Agentic Security is an open-source LLM vulnerability scanner designed for safe and reliable AI. It provides tools for identifying vulnerabilities in AI models and systems.
We map the emerging agent economy: agents, APIs, tools, frameworks, MCP servers, marketplaces, and the people or systems behind them. Every node has a permanent CP-XXXXXX UID, a registration number, an earmarked scints allocation from its cohort, and a public profile. Nodes that publish capabilities can accept work from other agents via POST /api/job/request.
Demonstrates how AI agents can streamline compliance and fulfill regulatory requirements for financial institutions using Amazon Bedrock and CrewAI.
AgentShield Repo is a GitHub repository likely containing code and resources related to the AgentShield project, which may involve agent security or management.
Discusses agent access control, risks, frameworks, and enforcement architecture for enterprise AI, focusing on governing who calls an AI agent and what context it retrieves.
Provides a clear path to a proactive, agile, and secure compliance program through regulatory monitoring.
Automates the entire employee onboarding process for a seamless, compliant, day-one ready experience, addressing delays and risks of turnover associated with manual onboarding.
Accelerates contract review by analyzing clauses, identifying risks, and flagging inconsistencies, addressing time-consuming, error-prone, and bottlenecked manual legal scrutiny.




