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What is Panto?

Panto is an innovative AI-enhanced code review solution designed to elevate both the security and quality of software by integrating fluidly into pre-existing development frameworks. Its distinctive AI operating system aligns code with pertinent business contexts derived from tools like Jira and Confluence, thus enabling effective, context-aware code evaluations. Capable of supporting over 30 programming languages, Panto conducts more than 30,000 security assessments to guarantee a comprehensive review of the codebase. The "Wall of Defense" feature operates consistently to detect vulnerabilities and propose solutions, preventing flawed code from reaching production stages. Furthermore, Panto's dedication to zero code retention, adherence to CERT-IN regulations, and on-premises deployment options underline its emphasis on data security and compliance with industry standards. Developers benefit from reviews characterized by a high signal-to-noise ratio, which helps reduce cognitive strain and allows them to focus on critical logic and design elements. This commitment to clarity and efficiency not only streamlines the code review process but also empowers teams to achieve substantial improvements in their overall development workflows. Ultimately, Panto serves as a vital tool for developers seeking to optimize their coding practices while maintaining robust security measures.

What is DryRun Security?

DryRun Security helps AppSec and Product Security leaders keep up with modern code change volume using AI Native SAST and Agentic Code Security. It is built for application security and developer teams that need higher-signal findings, consistent guardrails, and faster evidence for audits, without slowing development. DryRun Security is powered by its Contextual Security Analysis engine, which understands code and intent to reduce false positives and surface risks that pattern-based scanning often misses. How teams use DryRun Security: Code Review Agent: PR-native security feedback within moments of a push, delivered as comments and checks. Custom Policy Agent: enforce Natural Language Code Policies, written in plain English, on every pull request. DeepScan Agent: on-demand full-repository security assessments in about an hour, with a prioritized report engineers can fix fast. Code Insights Agent: visibility into trends, posture, and reporting across repos. DryRun Security works with GitHub and GitLab permission models. It protects security with private LLM capabilities, avoids sending code to public AI systems, and processes data with ephemeral services, while retaining only findings and minimal metadata for reporting.

Media

Media

Integrations Supported

GitHub
GitLab
Azure DevOps
Bitbucket
Confluence
Jira

Integrations Supported

GitHub
GitLab
Claude Code
Claude Desktop
Codex CLI
Cursor
Express
Go
JavaScript
Next.js
Node.js
OpenAI Codex
Python
Ruby on Rails
Slack

API Availability

Has API

API Availability

Has API

Pricing Information

$12 per month

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Panto

Date Founded

2024

Company Location

United States

Company Website

www.getpanto.ai/

Company Facts

Organization Name

DryRun Security

Date Founded

2023

Company Location

United States

Company Website

www.dryrun.security/

Categories and Features

AI Code Review

Not specified

Code Quality

Not specified

Code Review

Not specified

Code Security

Not specified

Categories and Features

AI Code Review

Not specified

AI Coding Assistants

Not specified

AI Security

Not specified

Code Security

Not specified

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