CloudShield AI
AI-Driven Defense Against Cloud Vulnerabilities
Multiple LLM agents that autonomously find, exploit, and remediate cloud security vulnerabilities — in real time.
Why It Matters
Cloud security is a critical challenge in today's digital landscape, with misconfigurations and cyber attacks causing billions in losses annually. Security engineers must manage thousands of access policies for countless users, groups, roles, and data stores, making the system prone to errors. Frequent changes, such as adding temporary contractors, complicate tracking and verification. AWS alone offers thousands of actions, providing numerous opportunities for attackers to exploit. New strategies emerge regularly, further exacerbating these vulnerabilities.
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Slow Detection
With data stored in the cloud, it takes an average of 277 days to identify and contain a breach.
IBM Report -
Increased Attacks
Attacks on open-source libraries, critical to cloud systems, have increased by 742% since ChatGPT's release.
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Phishing Attacks
Phishing emails, which can target cloud credentials, have increased by 1265% since ChatGPT launched.
CNBC Report
Our Vision
We aim to leverage AI and LLM agents to provide an autonomous, intelligent defense system capable of dynamically analyzing current permissions, identifying and exploiting potential vulnerabilities in real-time, and offering detailed remediation strategies to enhance cloud security policies and prevent potential attacks.
Technical Framework Overview
CloudShield AI runs on a multi-agent architecture that integrates Tasks, AI Agents, and Tools. Tasks define the steps for identifying data access paths, classifying documents, and simulating attacks. Specialized AI agents execute these tasks both sequentially and asynchronously, autonomously coordinating and invoking tools that interact with cloud APIs and external packages (e.g. for encryption). This architecture ensures validated actions, minimizing inaccuracies and “hallucinations.”
AI Agents Workflow
Our AI agents are given broad task descriptions in natural language. Each agent autonomously creates a sequence of steps, calling the appropriate tools in the correct order. If an exception is raised from the tools, the agent learns, recovers, and attempts the task again.
Watch our Demo.
Get in touch
Want to collaborate or learn more about CloudShield AI? Reach out and let's talk.