Alternatives to Warestack

Compare Warestack alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Warestack in 2026. Compare features, ratings, user reviews, pricing, and more from Warestack competitors and alternatives in order to make an informed decision for your business.

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    Overseer AI

    Overseer AI

    Overseer AI

    Overseer AI is a platform designed to ensure AI-generated content is safe, accurate, and aligned with user-defined policies. It offers compliance enforcement by automating adherence to regulatory standards through custom policy rules, real-time content moderation to block harmful, toxic, or biased outputs from AI, debugging AI outputs by testing and monitoring responses against custom safety policies, policy-driven AI governance by applying centralized safety rules across all AI interactions, and trust-building for AI by guaranteeing safe, accurate, and brand-compliant outputs. The platform caters to various industries, including healthcare, finance, legal technology, customer support, education technology, and ecommerce & retail, providing tailored solutions to ensure AI responses align with industry-specific regulations and standards. Developers can access comprehensive guides and API references to integrate Overseer AI into their applications.
    Starting Price: $99 per month
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    Enkrypt AI

    Enkrypt AI

    Enkrypt AI

    Enkrypt AI is an enterprise AI security, compliance, and governance platform purpose-built to secure LLMs, AI agents, multimodal systems, and MCP workflows. Serving enterprises in finance, healthcare, insurance, and government, Enkrypt AI helps organizations ship fast, ship safe, and stay ahead. The platform covers the full AI security lifecycle: Guardrails: Ultra-low latency (sub-50ms) policy-based guardrails prevent prompt injection, sensitive data exposure, unsafe outputs, and non-compliant agent behavior in real time. Red Teaming: Policy-driven, multimodal attack simulation across LLMs and AI agents before deployment. MCP Security: MCP Scan Hub and Secure MCP Gateway protect MCP servers, tools, and agent toolchains end-to-end. Compliance: Continuous monitoring against NIST AI RMF, OWASP LLM Top 10, EU AI Act, HIPAA, and FINRA. ISO 27001 & SOC 2 Type II certified. Gartner Cool Vendor 2025.
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    Cisco AI Defense
    Cisco AI Defense is a comprehensive security solution designed to enable enterprises to safely develop, deploy, and utilize AI applications. It addresses critical security challenges such as shadow AI—unauthorized use of third-party generative AI apps—and application security by providing full visibility into AI assets and enforcing controls to prevent data leakage and mitigate threats. Key components include AI Access, which offers control over third-party AI applications; AI Model and Application Validation, which conducts automated vulnerability assessments; AI Runtime Protection, which implements real-time guardrails against adversarial attacks; and AI Cloud Visibility, which inventories AI models and data sources across distributed environments. Leveraging Cisco's network-layer visibility and continuous threat intelligence updates, AI Defense ensures robust protection against evolving AI-related risks.
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    Codacy

    Codacy

    Codacy

    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.
    Starting Price: $21/user/month
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    WitnessAI

    WitnessAI

    WitnessAI

    WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or security. Monitor and audit AI activity and risk with full visibility into applications and usage. Enforce consistent, acceptable use policy on data, topics, and usage. Secure your chatbots, data, and employee activity from misuse and attacks. WitnessAI is building a team of experts, engineers, and problem solvers from around the world. Our goal is to create an industry-leading AI security platform that unlocks AI’s potential while minimizing its risk. WitnessAI is a set of security microservices that can be deployed on-premise in your environment, in a cloud sandbox, or in your VPC, to ensure that your data and activity telemetry are separated from other customers. Unlike other AI governance solutions, WitnessAI provides regulatory segregation of your information.
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    Alice

    Alice

    Alice

    Alice (formerly ActiveFence) is a security, safety, and trust platform built to protect AI systems and online platforms in the GenAI era. Powered by the world’s largest adversarial intelligence dataset, Alice safeguards over 3 billion users across more than 120 languages. Its Rabbit Hole intelligence engine continuously analyzes billions of toxic and manipulative data samples to detect emerging threats in real time. The WonderSuite platform includes tools like WonderBuild for pre-launch stress testing, WonderFence for runtime guardrails, and WonderCheck for automated red-teaming. By defending against prompt injection, jailbreaks, governance gaps, and harmful AI behavior, Alice enables enterprises and foundation model labs to innovate with confidence.
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    Lanai

    Lanai

    Lanai

    Lanai is an AI empowerment platform designed to help enterprises navigate the complexities of AI adoption by providing visibility into AI interactions, safeguarding sensitive data, and accelerating successful AI initiatives. The platform offers features such as AI visibility to discover prompt interactions across applications and teams, risk monitoring to track compliance and identify potential exposures, and progress tracking to measure adoption against strategic targets. Additionally, Lanai provides policy intelligence and guardrails to proactively safeguard sensitive data and ensure compliance, as well as in-context protection and guidance to help users route queries appropriately while maintaining document integrity. To enhance AI interactions, the platform includes smart prompt coaching for real-time guidance, personalized insights into top use cases and applications, and manager and user reports to accelerate enterprise usage and return on investment.
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    Scorable

    Scorable

    Scorable

    Scorable is an AI evaluation and monitoring platform designed to help developers measure, control, and improve the behavior of applications built with large language models. It enables teams to create customized automated evaluators, sometimes referred to as AI “judges”, that assess how an AI system responds to users and whether its outputs meet defined quality standards such as accuracy, relevance, helpfulness, tone, and policy compliance. Developers can describe what they want to measure in plain language, and the platform generates a tailored evaluation stack that tests AI outputs against context-specific criteria rather than generic benchmarks. These evaluators can be embedded directly into application code, allowing AI systems such as chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents to be continuously monitored in production environments.
    Starting Price: $19 per month
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    Vireo Sentinel
    Vireo Sentinel is an AI visibility and governance platform. A lightweight browser extension monitors how your team uses ChatGPT, Claude, Perplexity, Gemini, and 40+ other AI platforms. When someone is about to share sensitive data, they see a real-time intervention with four options: cancel, redact, edit, or override with a business justification. Detection uses deterministic pattern matching across 100+ sensitive data types including personal information, financial data, credentials, and medical content. No AI is used for detection. Everything is processed in the browser - sensitive data never leaves the device. The admin dashboard shows usage patterns, risk trends, platform breakdowns, and activity heatmaps. One-click compliance reports map to EU AI Act, ISO 42001, and Australian Privacy Act requirements. Deploys in under 10 minutes via browser extension for Chrome, Firefox, and Edge.
    Starting Price: $55/month (5 Users)
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    NVIDIA NeMo Guardrails
    NVIDIA NeMo Guardrails is an open-source toolkit designed to enhance the safety, security, and compliance of large language model-based conversational applications. It enables developers to define, orchestrate, and enforce multiple AI guardrails, ensuring that generative AI interactions remain accurate, appropriate, and on-topic. The toolkit leverages Colang, a specialized language for designing flexible dialogue flows, and integrates seamlessly with popular AI development frameworks like LangChain and LlamaIndex. NeMo Guardrails offers features such as content safety, topic control, personal identifiable information detection, retrieval-augmented generation enforcement, and jailbreak prevention. Additionally, the recently introduced NeMo Guardrails microservice simplifies rail orchestration with API-based interaction and tools for enhanced guardrail management and maintenance.
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    Pangea

    Pangea

    Pangea

    Pangea is the first Security Platform as a Service (SPaaS) delivering comprehensive security functionality which app developers can leverage with a simple call to Pangea’s APIs. The platform offers foundational security services such as Authentication, Authorization, Audit Logging, Secrets Management, Entitlement and Licensing. Other security functions include PII Redaction, Embargo, as well as File, IP, URL and Domain intelligence. Just as you would use AWS for compute, Twilio for communications, or Stripe for payments - Pangea provides security functions directly into your apps. Pangea unifies security for developers, delivering a single platform where API-first security services are streamlined and easy for any developer to deliver secure user experiences.
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    Akto

    Akto

    Akto

    Akto is an open source API security in CI/CD platform. Key features of Akto include: 1. API Discovery 2. API Security Testing 3. Sensitive Data Exposure 4. API Security Posture Management 5. Authentication and Authorization 6. API Security in DevSecOps Akto helps developers and security teams secure APIs in their CI/CD by continuously discovering and testing APIs for vulnerabilities. Akto's pricing is transparent on website. Free tier is available. You can deploy both self-hosted and in cloud. It takes only few mins to deploy and see results. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.
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    Fiddler AI

    Fiddler AI

    Fiddler AI

    Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue.
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    MintMCP

    MintMCP

    MintMCP

    MintMCP is an enterprise-grade Model Context Protocol (MCP) gateway and governance platform that provides centralized security, observability, authentication, and compliance controls for AI tools and agents connecting to internal data, systems, and services. It lets organizations deploy, monitor, and govern MCP infrastructure at scale, giving real-time visibility into every MCP tool call, enforcing role-based access control and enterprise authentication, and maintaining complete audit trails that meet regulatory and compliance needs. Built as a proxy gateway, MintMCP consolidates connections from AI assistants like ChatGPT, Claude, Cursor, and others to MCP servers and tools, enabling unified monitoring, blocking of risky behavior, secure credential management, and fine-grained policy enforcement without requiring each tool to implement security individually.
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    ZenGuard AI

    ZenGuard AI

    ZenGuard AI

    ZenGuard AI is a security platform designed to protect AI-driven customer experience agents from potential threats, ensuring they operate safely and effectively. Developed by experts from leading tech companies like Google, Meta, and Amazon, ZenGuard provides low-latency security guardrails that mitigate risks associated with large language model-based AI agents. Safeguards AI agents against prompt injection attacks by detecting and neutralizing manipulation attempts, ensuring secure LLM operation. Identifies and manages sensitive information to prevent data leaks and ensure compliance with privacy regulations. Enforces content policies by restricting AI agents from discussing prohibited subjects, maintaining brand integrity and user safety. The platform also provides a user-friendly interface for policy configuration, enabling real-time updates to security settings.
    Starting Price: $20 per month
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    asqav

    asqav

    asqav

    asqav is an AI governance and security platform designed to make AI agents audit-ready by providing real-time monitoring, enforcement, and verifiable proof of every action taken by an agent. It introduces a lightweight SDK that allows developers to integrate governance directly into their agents in just a few lines of code, enabling continuous oversight across the full lifecycle of AI operations. It includes behavioral monitoring to detect issues such as drift, rate limits, and scope violations, along with advanced threat detection that identifies prompt injections, exposure of sensitive data, toxic outputs, and other risks. It enforces policy through configurable “policy gates,” which apply per-agent rules, preflight checks, and dynamic approvals before actions are executed, ensuring that agents operate within defined boundaries. asqav also provides automated incident response capabilities, including the ability to suspend, quarantine, or escalate risky agents.
    Starting Price: $39 per month
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    LangProtect

    LangProtect

    LangProtect

    LangProtect is an AI-native security and governance platform that protects LLM and Generative AI applications from prompt injection, jailbreaks, sensitive data leakage, and unsafe or non-compliant outputs. Built for production GenAI, it enforces real-time runtime controls at the AI execution layer by inspecting prompts, model responses, and tool/function calls as they happen. This allows teams to block high-risk behavior before it reaches end users, triggers downstream actions, or exposes confidential data. LangProtect integrates into existing LLM stacks via an API-first approach with minimal latency and supports cloud, hybrid, and on-prem deployments for enterprise security and data residency needs. It also secures modern architectures such as RAG pipelines and agentic workflows with policy-driven enforcement, continuous visibility, and audit-ready governance.
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    DueDel

    DueDel

    DueDel

    DueDel is an enterprise-grade intelligence platform that unifies AI risk assessment, AI guardrails, and data protection into one secure, compliant ecosystem. The AI Risk Assessment Tool converts complex data into decision-ready summaries, detects early risk signals, uncovers market trends, and delivers predictive insights for investors, executives, and compliance teams. The Data Protection Fabric ensures no sensitive data ever reaches AI models by applying encryption, tokenization, and redaction—maintaining full compliance with RBI, SEBI, DPDP, and internal policies. The AI Guardrail Gateway gives complete control over what AI sees and generates, blocking harmful prompts, preventing hallucinations, enforcing policy-based routing, and securing external LLM usage with audit-grade logs. Together, DueDel enables regulated enterprises to govern AI safely while making faster, smarter, and fully compliant financial decisions.
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    Amazon Bedrock Guardrails
    Amazon Bedrock Guardrails is a configurable safeguard system designed to enhance the safety and compliance of generative AI applications built on Amazon Bedrock. It enables developers to implement customized safety, privacy, and truthfulness controls across various foundation models, including those hosted within Amazon Bedrock, fine-tuned models, and self-hosted models. Guardrails provide a consistent approach to enforcing responsible AI policies by evaluating both user inputs and model responses based on defined policies. These policies include content filters for harmful text and image content, denial of specific topics, word filters for undesirable terms, sensitive information filters to redact personally identifiable information, and contextual grounding checks to detect and filter hallucinations in model responses.
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    cubic

    cubic

    cubic.dev

    cubic is an AI-powered code review platform that automatically analyzes pull requests in GitHub to help software teams catch bugs, enforce standards, and ship code faster by reducing manual review bottlenecks. It delivers context-aware feedback seconds after a PR is opened by examining the full repository history and patterns, surfacing inline comments that highlight bugs, anti-patterns, technical debt, and improvement suggestions that human reviewers might miss, and providing one-click fix options for simple issues. cubic can generate clear PR summaries that explain the intent and impact of changes, intelligently order complex diffs into easier-to-review chunks, and offer a context-aware chat interface that lets developers ask questions or explore the codebase directly within the platform. Teams can define custom review rules and integrate business context from issue trackers like Jira, Linear, or Asana so that code reviews validate acceptance criteria as well as technical quality.
    Starting Price: $24 per month
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    White Circle

    White Circle

    White Circle

    White Circle is a unified AI control platform designed to provide end-to-end visibility, safety, and performance optimization for AI systems by combining testing, protection, monitoring, and improvement into a single integrated layer. It acts as a centralized control system that sits between AI models and users, analyzing every input and output in real time to ensure compliance with safety, security, and quality standards. It includes automated stress-testing capabilities that simulate risky prompts and real-world attack scenarios, allowing teams to detect vulnerabilities such as hallucinations, prompt injections, data leaks, and policy violations before deployment. It also features a protection layer that enforces custom rules through low-latency guardrails, blocking, rewriting, or flagging unsafe outputs instantly while preventing misuse of tools, unauthorized actions, or exposure of sensitive information.
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    Infrabase

    Infrabase

    Infrabase

    Infrabase is an AI‑powered DevOps agent that continuously scans GitHub infrastructure-as-code (IaC) in context to detect and flag security vulnerabilities, cost anomalies, and policy violations before they reach production. It integrates with GitHub via an app, securely indexes repositories (without storing raw code), and uses LLMs such as Claude, Gemini, or OpenAI to generate natural-language review checklists. Developers can define custom guardrails using Markdown-based rules instead of complex policy languages. On each pull request, Infrabase provides blast-radius insights, severity scoring, and even merge-blocking triggers for critical issues. It highlights deviations from internal coding patterns and uncovers hidden costs or poorly configured resources.
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    Barndoor.ai

    Barndoor.ai

    Barndoor.ai

    Barndoor is a data and access management layer designed to secure how artificial intelligence systems interact with enterprise data and infrastructure. It acts as a centralized control plane that governs AI agents and applications, allowing organizations to define policies, enforce access rules automatically, and maintain full visibility over how AI tools operate across business systems. Instead of relying only on traditional identity-based permissions, Barndoor introduces context-aware governance, enabling administrators to control what actions an AI agent can perform based on factors such as the user operating the agent, the system being accessed, the type of data involved, and the specific task being attempted. It evaluates every AI request in real time and enforces policies before an action is executed, preventing unsafe or unauthorized operations from reaching internal systems or modifying sensitive information.
    Starting Price: $500 per month
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    CyCraft XecGuard
    XecGuard is CyCraft’s LLM Firewall for trustworthy, agentic AI, designed to protect enterprise AI systems from prompt injection, jailbreak, prompt extraction, data leakage, unsafe outputs, and agentic workflow risks. Built on CyCraft’s red teaming and blue teaming experience across government, finance, and high-tech manufacturing, XecGuard goes beyond model-level defenses by combining AI guardrails, cybersecurity controls, compliance protection, and risk response strategies for real-world enterprise AI adoption. It is positioned as a plug-and-play LoRA security module that can strengthen LLM defenses without requiring changes to the underlying model architecture, helping teams add protection quickly while preserving performance. XecGuard is built on proprietary security datasets and multi-stage fine-tuning techniques, enabling LLMs to better resist adversarial prompts, malicious manipulation, and attempts to extract protected instructions or sensitive information.
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    elsai Foundry
    elsai Foundry is a governance-first platform to design, deploy, and operate AI agents for regulated enterprise workflows. It embeds compliance guardrails, PHI/PII redaction, prompt management, and real-time ARMS observability into every workflow. Its architecture spans multi-agent orchestration, policy and approvals enforcement, human-in-the-loop controls, domain intelligence, and pre-built agents across healthcare, life sciences, insurance, procurement, and supply chain.
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    Constellation

    Constellation

    Constellation

    Constellation is a corporate governance platform designed to enforce organizational rules and decision-making constraints in real time. It ensures that every action taken by employees, teams, or AI systems is checked against institutional policies before execution. The platform helps organizations maintain compliance, reduce risk, and improve decision speed without sacrificing oversight. By embedding governance directly into workflows, Constellation eliminates delays caused by manual approvals and fragmented coordination. It provides a structured system where decisions are both fast and accountable.
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    Lunary

    Lunary

    Lunary

    Lunary is an AI developer platform designed to help AI teams manage, improve, and protect Large Language Model (LLM) chatbots. It offers features such as conversation and feedback tracking, analytics on costs and performance, debugging tools, and a prompt directory for versioning and team collaboration. Lunary supports integration with various LLMs and frameworks, including OpenAI and LangChain, and provides SDKs for Python and JavaScript. Guardrails to deflect malicious prompts and sensitive data leaks. Deploy in your VPC with Kubernetes or Docker. Allow your team to judge responses from your LLMs. Understand what languages your users are speaking. Experiment with prompts and LLM models. Search and filter anything in milliseconds. Receive notifications when agents are not performing as expected. Lunary's core platform is 100% open-source. Self-host or in the cloud, get started in minutes.
    Starting Price: $20 per month
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    Morph by Modelcode
    Morph is an AI-powered code modernization platform that automates repository migrations from one technology stack to another while keeping engineering teams in control. Users connect one or more GitHub repositories, define goals in plain language, and configure how the application installs, builds, runs, health-checks, and tests. Morph analyzes the codebase, documents its architecture, frameworks, dependencies, component relationships, patterns, and conventions, then generates a detailed Project Spec for review and explicit approval before producing code. Modernization is divided into logical milestones rather than one massive change, with each milestone delivered through a pull request that teams can inspect, comment on, and merge. Project Knowledge stores the migration scope, lifecycle configuration, milestones, wikis, design decisions, and enforceable rules, giving agents shared context that grows as work progresses.
    Starting Price: $0.01 per extra credit
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    Guardrails AI

    Guardrails AI

    Guardrails AI

    With our dashboard, you are able to go deeper into analytics that will enable you to verify all the necessary information related to entering requests into Guardrails AI. Unlock efficiency with our ready-to-use library of pre-built validators. Optimize your workflow with robust validation for diverse use cases. Empower your projects with a dynamic framework for creating, managing, and reusing custom validators. Where versatility meets ease, catering to a spectrum of innovative applications easily. By verifying and indicating where the error is, you can quickly generate a second output option. Ensures that outcomes are in line with expectations, precision, correctness, and reliability in interactions with LLMs.
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    LangWatch

    LangWatch

    LangWatch

    Guardrails are crucial in AI maintenance, LangWatch safeguards you and your business from exposing sensitive data, prompt injection and keeps your AI from going off the rails, avoiding unforeseen damage to your brand. Understanding the behaviour of both AI and users can be challenging for businesses with integrated AI. Ensure accurate and appropriate responses by constantly maintaining quality through oversight. LangWatch’s safety checks and guardrails prevent common AI issues including jailbreaking, exposing sensitive data, and off-topic conversations. Track conversion rates, output quality, user feedback and knowledge base gaps with real-time metrics — gain constant insights for continuous improvement. Powerful data evaluation allows you to evaluate new models and prompts, develop datasets for testing and run experimental simulations on tailored builds.
    Starting Price: €99 per month
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    Dynamiq

    Dynamiq

    Dynamiq

    Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle. Key features: 🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale 🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes 🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs 📈 Observability: Log all interactions, use large-scale LLM quality evaluations 🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention 📻 Fine-tuning: Fine-tune proprietary LLM models to make them your own
    Starting Price: $125/month
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    OpenBox

    OpenBox

    OpenBox

    OpenBox is an enterprise-grade AI governance platform designed to make AI systems transparent, auditable, and safe to deploy at scale by enforcing real-time oversight across every agent action and system interaction. It provides a unified governance layer that connects identity, policy, risk, and compliance into a single runtime system, eliminating the fragmentation typically found across multiple tools and enabling organizations to standardize control over AI behavior. It integrates directly into existing AI workflows through a lightweight SDK, requiring no architectural changes, and immediately delivers full visibility into how AI agents operate, make decisions, and interact with other systems. OpenBox monitors and evaluates every action before execution, applying policy enforcement and regulatory checks in real time to prevent non-compliant or risky behavior rather than reacting after errors occur.
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    Tenable One AI Exposure
    Tenable One AI Exposure is an agentless, enterprise-grade solution embedded within the Tenable One exposure management platform that provides visibility, context, and control over how teams use generative AI tools like ChatGPT Enterprise and Microsoft Copilot. It enables organizations to monitor user interactions with AI platforms, including who is using them, what data is involved, and how workflows are executed, while detecting and remediating risks such as misconfigurations, unsafe integrations, and exposure of sensitive information (like PII, PCI, or proprietary enterprise data). It also defends against prompt injections, jailbreak attempts, policy violations, and other advanced threats by enforcing security guardrails without disrupting operations. Supported across major AI platforms and deployed in minutes with no downtime, Tenable AI Exposure helps organizations govern AI usage as a core part of their cyber risk strategy.
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    DesignVerse

    DesignVerse

    DesignVerse

    DesignVerse is an AI-based development platform that creates the context layer for enterprise software production, defining how software is built and shipped across large organizations. It helps teams build complex enterprise software that cannot fail by connecting design systems, architecture patterns, engineering standards, code repositories, business documentation, workflows, and product logic into a shared system-level context. Instead of generating generic prototype code, DesignVerse transforms structured design systems into production-ready software that stays aligned with the organization’s existing rules, APIs, components, and governance. Teams can import the systems they already rely on, translate them through reusable engineering logic, and ship deployable UI and software that follows approved standards. It is built to reduce implementation drift, fragmented execution, repeated development effort, and design-to-production misalignment.
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    OpenWeave

    OpenWeave

    Seven Olives

    OpenWeave is execution governance for AI agents and autonomous systems — a server-enforced state machine that controls what AI agents can do and when. You define workflows as states, transitions, and who may trigger them; the backend enforces every transition with a hard 403, and critical states sit behind human approval gates that block bots until a human signs off. Monitoring tells you what agents did; OpenWeave prevents what they shouldn't do, before it happens. Agents discover allowed transitions from the API instead of hardcoding them, every bot has a verifiable identity, and every change is written to an immutable audit trail. Integrates over a REST API and a remote MCP server. Built for AI-agent developers, AgentOps/MLOps and platform teams.
    Starting Price: $29/month
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    Tumeryk

    Tumeryk

    Tumeryk

    Tumeryk Inc. specializes in advanced generative AI security solutions, offering tools like the AI trust score for real-time monitoring, risk management, and compliance. Our platform empowers organizations to secure AI systems, ensuring reliable, trustworthy, and policy-aligned deployments. The AI Trust Score quantifies the risk of using generative AI systems, enabling compliance with regulations like the EU AI Act, ISO 42001, and NIST RMF 600.1. This score evaluates and scores the trustworthiness of generated prompt responses, accounting for risks including bias, jailbreak propensity, off-topic responses, toxicity, Personally Identifiable Information (PII) data leakage, and hallucinations. It can be integrated into business processes to help determine whether content should be accepted, flagged, or blocked, thus allowing organizations to mitigate risks associated with AI-generated content.
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    LLM Guard

    LLM Guard

    LLM Guard

    By offering sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, LLM Guard ensures that your interactions with LLMs remain safe and secure. LLM Guard is designed for easy integration and deployment in production environments. While it's ready to use out-of-the-box, please be informed that we're constantly improving and updating the repository. Base functionality requires a limited number of libraries, as you explore more advanced features, necessary libraries will be automatically installed. We are committed to a transparent development process and highly appreciate any contributions. Whether you are helping us fix bugs, propose new features, improve our documentation, or spread the word, we would love to have you as part of our community.
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    OneTrust AI Governance
    OneTrust AI Governance is AI governance tool built to protect the ROI of AI by translating AI risk into enforceable controls, helping teams govern well and move fast. It aligns enterprise governance with technical reality so organizations can scale AI faster, reduce risk, and maintain trust as AI systems evolve in production. It helps teams catalog AI systems and assess risk by tracking models, datasets, agents, and vendors in a central inventory, assigning ownership and lifecycle status, and understanding component dependencies. It standardizes AI risk identification using global frameworks such as the EU AI Act, NIST, and ISO 42001, with automated workflows for risk tiering by use case, system, or component, plus mapped risk and control frameworks for ongoing compliance. OneTrust streamlines approvals, attestations, scoping, evidence collection, and audit-ready reporting through configurable intake and approval workflows.
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    Prisma AIRS

    Prisma AIRS

    Palo Alto Networks

    Prisma AIRS AI Runtime Security is a purpose-built solution designed to protect LLM-powered applications, agents, models, and data during live operation, delivering real-time visibility, assurance, and governance across the entire AI lifecycle. It monitors AI behavior continuously, enforcing safeguards that detect and block threats traditional security tools cannot see, such as prompt injection, malicious code, toxic outputs, data leakage, and unsafe or unauthorized actions. It enables organizations to discover all AI assets in use, including shadow AI, and understand how agents, apps, and models interact across environments. It continuously assesses risk by testing AI systems, controlling permissions, and tracking security posture in real time, while integrating controls that prevent manipulation and exposure during runtime interactions. With adaptive protection, it defends against evolving and zero-day threats, using real-time analysis of inputs, outputs, and execution.
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    nexos.ai

    nexos.ai

    nexos.ai

    nexos.ai is an all-in-one AI platform that helps drive secure organization wide AI adoption. Teach leaders set policies & guardrails and oversee AI usage. Business teams use any AI models they need. Our platform consists of two powerful products: AI Gateway and AI Workspace. AI Gateway integrates multiple LLMs seamlessly, while AI Workspace offers a secure, web-based environment for working with AI. Founded by the team behind Europe's fastest-growing businesses, nexos.ai has already secured an $8 million investment from industry leaders and angel investors, including Index Ventures.
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    Kodus

    Kodus

    Kodus

    Kodus is an open source AI-powered code review platform built around an intelligent agent named Kody that integrates directly with Git workflows such as GitHub, GitLab, Bitbucket, and Azure DevOps to help engineering teams automate and improve the quality of their code reviews. Kody analyzes every pull request with deep context-awareness, learning a team’s codebase, architecture, workflows, coding standards, and business rules so it can deliver precise feedback on quality, security, performance, and style rather than generic suggestions. Teams can define custom review rules in natural language or choose from a library of production-tested rules to enforce best practices and consistent standards, with the flexibility to select and run any AI model via their own API keys. Kodus turns unimplemented suggestions into tracked issues, helps monitor technical debt, and offers actionable insights without introducing noise, supporting over 30 programming languages.
    Starting Price: $10 per month
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    Openlayer

    Openlayer

    Openlayer

    Openlayer is the AI governance and observability platform that accelerates the evaluation and observability of agentic systems through 100+ automated tests and real-time guardrails that prevent prompt injections, PII leakage, bias, toxicity, and hallucinations, powering secure enterprise innovation. Designed to support both traditional ML and GenAI systems, Openlayer helps teams seamlessly handle everything from data-quality detection to automating comprehensive model evaluations, with full traceability across RAG, agents, and complex multi-step workflows. Trusted by Fortune 500 companies from early experimentation through production deployment and automated governance capabilities (NIST, EU AI Act, etc.)., Openlayer enables safe, reliable, and responsible AI operations.
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    AGAT Secure AI Platform
    AGAT Secure AI Platform is a security-first AI platform designed to provide enterprise-grade generative AI capabilities while ensuring full data protection and governance. It supports deployment either on-premises (including air-gapped environments) or in the cloud, enabling zero-data-exposure use cases and strong enterprise control. It comprises two main components: an AI Suite and an AI Firewall. The AI Suite offers a private-AI environment with modules including a knowledge assistant (answers from company data), data-analysis agent (natural-language analytics on spreadsheets and databases), smart search (meaning-based content discovery), AI code assistant (code completion, generation and error detection), and AI agents that can plan and execute tasks via file creation/modification and internet search. The AI Firewall acts as a real-time proxy for public AI services, enforcing risk-based policies, and more.
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    Eden AI

    Eden AI

    Eden AI

    Eden AI simplifies the use and deployment of AI technologies by providing a unique API connected to the best AI engines. Your time is precious: we take care of providing you with the AI engine best suited to your project and your data. No need to wait for weeks to change your AI engine. You can do it for free in a few seconds. We make sure to get you the cheapest provider while ensuring equal performance.
    Starting Price: $29/month/user
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    Tuning Engines

    Tuning Engines

    CerebrixOS

    Tuning Engines is a unified AI control and governance layer for teams building production intelligence across models, agents, tools, and fine-tuned systems. It brings together the full AI lifecycle in one governed platform: inference, model routing, fallback policies, fine-tuning jobs, datasets, evaluations, model imports and exports, custom models, agents, MCP servers, reusable skills, guardrails, AGT YAML policies, data capture, runtime traces, usage analytics, API keys, billing, team roles, and integrations. Developers get OpenAI-compatible APIs, Anthropic-compatible routes, CLI workflows, MCP access, coding-agent integrations, and resource catalogs for models, agents, tools, and skills. Teams can connect Claude Code, OpenCode, Aider, Cline, Roo, Continue.dev, Cursor, VS Code, Windsurf, and other AI workflows through a single governed platform.
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    LangDB

    LangDB

    LangDB

    LangDB offers a community-driven, open-access repository focused on natural language processing tasks and datasets for multiple languages. It serves as a central resource for tracking benchmarks, sharing tools, and supporting the development of multilingual AI models with an emphasis on openness and cross-linguistic representation.
    Starting Price: $49 per month
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    JetStream Security
    JetStream Security is a security-first AI governance platform designed to give enterprises full visibility, control, and accountability over their AI systems by turning them from opaque, fragmented tools into managed, traceable infrastructure. It acts as a centralized control plane that connects identity, runtime governance, observability, and financial oversight into a single system, allowing organizations to “see every AI action, tie actions to accountable owners, [and] keep workflows inside approved boundaries” while enforcing policy at runtime. It introduces agentic identity, binding human, agentic, and non-human identities to specific actions and access permissions, ensuring every invocation, tool call, or workflow can be traced and governed through least-privilege access principles. Through continuous runtime governance, JetStream compares live AI behavior against approved blueprints, using immutable logging and real-time observability to detect drift.
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    Dymium

    Dymium

    Dymium

    Dymium is the real-time data governance layer that ensures AI agents, applications, and analytics only access the precise information they’re permitted to see. Powered by its Ghost Layer architecture, Dymium evaluates every request as it happens, enforcing identity-, role-, and context-aware policies instantly. Sensitive data never needs to be copied, staged, or broadly exposed—access is governed directly at the source through GhostDB, GhostAPI, and GhostMCP. This enables teams to work at inference speed without creating compliance or security risk. Every interaction is logged and auditable in real time, supporting GDPR, HIPAA, and AI Act requirements by default. With Dymium, organizations unlock more data safely while eliminating over-permissioning, data duplication, and operational bottlenecks.
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    Golf

    Golf

    Golf

    GolfMCP is an open source framework designed to streamline the creation and deployment of production-ready Model Context Protocol (MCP) servers, enabling organizations to build secure, scalable AI-agent infrastructure without worrying about boilerplate. It allows developers to define tools, prompts, and resources as simple Python files, after which Golf handles routing, authentication, telemetry, and observability, so you focus on logic, not plumbing. The platform supports enterprise authentication (JWT, OAuth Server, API key), automatic telemetry, and a file-based structure that eliminates decorators or manual schema wiring. With built-in utilities for LLM interactions, error logging, OpenTelemetry integration, and deployment tools (such as a CLI with golf init, golf build dev, golf run), Golf provides a full stack for agent-native services. Included also is the Golf Firewall, an enterprise-grade security layer for MCP servers that enforces token validation.
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    WrangleAI

    WrangleAI

    WrangleAI

    WrangleAI is an enterprise-grade platform that gives organizations visibility, control, and governance over their AI usage and spending. It acts as a “control plane” for generative-AI tools (like GPT-4, Claude, Gemini, and more), providing real-time usage tracking across providers, cost intelligence, infrastructure monitoring, and spend caps so companies can avoid runaway budgets. WrangleAI offers AI observability, helping teams understand which models are being used, by whom, and for what purposes, plus routing intelligence that can redirect workloads to more cost-effective models while maintaining output quality. It also includes governance features such as role-based access control and compliance support (e.g., for SOC 2 / ISO 27001 standards), enabling finance, engineering, and leadership teams to coordinate, enforce policies, and get actionable recommendations for optimizing AI spending and usage.
    Starting Price: $25.15 per month