Find and compare the best Artificial Intelligence software for Express in 2026
Sort:
Use the comparison tool below to compare the top Artificial Intelligence software for Express on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
-
1
New Relic
New Relic
Free 2,916 RatingsAround 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability. -
2
Line0
Line0
$17 per monthLine0 serves as a development platform driven by artificial intelligence, specifically crafted for backend developers, to swiftly generate Express.js APIs via natural language queries. This innovative platform boasts two-way synchronization with GitHub, which allows for smooth integration with current repositories and promotes teamwork among developers. To boost productivity, it provides prompt enhancement features that guarantee user inputs are accurately converted into operational code. Currently in public beta, Line0 is set to broaden its features, incorporating functionalities such as live preview sandboxes, API client utilities, and automatic documentation creation, all aimed at simplifying the backend development workflow. Additionally, the platform's focus on user experience is evident in its commitment to continuous improvement and updates based on user feedback. -
3
DryRun Security
DryRun Security
DryRun Security is an AI Native SAST and Agentic Code Security engine built to improve application security without burying teams in alerts. Traditional SAST flags patterns. DryRun Security adds context. Our proprietary Contextual Security Analysis engine reasons about code intent, exploitability, and impact, so AppSec focuses on what matters. In pull requests, the Code Review Agent posts PR comments and checks within moments of a push, with guidance developers can act on immediately. It uses specialized analyzers for common vulnerability classes like XSS, SQL injection, SSRF, IDOR, mass assignment, and secrets. For guardrails that match your environment, teams write Natural Language Code Policies in plain English and the Custom Policy Agent enforces them on every PR. When you need a deeper read, DeepScan Agent produces a prioritized full-repo report in about an hour, surfacing complex logic, authentication and authorization flaws, secrets exposure, and business-risk vulnerabilities. Code Insights Agent helps teams see trends across repos and produce audit-ready reporting faster. DryRun Security is designed for GitHub and GitLab permissioned workflows. It protects security with private LLM capabilities, avoids sending code to public AI systems, processes with ephemeral services, and retains only findings and minimal metadata for reporting. -
4
AgentShield
AgentShield
AgentShield is an innovative identity platform designed to authenticate both human users and AI agents representing them. It allows organizations to verify an agent's identity, confirm the authorization from the individual behind the agent, and assess the agent's reliability, all through user-friendly APIs and JavaScript integrations. This platform also features capabilities for identifying agent interactions on websites and implements identity and permission validations for both agent-to-agent and agent-to-service communications, adhering to the open Model Context Protocol Identity (MCP-I) standards. Additionally, with the KYA feature, companies can effectively oversee agent identities and their permissions, establish audit trails, automate workflows, and apply precise access controls for autonomous systems. This comprehensive approach not only safeguards against the misuse of digital identities but also promotes clarity when AI systems operate on behalf of users, ultimately enhancing trust in digital interactions. As technology evolves, maintaining such robust security measures becomes increasingly crucial for organizations navigating the complexities of digital identity management.
- Previous
- You're on page 1
- Next