ZAST.AI Helper is a developer assistance tool designed to facilitate operations and security personnel who utilize the ZAST.AI system. This Chrome extension allows developers to effortlessly submit test account session information, which is crucial for conducting security assessments and detecting potential vulnerabilities in systems that require user authentication. By integrating seamlessly with the ZAST.AI platform, the helper ensures that security checks are thorough and convenient, empowering developers to maintain robust security practices and protect their applications from potential threats.

Agentic-IAM leverages a large language model to transform natural language prompts into AWS identity and access management configurations. Users describe desired roles, permissions, and security requirements in plain English, and the agent crafts least-privilege IAM policies, builds CloudFormation templates, flags potential vulnerabilities, and optionally deploys changes via AWS APIs. Policy drafts can be reviewed, refined, and versioned automatically. Integration with AWS CLI and SDK ensures seamless end-to-end automation of IAM tasks, from initial design through application and audit.

Smart Contract LangChain Advisor integrates large language models via the LangChain framework to audit and improve Ethereum smart contracts. It performs static and semantic analysis on Solidity source code, identifying security issues like reentrancy, integer overflows, and access control flaws. The agent assesses gas consumption patterns and recommends optimizations to reduce transaction costs. It generates human-readable audit reports with prioritized findings and suggested code modifications. Developers can iteratively query the agent for explanations or deeper analysis of specific contract functions. By embedding into CI/CD pipelines, it continuously monitors code changes, ensuring high standards of security, performance, and compliance with best practices.

HoundDog.ai provides a proactive, lightweight, and ultra-fast static code scanning solution aimed at preventing PII (Personally Identifiable Information) leaks and ensuring privacy compliance at the code level. Leveraging AI, it continuously detects vulnerabilities that expose sensitive data in various mediums, such as logs, files, tokens, cookies, and third-party systems. In addition to identifying potential data breaches, HoundDog.ai delivers contextual remediation strategies, tracks and visualizes data flows, and automates the generation of Records of Processing Activities (RoPA) for GDPR compliance. It integrates seamlessly with developer workflows, CI/CD pipelines, and popular frameworks such as GitHub, GitLab, and Jenkins.