Precision Meets Intelligence: How GTB’s Hybrid Detection Model Delivers Data Security That Works
Executive Summary
Even today, with all the advanced technology, there’s still a need to protect sensitive data across the cloud, endpoint, SaaS, and hybrid environments. Most Data Loss Prevention (DLP) / Data Security vendors offer enterprises a choice between rigid rule-based systems or AI tools that try to understand context. Still, because AI often lacks clarity or common sense, it tends to misread the situation, leading to confusion and missed risks.
GTB Technologies® offers the best of both worlds. With a hybrid detection model that combines proprietary Exact Data Match (EDM), intelligent policy enforcement, and selectively applied AI classification, GTB delivers unparalleled accuracy, auditability, and operational efficiency—at scale.
The Problem: Detection Models Are Failing Enterprises
Most DLP solutions rely on pattern matching—like regex rules for credit cards or social security numbers. While easy to implement, giving the end user the check mark for DLP, this method generates noise. Nine-digit numbers that “look like” sensitive data often aren’t. Alerts spike. Teams tune them out.
On the other hand, AI-driven DLP platforms promise contextual understanding—but given the inaccuracies of AI may deliver non-deterministic, non-explainable results. They flag benign documents as sensitive and miss real threats hiding behind obfuscation or novel formatting. Worse, these systems are difficult to audit and harder to control.
In both cases, security teams are left guessing, compliance suffers, and risk increases.
GTB’s Hybrid Approach: Accuracy without Compromise
GTB Technologies® bridges the detection gap with a three-layer hybrid model:
- Proven Exact Data Match (EDM) algorithms
- Dynamic Policy Enforcement
- AI-Powered Augmentation (Optional)
Real-World Comparison
| Feature | GTB Technologies® | AI-Only DLP Vendors |
| Detection Type | EDM + Rules + Selective AI | LLMs / ML Classifiers |
| False Positive Rate | Near-zero | High (unless heavily tuned) |
| Compliance Readiness | Auditable, deterministic | Often opaque and hard to validate |
| Policy Management | Admin-defined + adaptive workflow | AI guesses or uses templates |
| SaaS & Endpoint Coverage | Full (email, USB, network, cloud) | Limited or SaaS-first |
| Explainability | ✅ Yes | ❌ No |
| Deployment Flexibility | On-prem, hybrid, or cloud-native | Mostly cloud/SaaS only |
Why It Matters for the Enterprise
- Audit-Ready Compliance: EDM backs alerts with evidence, helping teams understand the event.
- Operational Efficiency: No more drowning in false alerts. GTB offers a virtual 99% false positive rate.
- Deployment Control: Agent / Agent-less. Run it how you want—cloud, on-prem, hybrid. No forced agent lock-in.
Conclusion: Trust Is Earned—Not Assumed
Flashy AI or rules? It’s not about picking between rigid rules or flashy AI. The real answer lies in combining the precision of what we know works with the flexibility to adapt.
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