Alternatives to Swiftask

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

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    Gemini Enterprise Agent Platform
    Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. The platform provides access to over 200 leading AI models, including Google’s Gemini series and third-party options like Anthropic’s Claude. It enables teams to create intelligent agents using both low-code and code-first development environments. With features like Agent Runtime and Memory Bank, businesses can deploy long-running agents that retain context and perform complex workflows. The platform emphasizes security and governance through tools like Agent Identity, Agent Registry, and Agent Gateway. It also includes optimization tools such as simulation, evaluation, and observability to ensure consistent agent performance.
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  • 2
    Pipefy

    Pipefy

    Pipefy

    Pipefy is the AI-driven Business Orchestration and Automation Technologies (BOAT) platform that delivers enterprise results in days, not months. Designed as a secure orchestration layer, Pipefy bridges the gap between rigid legacy systems (ERPs/CRMs) and agile business needs. It allows IT teams to centralize disparate processes under a single control plane, eliminating Shadow IT through an Adaptive Governance framework. Key Capabilities: • Process Orchestration: Manage complex, non-linear workflows across departments without replacing core systems. • Enterprise iPaaS: Native connectors for the main systems of records to unify data silos. • Agentic AI: Deploy autonomous AI agents for document analysis and task execution using a BYOLLM (Bring Your Own LLM) engine. • Security: SOC2 Type II and ISO 27001 certified with granular RBAC. Empower your team to modernize operations and reduce the development backlog with Pipefy.
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  • 3
    Anaconda

    Anaconda

    Anaconda

    Anaconda is an AI-native development platform that helps teams move from experimentation to production with trusted open-source packages, governed environments, and production-grade orchestration. The platform provides a secure foundation for Python, data science, machine learning, and AI development across the full model lifecycle. Anaconda Core helps teams manage complex Python dependencies with validated packages, automated security scanning, and intelligent conflict resolution. The Anaconda Platform supports governed AI development so organizations can reduce broken environments, stalled deployments, and unmanaged open-source risk. Its trusted distribution is used by millions of users, developers, contributors, organizations, and Fortune 500 companies. Built for enterprise AI teams, Anaconda helps organizations accelerate open-source AI innovation while maintaining control, security, and governance.
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  • 4
    Dataiku

    Dataiku

    Dataiku

    Dataiku is an enterprise AI platform designed to help organizations move from fragmented AI efforts to fully scalable and governed AI success. It brings together people, data, and technology into a single system that enables collaboration between domain experts and technical teams. The platform allows users to build, deploy, and manage AI models, analytics workflows, and AI agents with greater efficiency. Dataiku emphasizes orchestration by connecting data sources, applications, and machine learning processes into unified pipelines. It also provides strong governance capabilities, helping organizations monitor performance, control costs, and reduce risks across AI initiatives. Businesses across industries use Dataiku to modernize analytics, automate workflows, and scale machine learning across teams. With proven results from global enterprises, the platform supports faster innovation and measurable ROI through AI-driven solutions.
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    Drata

    Drata

    Drata

    Drata is an agentic trust management platform that helps organizations automate compliance, manage internal and third-party risk, and continuously demonstrate their security posture. The platform combines Enterprise GRC, compliance automation, Trust Center capabilities, security questionnaire automation, third-party risk management, AI agent governance, and integrations within a centralized environment. Drata automates activities such as control mapping, evidence collection, continuous control monitoring, risk identification, and guided remediation to help organizations maintain audit readiness across multiple frameworks. Its AI capabilities can draft questionnaire responses from an organization's knowledge base, assess third-party vendors, collect vendor documentation, and automate follow-up activities. Organizations can also use Drata's Trust Center to securely share security information and documents with customers, prospects, and other stakeholders.
    Starting Price: $10,000/year
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    Onyx Security

    Onyx Security

    Onyx Security

    Onyx is a secure AI control plane for discovering, protecting, governing, optimizing, and measuring AI agents and models across the enterprise. It gives security, governance, and AI teams visibility into sanctioned and shadow AI across SaaS, cloud, endpoints, and code, including prompts, responses, and agent actions. AI Security helps strengthen posture, identify vulnerabilities, and enforce real-time safeguards against threats and misuse, while AI Governance supports security standards and regulatory requirements with opt-in coverage and policy controls defined in natural language. AI Orchestration reduces friction when setting up agents and MCPs and helps optimize for cost, accuracy, and latency. AI ROI measures adoption, sets goals, and tracks outcomes across departments. The Onyx Guardian Agent acts as a supervisory AI that continuously identifies risks and remediates issues across the platform, helping organizations manage large numbers of agents at scale.
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    Singulr

    Singulr

    Singulr

    Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security.
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    AICtrlNet

    AICtrlNet

    Bodaty LLC

    AICtrlNet enforces AI governance instead of only observing it. Unlike tools that score or monitor AI risk, it runs the work — orchestrating AI agents, humans (as first-class agents, not just approval gates), and enterprise systems under a unified governance model. Model-independent across OpenAI, Claude, Gemini, and local runtimes (Ollama, vLLM). A 6-phase Control Spectrum sets autonomy per workflow and agent. Ships 43 role-configured agent templates and 177+ workflow templates across 41 industry packs. Runs n8n, Zapier, and Make as nodes rather than replacing them. Supports HIPAA, GDPR, SOC2, and EU AI Act via design-time governance and audit-grade accountability. Open-core editions: Community (MIT, free, self-hostable) ships the core platform; Business adds ML-enhanced governance and risk scoring; Enterprise adds multi-tenancy and federation. Access via the HitLai visual no-code interface, REST API, or MCP.
    Starting Price: $599/month
  • 9
    Microsoft Azure Responsible AI
    Confidently scale the next generation of safe, responsible AI applications. Confidently scale AI across your organization with industry-leading technologies and best practices that help manage risk, improve accuracy, protect privacy, reinforce transparency, and simplify compliance. Empower cross-functional teams to build the next generation of AI applications safely, using built-in tools and templates that help integrate responsible AI in open source, machine learning operations, and generative AI workflows. Detect and mitigate harmful use with built-in responsible AI, enterprise-grade Azure security, and responsible AI tooling.  Monitor text and images to detect offensive or inappropriate content. Empower rapid machine-learning model deployment and seamless collaboration with the prompt flow, driving accelerated time to value. Develop generative AI applications and custom copilots in one platform.
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    IBM watsonx.governance
    While not all models are created equal, every model needs governance to drive responsible and ethical decision-making throughout the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization’s AI activities. It employs software automation to strengthen your ability to mitigate risks, manage regulatory requirements and address ethical concerns for both generative AI and machine learning (ML) models. Access automated and scalable governance, risk and compliance tools that cover operational risk, policy management, compliance, financial management, IT governance and internal or external audits. Proactively detect and mitigate model risks while translating AI regulations into enforceable policies for automatic enforcement.
    Starting Price: $1,050 per month
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    Swifter

    Swifter

    Swifter.io

    Swifter governs AI across the full software development lifecycle. Unlike code-only assistants that deliver ~10% productivity gains, Swifter's spec-driven agents cover the entire SDLC — from business requirements through design, code generation, testing, and delivery — achieving 25-30% gains. Built for enterprise: full traceability from requirement to delivered code, audit trails, compliance enforcement, and consistent output across hundreds of developers. Supports both greenfield and legacy modernization. Partnered with Tech Mahindra (1,100+ enterprise clients).
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    Unity AI Gateway
    Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps.
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    trail

    trail

    trail

    Trail ML is an AI governance copilot platform that helps organizations build trustworthy, compliant, and transparent AI systems by automating manual governance and documentation tasks. It centralizes AI registry, policy creation, risk management, automated documentation, development tracking, audit trails, and compliance workflows under one system, enabling teams to classify and manage all AI use cases, trace decisions from data and model to outcomes, and reduce the overhead of manual documentation and governance processes. It integrates governance frameworks and templates, supports creation of custom AI policies, and guides teams through identifying and mitigating risks, preparing for audits and standards like ISO 42001 and regulation such as the EU AI Act. Trail uses curated knowledge, risk libraries, and AI-powered automation to orchestrate governance tasks, translate regulatory requirements into actionable to-dos, and streamline collaboration between stakeholders.
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    Openlayer

    Openlayer

    Openlayer

    Openlayer is an enterprise AI governance platform that helps organizations discover, test, monitor, secure, and control AI systems from development through production. The platform brings AI evaluation, observability, governance, guardrails, compliance, gateway enforcement, and cost controls together in one place. Teams can evaluate LLMs, agents, RAG applications, and traditional ML systems using 175+ out-of-the-box evaluations across quality, safety, security, performance, cost, fairness, and compliance. In production, Openlayer provides end-to-end tracing and continuous monitoring of AI behavior, including prompts, responses, tool calls, agent workflows, latency, and cost. Real-time guardrails can detect and block issues such as prompt injection, jailbreak attempts, PII or PHI exposure, and other unsafe behavior before it reaches a model or end user. Openlayer Governance connects organizational AI policies to technical controls. Teams can maintain an AI inventory, assign own
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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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    CloudEagle.ai

    CloudEagle.ai

    CloudEagle.ai

    CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and Identity Governance platform that helps organizations discover, govern, and optimize every SaaS and AI application across the enterprise, including applications outside traditional SSO or IT visibility. CloudEagle enables teams to detect Shadow IT and Shadow AI, automate provisioning and deprovisioning beyond the IDP, manage security posture, track NHIs, govern AI application usage, run continuous access reviews, optimize licenses, and streamline renewals using real usage and benchmarking insights. With 500+ integrations and AI-driven contract and usage intelligence, CloudEagle centralizes application access, spend, contracts, renewals, and compliance visibility into a single governance platform.
    Starting Price: $2000/month
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    Darktrace / SECURE AI
    Darktrace / SECURE AI is an AI security solution that brings every AI interaction across an organization into a single view, helping teams understand intent, assess risk, protect sensitive data, and support policy alignment. It monitors prompts, sessions, and responses in real time across enterprise GenAI tools such as Microsoft Copilot and ChatGPT Enterprise, low-code environments including Microsoft Copilot Studio, high-code platforms such as Amazon Bedrock and SageMaker, SaaS applications, and SASE. Behavioral analytics distinguish normal, business-aligned activity from significant or risky deviations, detecting conversational prompt attacks, malicious chaining, and unsafe actions without relying only on historical attack patterns. Darktrace learns directly from the environment it protects, allowing it to identify novel and AI-related threats on first encounter.
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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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    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.
    Starting Price: Free
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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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    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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    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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    AgentShelf

    AgentShelf

    AgentShelf, Inc.

    AgentShelf Platform is a no-code environment for building, deploying, and governing focused AI agents for business workflows. Teams can give each agent approved context, tools, model access, permissions, and a dedicated workspace, then deploy experiences to websites, internal workspaces, products, or external applications. The platform includes reusable agent patterns, widgets, SDKs and APIs, usage and cost visibility, budget policies, activity traces, and public/private access boundaries. It supports use cases such as website visitor qualification, customer support triage, CRM follow-up, research, knowledge retrieval, and recurring reporting.
    Starting Price: $100/month
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    Prove AI

    Prove AI

    Prove AI

    Prove AI is an AI governance and management platform that centralizes AI models, datasets, and event logs into a tamper‑proof, blockchain‑backed data store, now built on Hedera and integrated with IBM’s watsonx.governance. It provides real‑time logging of AI lifecycle events, version control, multi‑party access permissions, automated compliance alignment (e.g., EU AI Act, ISO 42001, NIST), and detailed audit trails for troubleshooting, accountability, and regulator validation. Organizations gain unified oversight of AI operations via a centralized console controlling configurations, access, updates, and event monitoring, all with fully auditable, serialized records. It empowers enterprises to manage AI risk, ensure transparency, and confidently scale responsible AI initiatives.
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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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    Azure Machine Learning
    Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.
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    Klique

    Klique

    Klique

    Klique is an enterprise AI control plane that centralizes model routing, AI service governance, and compute orchestration across on-premises, cloud, and hybrid environments. The platform routes AI requests to appropriate models based on factors such as cost, latency, policy, and data sensitivity while also directing workloads to suitable infrastructure. It provides centralized controls for budgets, quotas, virtual keys, single sign-on, audit trails, and access policies across users, agents, models, projects, and tools. Klique can manage in-house models, open-source models, third-party APIs, GPU clusters, CPUs, Kubernetes environments, and cloud AI services through a unified layer. Its orchestration capabilities support shared compute pools, fractional GPU usage, priority scheduling, training jobs, data processing, and live model deployments.
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    Oasis HQ
    Oasis is a no-code workspace for building coordinated AI agent teams in seconds. Connect agents to the business tools you already use, give them shared context and memory, and set policies and approval checkpoints so people stay in control while agents handle recurring multi-step work across sales, support, and operations. Build custom agents or start from a prebuilt library, run them in multiplayer rooms with your team, schedule recurring work, and connect integrations. Frontier models (Claude, GPT, Gemini) plus open-source models, with pay-as-you-go usage and bring-your-own-API-key options. Role-based access, SSO/SAML, audit logs, and data residency controls for scaling teams. Free plan available; paid plans from $19/month.
    Starting Price: Free - paid from $19/month
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    Deeploy

    Deeploy

    Deeploy

    Deeploy helps you to stay in control of your ML models. Easily deploy your models on our responsible AI platform, without compromising on transparency, control, and compliance. Nowadays, transparency, explainability, and security of AI models is more important than ever. Having a safe and secure environment to deploy your models enables you to continuously monitor your model performance with confidence and responsibility. Over the years, we experienced the importance of human involvement with machine learning. Only when machine learning systems are explainable and accountable, experts and consumers can provide feedback to these systems, overrule decisions when necessary and grow their trust. That’s why we created Deeploy.
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    Enkrypt AI

    Enkrypt AI

    Anaconda

    Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.
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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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    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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    SurePath AI

    SurePath AI

    SurePath AI

    Ensure AI use adheres to corporate policy with our simple-to-implement AI governance control plane. Remove complexity, gain visibility, and securely increase AI adoption, with SurePath AI. Native integrations to your existing security solutions, private models, and enterprise data sources. SSO, SCIM, and SIEM are natively supported. Detect AI use at a network level. Control access and inspect requests for sensitive data leaks. Redact sensitive data found in requests to public models. In-line modification of requests enables productivity while mitigating risk. Redirect traffic to your private AI models. Leverage SurePath AI's private model access controls as your own internally branded enterprise AI portal. Policy-based controls enrich requests with only the enterprise data users are granted access to, giving meaningful responses based on relevant business context. Users' prompts are automatically enhanced to align output to enterprise objectives.
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    Doco

    Doco

    McCarren

    Doco is an AI-native writing assistant built directly into Microsoft Word, designed for professionals who create structured, document-heavy content. Key Features: Reference any file or folder from your desktop, OneDrive, or SharePoint—then use custom projects and workflows to generate high-quality text, tables, or slides effortlessly. Doco’s Smart Library and adaptive drafting engine surface the right context and insert results with formatting intact—no cleanup needed. Built for proposal writers, legal teams, educators, and policy analysts. Doco’s Enterprise-ready features include SOC 2 Type II compliance, SSO/SAML, and a dedicated SLA. With Doco, teams gain speed, consistency, and compliance—making everyday documents extraordinary.
    Starting Price: $12/month
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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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    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.
    Starting Price: Free
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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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    OwlVigil

    OwlVigil

    Syrovex

    OwlVigil is a cloud-based AI gateway and governance platform for developers, AI product teams, and organizations coordinating multiple model providers. It routes AI requests through a unified endpoint and lets teams connect providers, issue scoped gateway keys, manage access, and apply routing and policy rules. Administrators can set workspace, team, member, or key budgets; restrict models and providers; and monitor requests, tokens, usage, latency, and spending. Role-based permissions, audit logs, alerts, and request analytics help teams review AI activity across workspaces and departments. The gateway accepts OpenAI-compatible requests, allowing teams to connect existing applications through a shared interface. OwlVigil is offered as a hosted service with an individual free plan and paid team and business plans, plus custom enterprise plans.
    Starting Price: $19/month
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    ModelOp

    ModelOp

    ModelOp

    ModelOp is the leading AI governance software that helps enterprises safeguard all AI initiatives, including generative AI, Large Language Models (LLMs), in-house, third-party vendors, embedded systems, etc., without stifling innovation. Corporate boards and C‑suites are demanding the rapid adoption of generative AI but face financial, regulatory, security, privacy, ethical, and brand risks. Global, federal, state, and local-level governments are moving quickly to implement AI regulations and oversight, forcing enterprises to urgently prepare for and comply with rules designed to prevent AI from going wrong. Connect with AI Governance experts to stay informed about market trends, regulations, news, research, opinions, and insights to help you balance the risks and rewards of enterprise AI. ModelOp Center keeps organizations safe and gives peace of mind to all stakeholders. Streamline reporting, monitoring, and compliance adherence across the enterprise.
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    Holiday

    Holiday

    Holiday

    Holiday is an AI management platform for businesses connecting AI to company information. Business Chat lets staff ask questions across connected business records, subject to their permissions. Agentic Managers are persistent AI roles with defined responsibilities, credentials, authority, budgets and escalation paths. They can perform authorized work in connected systems and send decisions for human review. Holiday provides a dedicated, single-tenant environment hosted in a supported AWS region selected by each customer. Administrators choose AI models, set spending limits and review activity logs. It is designed for mid-size and larger organizations using governed AI chat and recurring workflow automation. Implementation and ongoing fees are agreed by proposal; AI usage is billed at the model provider's cost.
    Starting Price: $1,000 AUD/month
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    elsai

    elsai

    elsai

    elsai is a purpose-built agentic operations platform that gives regulated enterprises the infrastructure to run AI at production scale — not just in pilots. The platform combines three integrated layers: a domain intelligence layer trained to comprehend patient records, financial instruments, and regulatory documents; a multi-agent orchestration engine that sequences specialized agents across complex workflows; and ARMS, a full-observability governance framework that tracks every token, decision, and cost in real time. With 200+ pre-built enterprise integrations and a structured six-stage deployment path, elsai is production-ready for healthcare, BFSI, life sciences, and logistics — governed, auditable, and built on 16 years of enterprise delivery.
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    Kosmoy

    Kosmoy

    Kosmoy

    Kosmoy is an AI governance and management platform for enterprise AI in production. It connects four layers of control: inventory, monitoring, governance and action control. Register AI systems, models, agents and MCP servers with owners and risk assessments. Monitor usage, costs and behaviour across applications. Apply access controls, guardrails, routing and logging to LLM, MCP and agent-to-agent traffic through an AI Gateway. Use Action Capsule to isolate autonomous agent actions with runtime controls and a kill switch. Deploy in your own Kubernetes environment, in the cloud or on premises. Built for AI platform, security, risk and compliance teams that need shared operational evidence and control.
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    Adeptiv AI

    Adeptiv AI

    Adeptiv AI

    AI Governance platform automatically discovers AI inventory, automates compliance, manages AI risks, and continuously monitors model behaviour — ensuring every AI system you deploy remains trusted, safe, and audit-ready. Our AI-powered platform discovers AI systems, auto-maps 30+ global regulations, generates and manages AI-specific risks, evaluates model behaviour in real time, produces audit-ready compliance, and much more. The Adeptiv AI Governance Dashboard is a centralised intelligence layer designed for enterprise-grade oversight of AI systems. It consolidates all critical governance metrics into a single, real-time interface—including total AI use cases, compliance progress, pass/fail rates, evidence submission rates, and business-unit level adoption trends. Risk management is strengthened through detailed views of risk status, severity distribution, and resolution trends, enabling teams to quickly prioritize high-impact areas.
    Starting Price: $899
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    NewCore

    NewCore

    NewCore

    NewCore is a next-generation identity provider for humans and AI agents, built around one converged identity core that keeps every human and agentic identity visible, secured, and governed from access to audit. It treats employees, contractors, partners, machines, on-behalf-of actions, delegated agents, and autonomous workloads as first-class identities under one architecture. Identity Security protects the trust behind access with SSO, passkeys, phishing-resistant MFA, secure token signing, authenticator strength scoring, and security-aware policies. Secure Split Key distributes signing authority between NewCore’s cloud and the customer environment so neither side can sign a valid token alone. Identity Discovery maps humans, agents, accounts, applications, authenticators, sessions, and access paths into one live graph, revealing shadow accounts, orphaned credentials, and unmanaged agents.
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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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    Monitaur

    Monitaur

    Monitaur

    Creating responsible AI is a business problem, not just a tech problem. We solve for the whole problem by bringing teams together onto one platform to mitigate risk, leverage your full potential, and turn intention into action. Uniting every stage of your AI/ML journey with cloud-based governance applications. GovernML is the kickstarter you need to bring good AI/ML systems into the world. We bring user-friendly workflows that document the lifecycle of your AI journey on one platform. That’s good news for your risk mitigation and your bottom line. Monitaur provides cloud-based governance applications that track your AI/ML models from policy to proof. We are SOC 2 Type II-certified to enhance your AI governance and deliver bespoke solutions on a single unifying platform. GovernML brings responsible AI/ML systems into the world. Get scalable, user-friendly workflows that document the lifecycle of your AI journey on one platform.
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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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    Fairly

    Fairly

    Fairly

    AI and non-AI models need risk management and oversight. Fairly provides a continuous monitoring system for advanced model governance and oversight. With Fairly, risk and compliance teams can collaborate with data science and cyber security teams easily to ensure models are reliable and secure. Fairly makes it easy to stay up-to-date with policies and regulations for procurement, validation and audit of non-AI, predictive AI and generative AI models. Fairly simplifies the model validation and auditing process with direct access to the ground truth in a controlled environment for in-house and third-party models, without adding overhead to development and IT teams. Fairly's platform ensures compliant, secure, and ethical models. Fairly helps teams identify, assess, monitor, report and mitigate compliance, operational and model risks according to internal policies and external regulations.
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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
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    Zendata

    Zendata

    Zendata

    Manage data security & risk across your entire stack. Your customer-facing assets are where the data collection/shaping occurs. Source code with data flows and third-party components. Distrust with how companies handle data arises due to data breaches, sharing/selling of personal information, and targeted advertising without consent, eroding trust between companies and customers. Don’t forfeit your customers’ trust by exposing them to privacy risks. Ensure their individual privacy and also protect your organization’s sensitive information with our data protection plans. Our privacy program will keep all of your company's data safe. And for your enterprise's continuity, our privacy compliance software will safeguard you from paying fines for non-compliance with security policies. Protect your customers' personal information and ensure compliance with global privacy laws with Zendata's no-code platform.
    Starting Price: $299 per month