Best IT Security Software for OpenCode

Find and compare the best IT Security software for OpenCode in 2026

Use the comparison tool below to compare the top IT Security software for OpenCode on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Fugu Cyber Reviews

    Fugu Cyber

    Sakana AI

    $6 per 1M tokens (input)
    Fugu Cyber is an advanced orchestration model designed specifically for contemporary cyber defense, operating as a unified entity through a single API endpoint while adeptly managing multiple specialized agents to tackle intricate security challenges. This innovative model does not rely on a single provider and is tailored for two main defense operations: assessing complex codebases to identify genuine vulnerabilities and converting raw cyber threat intelligence into actionable detection rules. Its performance on CyberGym, which tests vulnerability analysis and validation, resulted in an impressive success rate of 86.9%, whereas on CTI-REALM, which evaluates the generation of detection rules from threat intelligence reports, it achieved a score of 72.1%. These results position Fugu Cyber among the top-tier models focused on cybersecurity innovations. Rather than functioning as an isolated tool, Fugu Cyber is designed to serve as the cognitive engine within larger security infrastructures, enhancing overall defense capabilities against evolving cyber threats. This integration allows for a more holistic approach to cyber defense, enabling organizations to respond more effectively to potential attacks.
  • 2
    GitLab Reviews
    Top Pick

    GitLab

    GitLab

    $29 per user per month
    14 Ratings
    GitLab is a complete DevOps platform. GitLab gives you a complete CI/CD toolchain right out of the box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered in one application. It fundamentally changes the way Security, Development, and Ops teams collaborate. GitLab reduces development time and costs, reduces application vulnerabilities, and speeds up software delivery. It also increases developer productivity. Source code management allows for collaboration, sharing, and coordination across the entire software development team. To accelerate software delivery, track and merge branches, audit changes, and enable concurrent work. Code can be reviewed, discussed, shared knowledge, and identified defects among distributed teams through asynchronous review. Automate, track, and report code reviews.
  • 3
    Scalekit Reviews

    Scalekit

    Scalekit

    $99/month
    Scalekit is the MCP gateway for AI agents. Developers and platform teams use it when an agent must call business tools as the user, not through a shared service account. One endpoint reaches 500+ connectors and 20,000+ tools, including Salesforce, Gmail, Slack, Notion, HubSpot, Jira, and GitHub. When the agent requests a tool, Scalekit finds that user's credentials, checks that the agent is allowed to call it, runs the call, and returns a clean response. Tokens stay in an AES-256 vault, isolated per tenant, and out of application code, logs, and the model prompt. Venu Madhav Kattagoni, Head of Engineering at Von, describes it this way: "Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer." Scalekit works with Anthropic, OpenAI, LangChain, Google ADK, Vercel AI, and Mastra. Managed cloud runs in the US (Los Angeles) or the EU (Frankfurt). EU data residency on Growth is a $99 a month add-on. Enterprise can run in a VPC or self-hosted, including air-gapped. Scalekit is SOC 2 Type II and ISO 27001 certified. A HIPAA BAA is available on Enterprise. The Free plan is $0 a month and includes 10,000 tool calls and 10,000 trigger events. Growth is $99 a month for 100,000 tool calls, then $0.50 per 1,000 calls. Enterprise pricing is custom, and includes SSO and SCIM for the Scalekit dashboard
  • 4
    nono Reviews

    nono

    Always Further

    nono is a novel open-source sandbox that utilizes kernel enforcement to create a secure environment for AI coding agents and LLM tasks. In contrast to traditional policy-based guardrails that merely monitor and filter operations, nono leverages operating system security features—specifically Landlock on Linux and Seatbelt on macOS—to render unauthorized operations impossible at the syscall level. With just a single command, you can encapsulate any AI agent, including Claude Code, OpenCode, OpenClaw, or any command-line interface process. The system automatically enforces a default-deny policy for filesystem access, restricts harmful commands (such as rm, dd, chmod, and sudo), isolates sensitive credentials and API keys, and extends all imposed restrictions to any child processes, ensuring there's no avenue for escape once limitations are set. Built-in profiles allow for rapid deployment, and secrets can be injected from the system keystore in a secure manner, with automatic zeroization upon exit. Additionally, future enhancements such as audit logging, atomic rollbacks, and Sigstore-attested policy signing are planned, offering robust tracking and security features. It operates under the Apache 2.0 license and is developed by the same creator behind Sigstore, further emphasizing its credibility and reliability in securing AI workloads.
  • 5
    AI Usage Tracker Reviews

    AI Usage Tracker

    AI Usage Tracker

    $9.99 one-time purchase
    AI Usage Tracker is a macOS application designed for those who keep an eye on the activity of AI coding tools and local models while they work. It features a compact interface that can be positioned at the top, bottom, left, or right edge of the screen, presenting important information such as account limits, reset times, and the activity of various agents. Users are able to track their session and weekly usage statistics, receive notifications about resets, and easily switch back to a tracked session when an agent requires further input. This application supports a range of tools including Claude, Codex, Cursor, Gemini, OpenCode, Kimi, Ollama, and LM Studio, with available metrics differing based on the provider and account specifics. Additionally, for compatible local models, it can provide insights into context utilization and generation speeds, and allows the configuration of separate work and personal profiles for select services. To use this application, users must have macOS 15 or newer, and it is compatible with both Apple silicon and Intel-based Macs. Overall, AI Usage Tracker is an essential tool for anyone looking to optimize their interaction with AI coding technologies.
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