Best On-Premises Code Security Tools

Secure your code, cloud, and runtime in one central system. Aikido’s all-in-one security platform is loved by developers and security teams alike with full security visibility, insight in what matters most, and fast/automatic vulnerability fixes. Teams get security done with Aikido thanks to: - False-positive reduction - AI Autotriage & AI Autofix - Deep integration into the dev workflow (from IDEs and task managers to CI/CD gating) - AI Pentests - Automated Compliance Aikido covers the entire Software Development Lifecycle (SDLC), including: static application security testing (SAST), dynamic application security testing (DAST), infrastructure-as-code (IaC), container scanning, secrets detection, open source license scanning (SCA), cloud posture management (CSPM), runtime protection, AI pentests, and more.

Xygeni is an AI-native Application Security Posture Management (ASPM) platform organized around three pillars: ASPM, Supply Chain Security, and AI Security. ASPM gives you one risk view across your toolchain: it ingests findings from native scanners and third-party tools alike (Snyk, Veracode, Checkmarx), then applies AI triage, prioritization, and remediation to all of them equally. Supply Chain Security protects the pipeline itself: dependencies, CI/CD, GitHub Actions, build infrastructure, and secrets. Its MEW engine catches malicious packages before a signature exists. AI Security covers the newest attack surface: DevAI secures agentic coding tools inside the IDE, while CoreAI gives security leaders an AI copilot for organizational risk. Native coverage spans SAST, SCA, DAST, Secrets, IaC, Container, and CI/CD. SaaS, on-prem, or air-gapped.

The software development lifecycle has fundamentally changed. Developers across engineering organizations are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — at scale. The security controls built for traditional development were not designed for this environment. Backslash Security addresses this gap directly. The platform gives security teams visibility into AI coding tool usage, the code being generated, MCP server connections made by AI agents, and the risk introduced before it reaches production. Core capabilities: AI coding tool inventory and policy enforcement MCP server visibility and access control Vibe coding security — risk detection in AI-generated code Continuous monitoring without disrupting engineering workflows Purpose-built for AI-native development — not a legacy scanner repositioned for a new market. For security leaders governing an environment they didn't design, Backslash provides the visibility and control you need.

Codacy is a comprehensive platform for code quality and security that helps development teams build secure, maintainable, and compliant software. It integrates across the entire development lifecycle, from IDE to production, providing real-time feedback and automated checks. Codacy analyzes code repositories, enforces quality standards, and detects vulnerabilities before deployment. With AI Guardrails, it also protects against risks introduced by AI-generated code. The platform centralizes rules and policies, ensuring consistency across teams and projects. Developers benefit from automated pull request checks, test coverage tracking, and actionable insights. Overall, Codacy enables faster development without compromising security or code quality.

DryRun Security brings AI Native SAST and Agentic Code Security to your code, so application security and dev teams can stop triaging noise and start fixing real risk. Our Contextual Security Analysis (CSA) engine reasons about code intent, exploitability, and impact to deliver high-signal findings that pattern-matching scanners miss. Use the Code Review Agent for PR comments and checks within moments of a push. Enforce guardrails with Natural Language Code Policies, written in plain English and executed by the Custom Policy Agent on every PR. Run DeepScan Agent for an on-demand full-repo assessment in about an hour, and use Code Insights Agent to see trends and risk across repos.

Panto is an AI-powered code review agent designed to enhance code quality and security by integrating seamlessly with development workflows. Its proprietary AI operating system aligns code with business context from tools like Jira and Confluence, enabling efficient and context-aware code reviews. It supports over 30 programming languages and conducts more than 30,000 security checks, ensuring comprehensive analysis of codebases. Panto AI's "Wall of Defense" operates continuously to expose vulnerabilities and suggest fixes, preventing flawed code from reaching production. With features like zero code retention, CERT-IN compliance certification, and on-premise compatibility, it prioritizes data security and compliance. Developers benefit from high signal-to-noise ratio reviews, reducing cognitive overload and allowing focus on critical logic and design issues.