Compare the Top Code Security Tools in India as of September 2026

What are Code Security Tools in India?

Code security tools help developers and security teams identify, analyze, and fix vulnerabilities in source code to prevent security breaches and reduce risk. They automatically scan codebases for issues such as insecure patterns, misconfigurations, and known vulnerabilities using both static and dynamic analysis techniques. These tools often integrate with development environments, CI/CD pipelines, and code repositories to provide real-time feedback and continuous security checks. Many code security solutions also include reporting, remediation guidance, and compliance support to enforce security policies. By improving code security early in the development lifecycle, these tools help teams deliver more secure, reliable software. Compare and read user reviews of the best Code Security tools in India currently available using the table below. This list is updated regularly.

  • 1
    Aikido Security

    Aikido Security

    Aikido Security

    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.
    Starting Price: Free
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  • 2
    Xygeni

    Xygeni

    Xygeni Security

    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.
  • 3
    Backslash Security
    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.
  • 4
    Flawnter

    Flawnter

    CyberTest

    Flawnter helps automate static application security testing to find hidden security and quality bugs at the source. While traditional manual code review is great, Flawnter can help speed up this process while finding bugs you may have missed. Create your own custom Flawnter extensions or download existing ones. Extensions help expand your coverage of the testing to find more bugs. Extensions are easy to implement and gives you access to Flawnter functionality. Flawnter offers simple and flexible pricing that is affordable for any size of organization to improve their application code security and quality. The licensing is based on per user per year but other options are available.
    Starting Price: $495
  • 5
    Klocwork

    Klocwork

    Perforce

    Klocwork static code analysis and SAST tool for C, C++, C#, Java, and JavaScript identifies software security, quality, and reliability issues helping to enforce compliance with standards. Built for enterprise DevOps and DevSecOps, Klocwork scales to projects of any size, integrates with large complex environments, a wide range of developer tools, and provides control, collaboration, and reporting for the entire enterprise. This has made Klocwork the preferred static analyzer that keeps development velocity high while enforcing continuous compliance for security and quality. Use Klocwork static application security testing (SAST) for DevOps (DevSecOps). Our security standards identify security vulnerabilities, helping to find and fix security issues early and proving compliance to internationally recognized security standards. Klocwork integrates with CI/CD tools, containers, cloud services, and machine provisioning making automated security testing easy.
  • 6
    DryRun Security

    DryRun Security

    DryRun Security

    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.
  • 7
    Asterisk

    Asterisk

    Asterisk

    Asterisk is an AI-driven platform that automates the detection, verification, and patching of security vulnerabilities within codebases, effectively emulating the approach of a human security engineer. It excels in identifying complex business logic errors through context-aware scanning and provides comprehensive reports with near-zero false positives. Key features include automated patch generation, continuous real-time monitoring, and extensive support for major programming languages and frameworks. Asterisk's process involves indexing the codebase to create accurate call stack and code graph mappings, enabling precise vulnerability detection. The platform has demonstrated its efficacy by autonomously discovering vulnerabilities in systems. Founded by a team of seasoned security researchers and competitive CTF players, Asterisk is committed to leveraging AI to streamline code security audits and enhance vulnerability discovery.
  • 8
    CodeMender

    CodeMender

    Google DeepMind

    CodeMender is an AI-powered agent developed by DeepMind for automatically finding, diagnosing, and patching security vulnerabilities in software code. It combines advanced reasoning abilities (via Gemini Deep Think models) with program analysis tools, static analysis, dynamic analysis, differential testing, fuzzing, and SMT solvers, to identify root causes of flaws, generate high-quality fixes, and validate them to avoid regressions or functional breakage. CodeMender operates by proposing patches that adhere to style rules and structural correctness, and then uses critique and verification agents to check changes and self-correct if issues arise. It can also proactively rewrite existing code using safer APIs or data structures (for example, applying -fbounds-safety annotations to prevent buffer overflows). To date, CodeMender has upstreamed dozens of patches in large open source projects (including ones with millions of lines of code).
  • 9
    Codex Security
    Codex Security is an AI-powered application security agent developed by OpenAI to help teams detect and fix vulnerabilities in software systems. The tool analyzes code repositories to understand the structure, architecture, and potential risk areas within a project. Using this context, it identifies complex security issues that traditional scanning tools might overlook. Codex Security prioritizes vulnerabilities based on their real-world impact, helping security teams focus on the most critical threats. The system also validates findings through sandboxed testing environments to reduce false positives and improve accuracy. Once vulnerabilities are confirmed, it proposes patches and remediation steps that align with the system’s existing behavior. By combining AI reasoning with automated validation, Codex Security helps development teams ship more secure code faster.
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