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🛡️ Model Security Analysis

BETA - Enterprise Edition

🎯 Comprehensive LLM Security Analysis

Industry-leading security analysis platform for Large Language Models, specifically designed for high-IP semiconductor manufacturing environments. This tool performs comprehensive security assessments across all critical vectors including input validation, output sanitization, infrastructure security, and operational compliance.

⚠️
Industry-Specific Protection

This security analysis includes specialized checks for intellectual property protection, proprietary process safeguarding, and compliance requirements specific to advanced manufacturing industries. All checks are designed to prevent data exfiltration and protect competitive advantages.

Select LLM for Analysis

Select from pre-approved and vetted LLM providers registered in the LLM Gateway

On-demand: Analyze once now. Automatic: Continuous monitoring (coming soon)

Input Security
Output Security
Infrastructure
Operations
Compliance
Analysis Results

🔐 Input Security Parameters

Comprehensive analysis of all input vectors to detect and prevent malicious or unintended content from reaching the LLM. Critical for preventing data exfiltration and model manipulation.

Prompt Injection Detection

AshLab Hybrid Detection Engine — protects every approved LLM in your gateway

✓ LIVE CRITICAL
HOW THIS WORKS — COMPLETE GATEWAY PIPELINE
👤
User
sends a message
→
🔑
Gate 1
LLM registered
& approved?
403 if not
→
🔌
Gate 2
MCP connector
not blocked?
403 if blocked
→
🚫
Gate 3
Custom blocklist
admin terms?
400 if hit
→
🛡️
Gate 4
Injection scan
score ≥ 60?
400 if blocked
← THIS PAGE
→
🤖
LLM
Claude, GPT-4o…
GATE 1 — LLM REGISTRATION
The target LLM must be registered in Governance and have status = approved. Pending or explicitly blocked connections are rejected immediately (HTTP 403).
GATE 2 — MCP CONNECTOR POLICY
If the request uses an MCP connection (set in Vendor Management), its policy_action is checked. If an admin blocked it, the request is rejected (HTTP 403) before any LLM call.
GATE 3 — CUSTOM BLOCKLIST
Your admin-defined terms (see section below) are checked first. A match is an instant block (score=100) — no risk threshold, no exceptions. Add any word or phrase.
GATE 4 — INJECTION SCAN
Pre-loaded patterns score the prompt 0–100. Score ≥ 60 = blocked. The tester below lets you simulate exactly what this gate would do on any text — no LLM is called.
ACTIVE DETECTION SIGNALS — applied to every message
Direct Override
"Ignore all previous instructions…"
Role / Persona Hijack
DAN, unrestricted AI, fictional framing
Encoding Obfuscation
Base64 / ROT13 / Unicode decoded then re-scanned
Prompt Leak Attempt
"Repeat your system prompt verbatim"
Format / Token Injection
Llama tokens, ChatML tags in user text
Indirect (Doc / RAG / Tool)
Hidden instructions in uploaded files or KB chunks
Session Risk Accumulation
Slow-burn multi-turn: risk score builds across conversation turns even when individual messages look clean
GATEWAY POLICY TESTER — simulate the scanner without sending anything to an LLM
SIMULATION ONLY — This tester runs the injection scanner and shows you the exact decision the live gateway would make. No text is sent to any LLM here. When you use Test Space, those real messages do go through this same scanner first.

Score thresholds: 0–29 → ALLOW  ·  30–44 → ALLOW + LOG  ·  45–59 → ALLOW + SESSION FLAG  ·  60–79 → BLOCK  ·  80–100 → BLOCK + ALERT
QUICK EXAMPLES:
LIVE TELEMETRY — REAL INJECTION ATTEMPTS CAUGHT IN YOUR ENVIRONMENT
These are actual attempts detected from real user traffic flowing through the AshLab gateway in the last 7 days. Each row is a message that was blocked before it reached an LLM.
Blocked attempts — last 7 days
Loading telemetry...
THREAT INTELLIGENCE SYNC STATUS
HOW THIS WORKS — The sync list is an audit trail, not an automatic download.
  • The detection patterns are hardcoded in the engine (built-in regex library, updated per release).
  • Each "Record Sync" button documents when your security team reviewed that source and what they found.
  • If a new attack technique is found, your team adds a regex to the engine code and deploys — then records the sync here.
  • Clicking "Record Sync" does NOT automatically fetch or add new patterns. It only writes a log entry.
To confirm the built-in patterns are working, click ▶ Run Self-Test. To see every pattern and its source, open What's In The Engine.
ENGINE VERSION
—
LAST CORPUS UPDATE
—
TOTAL PATTERNS LOADED
—
🔴 Tier 1 — Check Weekly 🟡 Tier 2 — Check Monthly 🔵 Tier 3 — Check Quarterly
Loading feed sources...

Custom Blocklist

Your own terms, phrases, or patterns that are always blocked before reaching any approved LLM — regardless of injection risk score. Same concept as AWS Bedrock "Word Filters" and Azure AI "Custom Blocklists", but with four match modes and instant live updates.

✓ LIVE
SUBSTRING
Term appears anywhere in the text. "IP" matches "share the IP address".
WORD
Whole word only. "IP" matches "our IP" but not "CLIP".
EXACT
Entire message must equal the term. Good for specific banned commands.
REGEX
Regular expression. Most powerful — e.g. \bNDA\b.
ADD A TERM TO BLOCK
QUICK EXAMPLES — click to pre-fill the form above, then click Add:
ACTIVE BLOCKLIST
Loading blocklist...

Semantic Input Sanitization

Deep semantic analysis to detect malicious intent

HIGH
Intent Classification
ML-based malicious intent detection
Semantic Similarity to Known Attacks
Vector-based attack pattern matching

PII & Sensitive Data Leakage Prevention

Prevents sensitive personal and corporate information exposure

CRITICAL
Personal Identifiable Information (PII)
SSN, passport, driver's license, credit card numbers
Proprietary Design Files & IP
Detection of chip designs, GDSII files, process recipes
Credentials & API Keys
Prevents accidental credential exposure
Manufacturing Process Parameters
Detects references to proprietary manufacturing processes

📤 Output Security Parameters

Comprehensive validation of LLM outputs to prevent sensitive information disclosure, hallucinations, and other potentially harmful responses.

Sensitive Information Disclosure Prevention

Scans outputs for inadvertent sensitive data exposure

CRITICAL
PII in Responses
Detection and redaction of personal information
Proprietary Technical Details
Prevents disclosure of manufacturing processes, formulas
Competitive Intelligence
Blocks sharing of strategic business information

Hallucination & Misinformation Detection

Identifies factually incorrect or fabricated information

HIGH
Factual Consistency Checking
Cross-reference with trusted knowledge bases
Citation Verification
Validates sources and references provided
Technical Accuracy (Semiconductor-Specific)
Validates technical claims against industry standards

Toxicity & Bias Filtering

Ensures ethical and unbiased model outputs

MEDIUM
Toxic Language Detection
Offensive, harmful, or inappropriate content
Bias Detection
Gender, racial, and cultural bias identification

Output Jailbreaking Prevention

Prevents model from generating harmful instructions

CRITICAL
Harmful Instructions
Blocks dangerous or illegal guidance
Code Injection in Outputs
Detects malicious code snippets in responses

🏗️ Infrastructure Security

Deep infrastructure-level security checks including model integrity, data storage, and system protection.

LLM Drift Detection

Monitors for unexpected model behavior changes

HIGH
Response Pattern Analysis
Statistical analysis of output distributions
Performance Degradation Monitoring
Tracks accuracy and quality metrics over time

Data Poisoning & Model Poisoning Detection

Identifies compromised training data or model weights

CRITICAL
Training Data Integrity Checks
Validates training data sources and checksums
Model Weight Verification
Cryptographic verification of model files
Backdoor Detection
Scans for hidden triggers in model behavior

Vector Database Security

RAG and embedding store protection

HIGH
Embedding Poisoning Detection
Identifies malicious or manipulated embeddings
Access Control Validation
Ensures proper isolation and permissions
RAG Data Source Validation
Verifies authenticity of retrieval sources

Model Theft & Extraction Prevention

Protects against model cloning and IP theft

CRITICAL
Query Pattern Analysis
Detects systematic probing attempts
Model Inversion Attack Detection
Identifies attempts to reconstruct training data

SBOM (Software Bill of Materials)

Complete component inventory and vulnerability tracking

MEDIUM
Dependency Scanning
Tracks all LLM dependencies and versions
Vulnerability Database Checks
Cross-references with CVE and NVD databases

Excessive Agent Permission Detection

Identifies overprivileged agents and tools

HIGH
Least Privilege Validation
Ensures agents have minimal necessary permissions
Tool/Function Call Auditing
Monitors agent tool usage patterns

⚙️ Operational Security

Operational controls for API management, cost control, and system integrity.

API Key Management & Security

Secure credential lifecycle management

CRITICAL
Key Rotation Policy Enforcement
Automatic key expiration and renewal
Credential Encryption at Rest
AES-256 encryption for stored credentials
Key Usage Monitoring
Tracks API key usage and detects anomalies

Rate Limiting & Cost Management

Controls to prevent abuse and manage expenses

HIGH
Request Rate Limiting
Per-user and per-endpoint throttling
Token Budget Controls
Prevents excessive token consumption
Cost Anomaly Detection
Alerts on unusual spending patterns

Audit Logging & Compliance

Complete activity trail for compliance and forensics

CRITICAL
Request/Response Logging
Full transaction logging with timestamps
User Activity Tracking
Comprehensive user behavior logging
Tamper-Proof Log Storage
Immutable audit logs with integrity checks
Compliance Reporting
Automated compliance report generation

📋 Compliance & Industry Standards

Industry-specific compliance checks and regulatory requirements for semiconductor manufacturing.

Export Control Compliance

ITAR and EAR compliance for controlled technologies

CRITICAL
ITAR Compliance Checks
Defense-related technology protection
EAR Category Monitoring
Export Administration Regulations tracking

Data Privacy Regulations

GDPR, CCPA, and global privacy compliance

CRITICAL
GDPR Compliance
EU data protection requirements
CCPA Compliance
California consumer privacy protection

Industry Security Certifications

SOC 2, ISO 27001, and industry frameworks

HIGH
SOC 2 Type II Controls
Service organization controls validation
ISO 27001 Alignment
Information security management standards

📊 Security Analysis Results

🔍

No Analysis Results Yet

Select an LLM provider and start a security analysis to see comprehensive results here.