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    Enterprise Solutions

    Custom AI governance, tuned to your data and your policy.

    Configurable detection layers, custom entity rules, and policy controls aligned to your industry, your jurisdictions, and your internal governance structure.

    Mature security and compliance organizations need more than a generic detector. KorGuard Enterprise gives you a tunable detection pipeline, custom risk thresholds, and integration with the systems your security operations team already runs.

    Custom Entities

    Unlimited

    Define proprietary identifiers, internal codes, and sector-specific data classes.

    Integration

    SIEM-Ready

    Stream sanitized risk events to Splunk, Sentinel, Datadog, or your data lake.

    Deployment

    Managed

    Policy distribution, version control, and per-business-unit rule sets via admin console.

    The Enterprise AI Risk Surface

    Generative AI is your fastest-growing data egress channel — and the least instrumented.

    Industry telemetry · 2024–2026

    AI breach cost vs. baseline

    Average AI-related breach now costs roughly three times what a comparable incident did before generative tools entered the workforce.

    93%

    Shadow AI adoption

    Employees use generative AI tools their employers never sanctioned, never licensed, and cannot monitor through traditional DLP.

    48%

    Submit sensitive internal data

    Roughly half of knowledge workers paste source code, customer records, M&A material, or strategic documents into public LLMs.

    11k+

    AI surfaces per enterprise

    Browser extensions, embedded copilots, in-product assistants, and rogue tabs create thousands of input fields legacy DLP cannot see.

    0

    Visibility from network DLP

    TLS-terminated, browser-rendered AI surfaces are invisible to network-layer DLP. The intercept has to happen at the keystroke.

    1 prompt

    From breach to disclosure

    A single paste of regulated or proprietary data into the wrong tool can trigger contractual, regulatory, and reputational consequences.

    Capabilities

    Detection, scoring, and enforcement at the point of input.

    Custom Detection Rules

    Author detection logic for proprietary identifiers, internal project codes, supplier IDs, source code patterns, or sector-specific data classes.

    Risk Threshold Tuning

    Calibrate severity scoring per business unit, role, geography, or destination platform to match your risk posture.

    Escalation Logic

    Branch outcomes by severity, identity, and context: silent allow, soft warn, hard block, manual review, or guided redaction.

    Enterprise Logging

    Forward risk telemetry to your existing SIEM or data lake with sanitized payloads and full event lineage.

    Identity & SSO

    SAML and OIDC integration, group-based policy assignment, and just-in-time provisioning.

    Retention Controls

    Define exactly what is captured, what is sanitized, and how long it lives, aligned to your data-handling standards.

    The Shield

    99% accuracy across regulated and proprietary data classes — fully on-device.

    Run KorGuard's local detection layer with your own custom entity rules, severity tiers, and enforcement logic. The shield evaluates every prompt in-browser and forwards only sanitized telemetry to your SIEM.

    On-device inference, zero external model calls.
    No prompt content captured, stored, or logged.
    Sub-frame latency — invisible to the user.

    99%

    Detection Accuracy

    Across HIPAA, GLBA, PCI, GDPR, and your custom entity classes — tuned to your corpus during pilot.

    0

    Raw Content Egress

    Inference runs on the device. Only sanitized risk metadata leaves the browser, and only to destinations you authorize.

    <40ms

    Inline Decision

    Pre-submit verdicts integrated with your existing identity, policy, and SIEM stack.

    SOC 2

    Control Alignment

    Maps to common ISO 27001, SOC 2, NIST AI RMF, and EU AI Act control families out of the box.

    Workflow

    What happens between keystroke and submit.

    01 / Scope

    Discovery

    Map the AI surfaces, data classes, and regulatory regimes your program needs to govern.

    02 / Configure

    Policy build

    Define entity classes, severity tiers, enforcement actions, and audit destinations.

    03 / Pilot

    Controlled rollout

    Deploy to a target business unit, calibrate detection, and validate workflow impact.

    04 / Operate

    Steady state

    Centralized policy distribution, telemetry into your SIEM, and ongoing rule refinement.

    Outcomes

    What changes for your team.

    • Align AI input controls with your existing security and compliance architecture.
    • Govern proprietary data classes that off-the-shelf DLP cannot recognize.
    • Give compliance, legal, and security leadership a shared operational view of AI risk.
    • Reduce noise with thresholds tuned to actual workforce behavior, not generic defaults.
    • Operationalize governance evidence for internal audit, regulators, and customers.

    Why KorGuard

    Built differently from cloud DLP and prompt firewalls.

    Custom entities at policy speed

    Define proprietary identifiers, internal codes, source-code patterns, and sector-specific data classes without waiting on a vendor release.

    SIEM-native telemetry

    Sanitized risk events stream to Splunk, Sentinel, Datadog, or your data lake — full event lineage, zero raw payload.

    Local-first by design

    Unlike cloud prompt firewalls, KorGuard never proxies the prompt itself. The data never leaves the trust boundary it was created in.

    Build the governance layer your AI program needs.

    Talk to our team about a tailored deployment scoped to your industry and risk model.

    Schedule a Call