We implement AI governance frameworks, zero trust AI architecture, data loss prevention, and compliance automation so your AI deployments don't create the vulnerabilities they were meant to solve.
Every LLM you deploy is a new interface to your data, your systems, and your brand. Without governance, AI becomes a vector for data exfiltration, prompt injection, hallucination-driven decisions, and compliance violations that take months to surface.
AI cybersecurity isn't just about firewalls and endpoint protection anymore. It's about governing model behavior, protecting data in transit to LLMs, preventing PII leakage, and building audit trails that satisfy your compliance team before an incident occurs.
Most enterprises deploy AI first and figure out governance later. That's backwards. We implement AI risk frameworks, policy guardrails, and access controls before your models go into production — when it's still cheap to fix.
SOC 2 Type II, ISO 27001, GDPR, HIPAA, and emerging AI-specific regulations all have implications for how you deploy and govern AI systems. We translate those requirements into technical controls that actually pass audits.
AI security and governance from model layer to infrastructure — built for regulated industries and high-stakes deployments.
End-to-end AI governance policy design — model registration, risk tiering, access control, change management, and incident response. Aligned to NIST AI RMF, EU AI Act principles, and your existing security posture.
Every AI model, agent, and tool integration treated as untrusted by default. Identity-aware proxies, least-privilege API access, network segmentation for AI workloads, and continuous authorization for model-to-system calls.
Real-time inspection of data flowing to and from LLMs — detecting and blocking PII, PHI, trade secrets, source code, and credentials before they leave your security boundary. Includes the DataFence platform for enterprise deployments.
AI-specific control implementation for SOC 2 Type II and ISO 27001 audits — evidence collection automation, policy documentation, access review workflows, and continuous compliance monitoring for AI infrastructure.
DataFence is the first fully automated AI-based DLP platform providing universal, real-time file upload protection across any website.
Employees upload company documents to AI chatbots, cloud storage, and unauthorized SaaS every day — and traditional DLP tools miss it entirely. DataFence intercepts file uploads at the browser level across any website in real time, blocking sensitive data before it ever leaves the endpoint. Zero blind spots, millisecond analysis, no performance impact.
Browser-level interception of file uploads to any website — AI tools, cloud storage, social media, shadow SaaS — with full coverage regardless of upload method or file type.
Context-aware ML detects PII, PHI, financial data, and internal documents. Understands document intent, not just patterns — minimizing false positives without sacrificing coverage.
Automatically discovers cloud applications employees are actively using. Flags risky and unapproved services, identifies high-risk users uploading sensitive data, and enables domain blocking.
Block, warn, or allow uploads per domain, user group, and data classification level. Educational warning messages keep employees informed rather than just locked out.
Full filename tracking in transit, deep file scanning with entity detection, AI-powered document summarization, and DeepScan risk analysis with complete upload history.
SOC 2, HIPAA, and GDPR compliance reports out of the box. Executive dashboards with breach prevention ROI, key metrics, and full audit trails for every enforcement action.
From attestation preparation to continuous compliance monitoring — across the frameworks your customers and auditors care about.
Legacy DLP was built for email and network perimeters. It has no visibility into browser-based uploads — where most data loss actually happens today.
| Risk Area | Traditional DLP | DataFence |
|---|---|---|
| Files uploaded to AI chatbots | No visibility — missed entirely | Intercepted and scanned at the browser before upload |
| Shadow SaaS and cloud storage | Blind to unapproved apps employees discover themselves | Automatic shadow IT discovery with domain blocking |
| PII / PHI in uploaded documents | Pattern matching only — high false positive rate | Context-aware ML understanding document intent |
| Compliance evidence | Manual reporting, incomplete audit trails | SOC 2, HIPAA, GDPR reports with full upload history |
| End-user experience | Silent blocks with no explanation | Educational warning messages that inform rather than frustrate |
Tell us what you're deploying. We'll assess the risks and design the controls that let you move fast without creating liability.
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