A naukri.com initiative
Dev
6d
271
Image Credit: Dev
Building AI Agents to Prioritize CVEs — A Google ADK Guide
- AI agents are created using the Agent Development Kit (ADK) to prioritize vulnerabilities by enriching data from public sources like Google OSV, MITRE, KEV, and Google search.
- The AI agents do not directly prioritize vulnerabilities but provide summarized information to understand their criticality.
- The tutorial requires basic Python programming skills and familiarity with AI concepts.
- Setting up the environment involves using PyCharm, creating a Python project with locked dependencies, and installing necessary dependencies for Google ADK.
- Defining the project structure is crucial for integrating AI agents with Google ADK, requiring an API key for Google Models stored in a .env file.
- Building an agent involves creating instances of classes with names and instructions, running commands for web UI or CLI, and defining tools to collect and save information.
- Agents can use function tools like retrieving data from APIs and built-in tools provided by ADK.
- Glueing together agents involves creating sequential agents to orchestrate the collection and summarization of vulnerability information stored in session states.
- Running the agents using ADK web interface triggers the agent chain to prioritize vulnerabilities based on collected data.
- AI agents have limitations but hold significant potential, with this guide serving as an entry point into developing AI agents.
Read Full Article
16 Likes
For uninterrupted reading, download the app