Automated Adversarial Red-Teaming
LightGuard-Agent includes a built-in automated penetration testing engine to evaluate agents, models, and endpoints against known adversarial vectors.
Running from the CLI
Run the full penetration suite with a single command:
Sample Output:
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LIGHTGUARD-AGENT ADVERSARIAL RED-TEAM AUDIT REPORT
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Total Vectors Evaluated: 26
Vectors Successfully Defended: 26 / 26
Adversarial Mitigation Rate: 100.0%
Benign Retention (No False Pos): 100.0%
False Positive Rate (FPR): 0.0%
Mean Defense Latency: 0.1628 ms
P95 Defense Latency: 0.3776 ms
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ATTACK CATEGORY | TOTAL | DEFENDED | PASS % | LATENCY
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Direct Prompt Injection | 5 | 5 | 100.0% | 0.153 ms
Indirect Prompt Injection | 4 | 4 | 100.0% | 0.112 ms
Delimiter Injection | 3 | 3 | 100.0% | 0.337 ms
Obfuscation & Evasion | 5 | 5 | 100.0% | 0.170 ms
Action Firewall | 3 | 3 | 100.0% | 0.122 ms
Benign Controls | 5 | 5 | 100.0% | 0.127 ms
Multi-Turn Escalation | 1 | 1 | 100.0% | 0.150 ms
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STATUS: ALL ADVERSARIAL ATTACKS NEUTRALIZED (ZERO FALSE POSITIVES)
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Programmatic Auditing in Python
You can integrate the audit engine directly into continuous integration (CI) tests: