurable outcomes.
Align on the problem, constraints, and priorities before delivery begins.
Learn moreTranslate priorities into architecture, controls, and governance that can be built.
Learn moreImplement in safe waves, validate controls, and prove outcomes early.
Learn moreKeep controls healthy, reduce drift, and prove progress over time.
Learn moreGlossary
Data Loss Prevention controls on endpoints to detect and block unauthorized data movement.
View definitionTransforming data into ciphertext using keys so only authorized parties can read it, in transit or at rest.
View definitionRisk posed by authorized users through misuse, error, or compromise of legitimate access.
View definitionRelated
Align data handling with regulatory requirements through policy, retention, residency, and audit-ready governance.
ExploreTranslate regulatory requirements into control mapping, policy alignment, and audit-ready evidence with a repeatable compliance cadence.
ExploreApply classification, DLP, and insider risk controls across collaboration tools.