ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation
ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation explores ProvAgent revolutionizes threat detection by combining multi-agent systems with traditional models for autonomous investigation.. Commercial viability score: 8/10 in Cybersecurity.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisAn End-to-End Framework for Functionality-Embedded Provenance Graph Construction and Threat InterpretationViability: 3.0
- Builds On ThisAgentSentry: Mitigating Indirect Prompt Injection in LLM Agents via Temporal Causal Diagnostics and Context PurificationViability: 6.0
- Builds On ThisSecurity Considerations for Artificial Intelligence AgentsViability: 4.0
- Builds On ThisAVDA: Autonomous Vibe Detection Authoring for CybersecurityViability: 5.0
- Builds On ThisAttriGuard: Defeating Indirect Prompt Injection in LLM Agents via Causal Attribution of Tool Invocations