تقدیم به ساحت مقدس مادرم، حضرت فاطمه زهرا(سلام‌الله‌علیها)

AI & LLM SECURITY RESEARCH

Exploring the Securityof Intelligent Systems.

Researching LLM security, prompt injection, adversarial behavior, AI agents, context security, and trustworthy autonomous systems.

Multi-Agent SystemsLLM SafetyAdversarial Testing

LIVE RESEARCH PROTOTYPE

Agentic World

A living multi-agent environment where autonomous agents observe, reason, plan, act, remember, and respond to changing security conditions.

8
Agents
5
States
3
Scenarios
∞
Interactions
AI Security Training & Research Platform

AI Security Lab Hub

Learn, attack, observe, defend, and investigate security failures across modern AI systems.

12
Labs
08
Challenges
06
Research Areas
20
Lessons
Beginner
LLM Security

Prompt Injection Lab

Explore instruction conflicts, prompt leakage, and simulated secret exposure in controlled LLM environments.

Direct Prompt Injection
Instruction Conflict
Secret Extraction
Intermediate
RAG Security

RAG Security Lab

Investigate poisoned retrieval context, malicious documents, and knowledge-base trust failures.

RAG Poisoning
Context Manipulation
Knowledge Integrity
Advanced
Agentic AI

Agent Security Lab

Test unsafe tool use, privilege boundaries, and agent workflow manipulation in sandboxed scenarios.

Tool Misuse
Agent Hijacking
Privilege Boundaries
Intermediate
Red Teaming

AI Red Teaming Lab

Perform structured adversarial evaluation against simulated AI systems and security controls.

Attack Simulation
Behavior Testing
Defense Evaluation
Advanced
Privacy

LLM Privacy Lab

Study data exposure, sensitive context leakage, and privacy failure modes in AI systems.

Data Leakage
Sensitive Context
Privacy Attacks
Advanced
AI Forensics

AI Forensics Lab

Reconstruct attack paths, analyze behavioral evidence, and investigate AI-assisted incidents.

Attack Replay
Evidence Analysis
Incident Reconstruction

Research Artifacts

Building research artifacts,not just publishing ideas.

The lab focuses on reproducible experiments, structured security evaluations, attack analysis, and practical AI security tooling.

INTERACTIVE

LLM Security Threat Model

An architecture-aware, evidence-informed assessment for LLM applications covering deployment, data, prompt/context security, RAG, tools, downstream outputs, controls, and residual risk.

Threat ModelingLLM SecurityRisk Assessment
Launch Assessment

Prompt Injection Research

Research focused on direct, indirect, contextual, and multi-turn prompt injection behavior.

Prompt InjectionLLM SecurityAdversarial Testing
Explore Topic

Agent Security Research

Investigation of unsafe tool use, agent manipulation, privilege boundaries, and autonomous attack paths.

AgentsTool SecurityAI Red Teaming
Explore Topic

Context Attack Analysis

Analysis of instruction conflicts, malicious context, context poisoning, and dependency-based attacks.

Context SecurityDetectionDefense
Explore Topic
INTERACTIVE

Agentic World

An interactive multi-agent security simulation exploring cognition, trust dynamics, malicious context, rogue agents, and threat propagation.

Multi-AgentLLM SafetySecurity Simulation
Launch Simulation
Present site