AI Security Hub - Open Research Platform
Professional AI Security Research

AI Security Hub Open Research Platform

Innovating for a Safer Digital Future. Comprehensive security research and vulnerability analysis for Large Language Models, Generative AI, Multi-Cloud Platforms, and Agentic Infrastructure.

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AI Security Research Visualization
23+
Vulnerabilities Documented
5+
Case Studies Published
4+
Research Articles
4+
Security Resources
Comprehensive Coverage

Explore AI Security Research

Navigate through our comprehensive collection of security research, attack matrices, and educational resources covering all aspects of AI security

Vulnerabilities
Critical security vulnerabilities in AI systems with detailed analysis and mitigation strategies
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Attack Vectors
Comprehensive attack techniques and vectors targeting AI and ML systems across different categories
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Case Studies
Real-world security incidents and breaches analyzed with lessons learned and prevention strategies
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Resources
Tools, guides, frameworks, and educational materials for AI security professionals and researchers
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Future AI Scenarios

Explore the Future of AI

Dive into futuristic scenarios and understand the security implications of tomorrow's AI systems

Agentic AI Takeover
Explore futuristic scenarios where autonomous AI agents evolve from assistants to autonomous decision-makers, reshaping industries and redefining human-AI collaboration. Understand the security implications of tomorrow's AI systems and prepare for the challenges ahead.
Future Scenarios2030+ TimelineEmerging Threats
Explore Future Scenarios
Agentic AI Pentesting
Comprehensive guide to AI-powered penetration testing methodologies for autonomous systems. Learn advanced techniques, real-world applications, and ethical considerations for testing agentic AI infrastructure with professional security frameworks.
PentestingMethodologyCase Studies
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AI Security Research Areas

Explore our comprehensive research on AI security vulnerabilities, attack vectors, and defense strategies across different domains

LLM security vulnerabilities
LLM Security Research
Comprehensive analysis of large language model vulnerabilities, attack vectors, and security best practices

Prompt Injection Attacks

Critical vulnerability analysis for LLM prompt manipulation

prompt injectionLLM jailbreaking

Model Inversion Attacks

Privacy attacks for extracting training data

model inversiondata extraction

LLM Jailbreaking Techniques

Methods to bypass AI safety constraints

LLM jailbreakingsafety bypass
Explore LLM Security Research
generative AI security threats
Generative AI Security
Security research for AI image generation, deepfakes, synthetic media, and content authenticity

Deepfake Generation Threats

Malicious deepfake creation and detection challenges

deepfake generationsynthetic identity

Voice Cloning Attacks

AI-powered voice synthesis security implications

voice cloningaudio deepfakes

Synthetic Identity Creation

AI-generated fake identities for fraud

synthetic identityidentity fraud
Explore Generative AI Security
autonomous AI security risks
Autonomous AI Security
Security challenges in AI agents, autonomous decision-making systems, and intelligent automation

Autonomous Exploitation

Self-directed AI systems performing unauthorized testing

autonomous exploitationAI red teaming

Tool Manipulation Attacks

AI agents manipulating external tools maliciously

tool manipulationAI agent security

AI Agents Attack Matrix

Comprehensive threat modeling framework

attack matrixthreat modeling
Explore Autonomous AI Security
multi-cloud security architecture
Multi-Cloud Security
Security architecture, threat modeling, and risk assessment for hybrid cloud environments

Server Impersonation Attacks

MCP protocol vulnerabilities enabling server impersonation

server impersonationMCP protocol

Context Poisoning Attacks

Malicious context injection in multi-cloud systems

context poisoningdata integrity

MCP Protocol Attack Matrix

Comprehensive MCP security threat analysis

MCP protocolattack matrix
Explore Multi-Cloud Security
Knowledge Base

Attack Matrices & Knowledge Base

Comprehensive attack frameworks and educational resources based on the latest security research

AI Agents Attack Matrix
Comprehensive attack framework covering 50+ techniques across 6 attack stages for autonomous AI systems
50+ Techniques6 Stages
View Matrix
MCP Protocol Attack Matrix
Security analysis framework for Model Context Protocol implementations and vulnerabilities
Protocol FocusNew Research
View Matrix
AI Security Glossary
Comprehensive dictionary of AI security terms, concepts, and technical definitions
27+ TermsSearchable
Browse Glossary
Latest Updates

Latest Security Research

Stay updated with cutting-edge AI security vulnerabilities and mitigation strategies

Critical
Prompt Injection in LLM Applications
New attack vectors discovered in production LLM systems allowing unauthorized data extraction through prompt injection
Dec 2024Read Analysis
Case Study
Multi-Cloud Data Breach Analysis
Comprehensive analysis of a major security incident across multiple cloud platforms
Nov 2024Read Study
Research
Agentic AI Security Framework
New security framework for autonomous AI systems and intelligent agent architectures
Dec 2024Read Framework
Future Research
Agentic AI Takeover Analysis
Futuristic exploration of autonomous AI takeover scenarios and their security implications for the next decade
Dec 2024Explore Future

Explore More Research Areas

OWASP Top 10 LLMSecurity RisksNIST AI RMFRisk ManagementGarak ScannerLLM TestingCAI FrameworkAI Governance

Build & Test AI Security Workflows

Partner Tool

FlowWise provides a visual interface to build and test LLM applications. Perfect for security researchers testing AI agent behaviors, prompt injection scenarios, and workflow vulnerabilities.

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Community Driven

Community-Driven Security Research

All research findings, vulnerability analyses, and security frameworks are shared freely to advance the AI security community. This platform serves as an open knowledge base for security professionals, researchers, and developers working with AI systems.

Research Standards

Peer ReviewedOpen SourceCommunity VerifiedIndustry StandardsReproducibleTransparent
About This Project

Open Knowledge Platform

Community-driven AI security research

4+
Research Papers
23+
Vulnerabilities
5+
Case Studies
4+
Security Resources
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Access comprehensive guides, research papers, and practical resources to understand and implement AI security best practices

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