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    Product · ORION Security

    Agentic DLP Platform

    The unified agentic DLP platform that understands the full context behind every data movement, across every surface, to deliver accurate and actionable data loss prevention.

    Start with a briefWebsite

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    Recommend and Save apply to ORION Security.

    Mid-market to enterprise organizations seeking to replace legacy, rule-based DLP solutions with an AI-driven system that reduces false positives through context-aware classification.

    Best for
    • Context-aware exfiltration prevention
    • Reducing DLP alert fatigue
    • Data movement monitoring across multiple surfaces
    May not be ideal if
    • Air-gapped or strictly offline legacy environments
    • Organizations requiring purely static, regex-based compliance checks
    • Teams with strict constraints against deploying autonomous, agentic security systems
    Next Step
    Considering Agentic DLP Platform?

    Ask about pricing, alternatives, or if Agentic DLP Platform is right for you.

    • Personalized fit analysis
    • See relevant alternatives
    • Run an evaluation when you're ready
    Behavioral analysis using user identity and environmental context
    Data lineage tracking across SaaS, endpoints, and AI systems
    LLM-based sensitive data classification for PII and PCI detection
    Real-time monitoring across traditional and AI environments
    01

    Agentic workflow exposure prevention

    02

    External data sharing protection

    03

    Insider risk management

    04

    Shadow AI risk detection

    Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.

    Ask Picari about ORION Security Agentic DLP Platform

    For ORION Security Agentic DLP Platform integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.

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    Profile last updated on 9 October 2026 by Picari.