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@XSource-Sec

XSource-Sec


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 β–ˆβ–ˆβ•”β• β–ˆβ–ˆβ•—β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•‘β•šβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•β•šβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•”β•β–ˆβ–ˆβ•‘  β–ˆβ–ˆβ•‘β•šβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ•—
 β•šβ•β•  β•šβ•β•β•šβ•β•β•β•β•β•β• β•šβ•β•β•β•β•β•  β•šβ•β•β•β•β•β• β•šβ•β•  β•šβ•β• β•šβ•β•β•β•β•β•β•šβ•β•β•β•β•β•β•
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AI Security Research & Tools

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We specialize in offensive security research for AI systems. Our focus: finding vulnerabilities in LLMs, AI agents, and RAG architectures before attackers do.


What We Do

πŸ”΄  AI Red Teaming            Adversarial testing of production AI systems
πŸ›‘οΈ  LLM Security Assessment   Prompt injection, jailbreaks, guardrail testing
πŸ€–  Agent Vulnerability       Tool abuse, MCP attacks, agentic exploitation
πŸ“Š  RAG Security Research     Data exfiltration, context poisoning vectors

Featured Projects

Project Description
llm-security-payloads 200+ curated LLM attack payloads
agentaudit-cli Command-line AI security scanner (coming soon)

Connect

🌐  xsourcesec.com
πŸš€  app.xsourcesec.com
πŸ“§  security@xsourcesec.com

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AgentAudit β€” Automated AI Security Testing

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