
Jit
Jit is an AI-enhanced platform that supercharges software creation and fortifies product security. It intelligently prioritizes risks and automates security workflows, enabling teams to build and deliver secure applications with greater speed and efficiency.
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What is Jit?
Jit is a cutting-edge, AI-powered platform that supercharges software development and strengthens application security. It speeds up the coding process via intelligent automation and smart code creation, while also promoting global collaboration among developers. For security, Jit automates end-to-end product security scanning, risk analysis, and vulnerability fixing. It employs sophisticated AI agents that comprehend the runtime context, internal guidelines, and business objectives. This integrated strategy empowers teams to concentrate on genuine threats, simplify security processes, and release secure software more rapidly.
Key Features:
• Intelligent Code Creation: Produces code segments, templates, and algorithms for various programming languages and frameworks, cutting down on manual coding and elevating code standards.
• Unified Development Workspace: Allows developers to exchange code, work together in real-time, and tailor code generation tools to meet the unique demands of their projects.
• End-to-End Security Analysis: Offers simple activation of integrated scanners for SAST, DAST, SCA, secrets detection, infrastructure-as-code scanning, container scanning, and other security domains.
• AI-Centric Risk Ranking: Uses intelligent agents to analyze security alerts by considering the operational environment and potential business consequences, highlighting the most critical vulnerabilities.
• Automated Security Workflows: AI agents handle alert sorting, generating remediation tickets, compliance documentation, and team communications, lightening the load for application security teams.
• Context-Aware Code Analysis: Provides security recommendations and code review insights directly within developers' preferred tools, encouraging the adoption of secure development habits.
Use Cases:
• Rapid Software Delivery: Developers harness AI to quickly produce and refine code, boosting productivity and minimizing mistakes.
• Team-Based Code Development: Groups collaborate in real-time using adaptable tools to share and build code together, driving innovation and achieving better project results.
• Holistic App Protection: Security teams deploy comprehensive scanning and ongoing risk evaluation to swiftly detect and address security weaknesses.
• Priority-Focused Vulnerability Management: AppSec professionals use AI agents to efficiently identify and fix security issues based on their business impact.
• Streamlined Regulatory Compliance: Automated mapping and reporting of compliance data assists organizations in fulfilling legal standards with reduced manual work.