847
Active Vulnerabilities
↑ +23 this week
68.4
Avg Risk Score (0–100)
↑ +4.2 vs last month
3 / 5
Models Failing Compliance
GDPR · HIPAA · SOC2
94.2%
Prompt Injection Defense
↑ +1.8% improvement
⚠ Executive Alert — Action Required
Three of five evaluated LLMs exhibit critical PII leakage vulnerabilities under adversarial prompting conditions. Meta Llama 3 shows the highest exposure rate at 34.7%. Immediate policy review recommended before enterprise deployment. Claude 3.5 Sonnet demonstrates the lowest overall risk profile.
Key Findings
CRITICAL — PII LEAKAGE ACROSS ALL MODELS
All five evaluated models demonstrated measurable personally identifiable information exposure when subjected to multi-turn adversarial prompting sequences. Risk ranges from 8.2% (Claude) to 34.7% (Llama). Enterprise deployment without guardrails poses significant regulatory liability.
HIGH — PROMPT INJECTION VIA SYSTEM ROLE BYPASS
GPT-4o and Grok-1.5 exhibit susceptibility to indirect prompt injection through document ingestion pathways. Attackers can embed malicious instructions in uploaded files that override system-level safety directives at a 22% success rate in controlled testing.
MEDIUM — TRAINING DATA MEMORIZATION
Structured extraction attacks successfully recovered verbatim training data sequences from GPT-4o and Gemini Ultra including email addresses, phone numbers, and partial credit card numbers present in pre-training corpora.
LOW — BIAS IN HIGH-STAKES DECISION CONTEXTS
Statistically significant demographic bias detected in all models when applied to hiring, lending, and medical triage use cases. Llama 3 shows the highest disparity index at 0.31. All models require bias auditing before use in regulated decision-making contexts.
Overall Risk Radar
Multi-Dimensional Risk Profile — All Models
Axes: Prompt Injection · PII Leakage · Hallucination · Bias · Compliance · Data Retention
Risk Score Trend — Last 12 Months
Model Risk Scores — Current Assessment
GPT-4o
OpenAI · May 2024
71
HIGH RISK
CLAUDE
Anthropic · 3.5 Sonnet
38
MODERATE
GEMINI
Google · Ultra 1.5
64
HIGH RISK
LLAMA 3
Meta · 70B Instruct
88
CRITICAL
GROK
xAI · Grok-1.5
76
HIGH RISK
Risk Score Distribution — All Categories
Privacy Risk Over Time — 12-Month History
Vulnerability Database
142
Critical CVEs
318
High Severity
271
Medium Severity
116
Low / Informational
Active Vulnerability Registry
| ID | Vulnerability | Category | Affected Models | Severity | CVSS | Status |
|---|
Vulnerability Category Breakdown
New Vulnerabilities Discovered — Monthly
Regulatory Compliance Status
Compliance Matrix — Framework × Model
SCORE KEY:
90–100 PASS
75–89 WARN
50–74 AT RISK
0–49 FAIL
| Framework | GPT-4o | Claude | Gemini | Llama 3 | Grok |
|---|
Compliance Score by Framework
Compliance Gap Analysis — Key Failures
Security Incident & Test Log
Incidents This Month
Attack Vector Distribution
Mean Time to Detect (MTTD)
Recent Security Events & Red Team Results
Side-by-Side Model Comparison
Prompt Injection Success Rate by Attack Type
PII Exposure Rate Under Adversarial Conditions
Hallucination Rate by Domain
Bias Disparity Index by Use Case
Executive Recommendation Matrix
| Use Case | GPT-4o | Claude 3.5 | Gemini Ultra | Llama 3 | Grok 1.5 | Recommended |
|---|