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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1
Vertex AI
Google
Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex. -
2
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. -
3
Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
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Zania
Zania
Zania provides autonomous AI agents tailored for governance, risk, and compliance that execute complex tasks with high accuracy, enabling organizations to automate assessments, control testing, vendor questionnaires, evidence collection, policy updates, and full workflow orchestration. It continuously monitors risks across first- and third-party environments, interprets large volumes of security and audit data, surfaces gaps with actionable remediation, and supports frameworks such as PCI, ISO 27001, SOC 2, and NIST CSF. Built for enterprise-grade security, Zania uses private models (no training on customer data by default), offers SOC 2 Type 2 compliance, SSO/SAML integrations, and allows data-residency controls. With its autonomous workflows, users can ask the AI in natural language for tasks like “find employees with overdue security tickets and send Slack reminders”, and Zania will orchestrate the end-to-end process, from detection to escalation. -
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Microsoft Azure Responsible AI
Microsoft
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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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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7
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. -
8
Cisco AI Defense
Cisco
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. -
9
Azure Machine Learning
Microsoft
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. -
10
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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OneTrust Data & AI Governance
OneTrust
OneTrust's Data & AI Governance solution is an integrated platform designed to establish data and AI policies by consolidating insights from data, metadata, models, and risk assessments, providing comprehensive visibility into data products and AI development. It accelerates data-driven innovation by increasing the speed of approval for data products and AI systems. The solution enhances business continuity through continuous monitoring of data and AI systems, ensuring regulatory compliance, effective risk management, and reduced application downtime. It simplifies compliance by centrally defining, orchestrating, and natively enforcing data policies. Key features include consistent scanning, classification, and tagging of sensitive data to ensure the reliable application of data governance policies across structured and unstructured sources. It promotes responsible data usage by enforcing role-based access within a robust data governance framework. -
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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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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. -
14
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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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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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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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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Dataiku
Dataiku
Dataiku is an advanced data science and machine learning platform designed to enable teams to build, deploy, and manage AI and analytics projects at scale. It empowers users, from data scientists to business analysts, to collaboratively create data pipelines, develop machine learning models, and prepare data using both visual and coding interfaces. Dataiku supports the entire AI lifecycle, offering tools for data preparation, model training, deployment, and monitoring. The platform also includes integrations for advanced capabilities like generative AI, helping organizations innovate and deploy AI solutions across industries. -
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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. -
20
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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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 -
22
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. -
23
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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Dataplex Universal Catalog
Google
Dataplex Universal Catalog is Google Cloud’s intelligent governance platform for data and AI artifacts. It centralizes discovery, management, and monitoring across data lakes, warehouses, and databases, giving teams unified access to trusted data. With Vertex AI integration, users can instantly find datasets, models, features, and related assets in one search experience. It supports semantic search, data lineage, quality checks, and profiling to improve trust and compliance. Integrated with BigQuery and BigLake, it enables end-to-end governance for both proprietary and open lakehouse environments. Dataplex Universal Catalog helps organizations democratize data access, enforce governance, and accelerate analytics and AI initiatives.Starting Price: $0.060 per hour -
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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 -
26
Lunar.dev
Lunar.dev
Lunar.dev is an AI gateway and API consumption management platform that gives engineering teams a single, unified control plane to monitor, govern, secure, and optimize all outbound API and AI agent traffic, including calls to large language models, Model Context Protocol tools, and third-party services, across distributed applications and workflows. It provides real-time visibility into usage, latency, errors, and costs so teams can observe every model, API, and agent interaction live, and apply policy enforcement such as role-based access control, rate limiting, quotas, and cost guards to maintain security and compliance while preventing overuse or unexpected bills. Lunar.dev's AI Gateway centralizes control of outbound API traffic with identity-aware routing, traffic inspection, data redaction, and governance, while its MCPX gateway consolidates multiple MCP servers under one secure endpoint with full observability and permission management for AI tools.Starting Price: Free -
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Tenable AI Exposure
Tenable
Tenable 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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Credo AI
Credo AI
Standardize your AI governance efforts across diverse stakeholders, ensure regulatory readiness of your governance processes, and measure and manage your AI risks and compliance. Go from fragmented teams and processes to a centralized repository of trusted governance that makes it easy to ensure all of your AI/ML projects are being governed effectively. Stay up-to-date with the latest regulations and standards with AI Policy Packs that meet current and emerging regulations. Credo AI is an intelligence layer that sits on top of your AI infrastructure and translates technical artifacts into actionable risk & compliance insights for product leaders, data scientists, and governance teams. Credo AI is an intelligence layer that sits on top of your technical and business infrastructure and translates technical artifacts into risk and compliance scores. -
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Acuvity
Acuvity
Acuvity is the most comprehensive AI security and governance platform for your employees and applications. DevSecOps implements AI security without code changes and devs can focus on AI Innovation. Pluggable AI security results in completeness of coverage, without old libraries or insufficient coverage. Optimize costs by efficiently using GPUs only for LLM models. Full visibility into all GenAI models, apps, plugins, and services that your teams are using and exploring. Granular observability into all GenAI interactions with comprehensive logging and an audit trail of inputs and outputs. AI usage in enterprises requires a specialized security framework that is able to address new AI risk vectors and comply with emerging AI regulations. Employees can use AI confidently, without risking exposing confidential data. Legal would like to ensure there are no copyright, or regulatory issues while using AI-generated content. -
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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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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 -
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FairNow
FairNow
FairNow equips organizations with all the AI governance tools they need to ensure global compliance and manage AI risk. Loved by CPOs, CAIOs, risk management, and legal professionals, FairNow's features are simplified, centralized, and empowering for the entire team. FairNow’s platform continuously monitors AI models to ensure that every model is fair, compliant, and audit-ready. Top features include: - Intelligent AI Risk Assessments: Conduct real-time assessments of AI models, using their deployment locations to highlight possible reputational, financial, and operational risks. - Hallucination Detection: Proactively detect errors and unexpected answers. - Automated Bias Evaluations: Automate bias evaluations and mitigate algorithmic bias as it happens. Plus: - AI Inventory - Centralized Policy Center - Roles and Controls FairNow’s AI governance platform helps organizations build, buy, and deploy AI with complete confidence. -
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VerifyWise
VerifyWise
VerifyWise is an open-source AI governance platform that helps organizations document, assess, and manage their AI systems in a transparent and structured way. Built to support compliance with frameworks like ISO/IEC 42001, NIST AI RMF, and the EU AI Act, it offers a centralized registry where teams can log every AI system, along with its purpose, model type, deployment details, and risk classification. Whether it’s a large language model, a computer vision system, or a rules-based tool, VerifyWise helps you keep track of everything in one place. The platform’s open-source nature means it’s fully self-hostable and adaptable. Organizations can audit the code, contribute improvements, and extend functionality to meet specific needs. Security is built-in, with automated checks for credential leaks, license issues, and dependency vulnerabilities. It supports external contributions while maintaining high code quality standards, making it ideal for both public and private sector use.Starting Price: $129/month -
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Teleskope
Teleskope
Teleskope is a modern data protection platform designed to automate data security, privacy, and compliance at enterprise scale. It continuously discovers and catalogs data across cloud, SaaS, structured, and unstructured sources, classifying over 150 entity types such as PII, PHI, PCI, and secrets with high precision and high throughput. Once sensitive data is identified, Teleskope enables automated remediation, such as redaction, masking, encryption, deletion, and access correction, while integrating into developer workflows via its API-first model and supporting deployment as SaaS, managed, or self-hosted. The platform also builds prevention capabilities, embedding into SDLC pipelines to stop sensitive data from entering production systems, support safe AI adoption (without using unchecked sensitive data), handle data subject rights requests (DSARs), and map findings to regulatory standards (GDPR, CPRA, PCI-DSS, ISO, NIST, CIS). -
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Aporia
Aporia
Create customized monitors for your machine learning models with our magically-simple monitor builder, and get alerts for issues like concept drift, model performance degradation, bias and more. Aporia integrates seamlessly with any ML infrastructure. Whether it’s a FastAPI server on top of Kubernetes, an open-source deployment tool like MLFlow or a machine learning platform like AWS Sagemaker. Zoom into specific data segments to track model behavior. Identify unexpected bias, underperformance, drifting features and data integrity issues. When there are issues with your ML models in production, you want to have the right tools to get to the root cause as quickly as possible. Go beyond model monitoring with our investigation toolbox to take a deep dive into model performance, data segments, data stats or distribution. -
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WhyLabs
WhyLabs
Enable observability to detect data and ML issues faster, deliver continuous improvements, and avoid costly incidents. Start with reliable data. Continuously monitor any data-in-motion for data quality issues. Pinpoint data and model drift. Identify training-serving skew and proactively retrain. Detect model accuracy degradation by continuously monitoring key performance metrics. Identify risky behavior in generative AI applications and prevent data leakage. Protect your generative AI applications are safe from malicious actions. Improve AI applications through user feedback, monitoring, and cross-team collaboration. Integrate in minutes with purpose-built agents that analyze raw data without moving or duplicating it, ensuring privacy and security. Onboard the WhyLabs SaaS Platform for any use cases using the proprietary privacy-preserving integration. Security approved for healthcare and banks. -
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Enzai
Enzai
An AI governance platform designed by lawyers with regulatory expertise, tailored to your use cases and policies. Businesses must learn to navigate and comply with new legislation and guidelines. Organizations risk losing customer trust and a breakdown in product engagement if AI malfunctions. Teams must deal with increasingly complex AI systems, with more use cases than ever. Monitor compliance of your AI systems through our assessments and live model controls. Alert users to mitigate potential issues or risks. Implementing good AI governance practices can be time-consuming. Leverage built-in automation to import model data and artifacts, and review and update documentation. Understand AI compliance across your organization. Provide senior stakeholders with the full picture of their AI compliance to make strategic decisions and share reports for curated audiences. We offer a complete set of policies that ensure legal and regulatory compliance through pre-configured assessments. -
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Harmonic
Harmonic
55% of organizations are adopting AI to stay competitive. Harmonic ensures you're not left behind by equipping security teams with robust tools for secure implementation. As employees embrace new tools, especially from remote locations, Harmonic extends your security reach, ensuring no shadow AI escapes detection. Mitigate the risks of data exposure and maintain compliance with Harmonic's advanced safeguards, keeping your sensitive information secure and private. Traditional data security methods are failing to keep pace with the rapid advancements in AI. Many security teams find themselves stuck using broad, restrictive measures that severely impact productivity. Harmonic provides a smarter alternative. Our solutions are designed to give security professionals the tools and visibility they need to safeguard sensitive, unstructured data effectively, without compromising on efficiency. -
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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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Controllo
Controllo
Controllo is an AI-enhanced Governance, Risk, and Compliance (GRC) platform that unifies data, tools, and teams to streamline audit and compliance processes, thereby reducing timelines and costs. It offers comprehensive end-to-end GRC management, providing information security teams with a 360-degree view of compliance across multiple frameworks, all mapped to each other, along with risk assessments and control implementations. The platform features high-level dashboards for real-time insights and integrates seamlessly with ticketing systems like Jira and ServiceNow, as well as communication tools, to drive effective risk mitigation. It prioritizes vulnerabilities based on actual cyber risk impact rather than just technical severity scores, empowering data-driven mitigation decisions and ensuring regulatory compliance. Controllo supports various frameworks. -
41
SigmaRed
SigmaRed
Our platform dynamically assesses and mitigates AI risks in models and datasets concerning bias, proxy bias and fairness. Our Responsible AI technology enables deeper visibility into AI models and makes them explainable and interpretable. Our research-based AI robustness assurance algorithms identify and mitigate risks related to lack of robustness. Our platform reviews AI landscape about various AI and MRM regulations and provides deeper risk analysis, comprehensive reporting, and automated remediation. AI risks across in-house AI systems as well as AI systems provided by third parties need to be assessed and remediated. SigmaRed platform enables comprehensive third-party AI risk management (AI TPRM) and rapidly reduces the cycle time of conducting AI risk assessments while providing deep visibility, control, stakeholder-based reporting, and detailed evidence repository. -
42
Sekura.ai
Sekura.ai
Sekura.ai offers AI-based cybersecurity applications designed to enhance threat detection and response capabilities. Their solutions leverage advanced artificial intelligence to identify and mitigate security risks in real time, providing organizations with robust protection against cyber threats. Harness AI advances while protecting sensitive data, maintaining compliance, and keeping your engineering team focused on core products. Deploy advanced LLMs safely to enhance both internal operations and customer experiences. Instantly detect and redact sensitive information during all LLM operations, from training to inference. Control access to sensitive training data and prompts. Use external models without exposing private information. Set granular permissions for data access with time-based controls. Meet evolving data privacy standards with confidence. Leverage public LLMs securely without building costly internal models. -
43
Token Security
Token Security
Token Security accelerates secure enterprise adoption of Agentic AI by discovering, managing, and governing every AI agent and non-human identity across the organization. From continuous visibility to least-privilege enforcement and lifecycle management, Token Security provides complete control over AI and machine identities, eliminating blind spots, reducing risk, and ensuring compliance at scale. -
44
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. -
45
Datatron
Datatron
Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you. Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure that they are running smoothly and efficiently in production. Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ). Explore models built and uploaded by your data science team, all from one centralized repository. Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework. Make better decisions based on your model performance. -
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Azure AI Content Safety
Microsoft
Azure AI Content Safety is a content moderation platform that uses AI to keep your content safe. Create better online experiences for everyone with powerful AI models that detect offensive or inappropriate content in text and images quickly and efficiently. Language models analyze multilingual text, in both short and long form, with an understanding of context and semantics. Vision models perform image recognition and detect objects in images using state-of-the-art Florence technology. AI content classifiers identify sexual, violent, hate, and self-harm content with high levels of granularity. Content moderation severity scores indicate the level of content risk on a scale of low to high. -
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Akitra Andromeda
Akitra
Akitra Andromeda is a next-generation, AI-enabled compliance automation platform designed to streamline and simplify regulatory adherence for businesses of all sizes. It supports a wide range of compliance frameworks, including SOC 2, ISO 27001, HIPAA, PCI DSS, SOC 1, GDPR, NIST 800-53, and custom frameworks, enabling organizations to achieve continuous compliance efficiently. The platform offers over 240 integrations with major cloud platforms and SaaS services, facilitating seamless incorporation into existing workflows. Akitra's automation capabilities reduce the time and cost associated with manual compliance management by automating monitoring and evidence-gathering processes. The platform provides a comprehensive template library for policies and controls, assisting organizations in establishing a complete compliance program. Continuous monitoring ensures that assets remain secure and compliant around the clock. -
48
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.Starting Price: $0 -
49
Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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Aiimi
Aiimi
Aiimi’s Workplace AI platform is an enterprise-scale AI and data management solution that connects all structured and unstructured data across an organization through a single Virtual Data Layer, enabling secure, scalable AI-powered search, analysis, automation, and actionable insights. It uses AI, machine learning, and Retrieval Augmented Generation (RAG) to discover, classify, enrich, and govern data at scale, turning fragmented information into trusted, “AI-ready” datasets that support natural language search, contextual chat and assistant features, advanced Q&A, and visualizations like knowledge graphs and timelines. It automates complex processes such as data governance, compliance monitoring, data quality improvement, DSAR/disclosure handling, and cloud/legacy system migration, while preserving access controls, permissions, and audit trails.
