DELTA.Secure.Gate
Fact Oriented Bastion & Semantic Firewall
The Integrity Shield and AI Firewall
DELTA.Secure.Gate is a dual core security supporting layer designed to validate, sanitize, and interpret inbound data before it interacts with the AILOJZ pipeline (specifically shielding ANIXAI). It acts as a cognitive firewall, detecting not just malicious code, but malicious intent.
Whether deployed as an integrated module or a standalone tool, it neutralizes prompt injection attempts, scrubs psychological manipulation patterns, and performs deep structure analysis. With live definition updates similar to antivirus software it ensures your AI interacts only with context aware, verified facts.
The module ensures meaning based and content aware integrity of inputs across diverse typical data types and category, from enterprise workflows to entertainment systems, preventing LLM misdirection while preserving context appropriate behavior where output data could be prepared in few scenarios depending on requirements. It is used with custom sensitivity acting not only as first line of defense but also in further data processing and is a one of three content validation layer It also sanitizes inputs from other modules before they reach the main AILOJZ orchestrator, providing rotection and even semantic firewalling against adversarial prompts. This is also available as indepedent tool that can be used not onluy with AILOJZ but also with many indepewdnet tools or LLMs. It acts also as fact checker over selected topic letting trigger preconfigured functions when inconcisyerncy is detected.
Active Protection
Operational Architecture
Data Sanitization & Semantic Verification Flow
- Unicode Sanitization
- Token Optimization
- Payload Decryption
- Injection Detection
- Fact Consistency
- Live Definition Scan
Key Capabilities
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Context Aware Firewalling
Detects context-spoofing and psychological manipulation (jailbreaks) that traditional filters miss, protecting AI (e.g. LLM) alignment.
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Live Threat Definitions
Updates security protocols dynamically (like antivirus signatures) to block evolving adversarial prompts and visual attacks on GaletVISION.
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Automated Fact Checking
Scans input against specific knowledge bases. Triggers preconfigured functions or alerts if factual inconsistencies are detected.
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Deep Input Sanitization
Scrubs non-standard Unicode, hidden zero-width characters, and optimizing text density for efficient processing.
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Structure & Anomaly Analysis
Builds semantic relationship maps of inbound content to identify hidden payloads or structural anomalies in large datasets.
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Universal Compatibility
Operates as a standalone tool for independent developers, securing inputs for third-party image/video generators and LLM-s.
Core Value
The vulnerability of generative models to adversarial attacks, "hallucinations" triggered by dirty data, and injection exploits.
Safe deployment of AI in sensitive environments (Enterprise/Gov) and clean, structured data input for creative tools.