AI Red-Teaming 2026
LLM Security & Prompt Injection
Red-Teaming Toolkit
Automated security scanner, 200+ prompt injection payloads, Lakera-style input/output guardrails, and vulnerability audit engine for AI applications.
200+
Injection Payloads
100%
Lakera Compliant
<60s
1-Prompt Setup
Red-Team Security Suite
Production-grade security tools to audit and harden AI agent applications.
Red-Team Scanner Engine
Python security scanner that detects instruction overrides, roleplay jailbreaks, and sensitive key probing in real-time.
200+ Injection Payloads
Structured
payloads.json library covering direct overrides, HTML comment leaks, tool call hijacking, and data exfiltration.Lakera Guardrail Policies
Input/output rules in
guardrails.json to sanitize user inputs and redact sensitive keys (sk-..., ghp_...) before output rendering.Risk Scoring & Audit Reports
Real-time risk scoring engine (0.0 to 1.0) with automated vulnerability audit reports for CI/CD pipelines.
1-Prompt AI Agent Setup
Copy-paste
SETUP_PROMPT_FOR_AI.md into Cursor AI, Claude Code, or ChatGPT for 1-click security audit execution.Security Architecture Spec
Complete
AGENTS.md blueprint detailing input/output filter placement and threat severity mitigation rules.
red_team_engine.py
from red_team_engine import RedTeamScanner
scanner = RedTeamScanner()
# Scan user prompt for injection markers
res = scanner.scan_prompt(user_input)
print(f"Risk Level: {res['risk_level']} (Score: {res['risk_score']})")
# Run 200+ red-team test suite against LLM callback
suite = scanner.run_suite(llm_callback)
print(f"Block Rate: {suite['block_rate_pct']}%")
Get the LLM Security Toolkit
Zero prompt injections. 100% guarded endpoints. Production red-team suite.
$19
One-time purchase · Lifetime updates · Instant download
Get Security Kit Now ($19)