Alternatives to Barndoor.ai
Compare Barndoor.ai alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Barndoor.ai in 2026. Compare features, ratings, user reviews, pricing, and more from Barndoor.ai competitors and alternatives in order to make an informed decision for your business.
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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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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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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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JetStream Security
JetStream
JetStream Security is a security-first AI governance platform designed to give enterprises full visibility, control, and accountability over their AI systems by turning them from opaque, fragmented tools into managed, traceable infrastructure. It acts as a centralized control plane that connects identity, runtime governance, observability, and financial oversight into a single system, allowing organizations to “see every AI action, tie actions to accountable owners, [and] keep workflows inside approved boundaries” while enforcing policy at runtime. It introduces agentic identity, binding human, agentic, and non-human identities to specific actions and access permissions, ensuring every invocation, tool call, or workflow can be traced and governed through least-privilege access principles. Through continuous runtime governance, JetStream compares live AI behavior against approved blueprints, using immutable logging and real-time observability to detect drift. -
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Dymium
Dymium
Dymium is the real-time data governance layer that ensures AI agents, applications, and analytics only access the precise information they’re permitted to see. Powered by its Ghost Layer architecture, Dymium evaluates every request as it happens, enforcing identity-, role-, and context-aware policies instantly. Sensitive data never needs to be copied, staged, or broadly exposed—access is governed directly at the source through GhostDB, GhostAPI, and GhostMCP. This enables teams to work at inference speed without creating compliance or security risk. Every interaction is logged and auditable in real time, supporting GDPR, HIPAA, and AI Act requirements by default. With Dymium, organizations unlock more data safely while eliminating over-permissioning, data duplication, and operational bottlenecks. -
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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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Agent Control
Agent Control
Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.Starting Price: Free -
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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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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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Domino Enterprise AI Platform
Domino Data Lab
Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency. -
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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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Preloop
Preloop
Preloop is the open source AI agent control plane for agents that take real actions. It combines an MCP firewall for tool access, an AI model gateway for cost, safety, and attribution, policy-as-code with human approvals, runtime session observability, and audit trails in a single self-hostable platform. AI agents can deploy code, change infrastructure, move money, touch production data, and burn model spend in seconds, so Preloop helps teams control what agents can do, how much they spend, and which actions require human approval. It works with OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any MCP-compatible agent or managed runtime. Access rules can inspect arguments and context, not just tool names, with CEL expressions for fine-grained conditions. Teams can start with observability, then layer in approvals and deny rules without SDKs or invasive app changes.Starting Price: $290 per month -
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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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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. -
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IndyKite
IndyKite
IndyKite is a context graph purpose-built to deliver real-time trust, control, and explainability for applications and AI. It transforms signals into live enforcement context, evaluated at the moment of use to determine who or what can access which data, under what conditions, and why. It unifies identity, metadata, provenance, and policies into a single operational context engine that applications and AI systems can rely on, instead of keeping context scattered across IAM systems, catalogs, MDM, security tools, code, and documents. IndyKite models identity, data, and policy together so controls can apply to humans, machines, and AI equally. Its Identity Knowledge Graph accurately reflects users, applications, machines, data types, and the relationships between them, creating a real-world data model of both person and non-person entities. This provides the foundation for intelligent, predictive access control, with contextual insights. -
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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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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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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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Notenic
Notenic
Notenic is a runtime orchestration and governance platform designed to control and secure autonomous AI agents (“digital labor”) in real time, particularly in environments where failure carries regulatory, legal, or operational consequences. It operates as an infrastructure layer that sits directly in the execution path of AI systems, enforcing deterministic governance before any action reaches systems of record, rather than relying on post-output filters or prompt-level controls. It introduces a zero-trust runtime architecture built on core principles such as zero-persistence (no data retained after each session), execution-path control (policy enforcement at the moment of action), and independence from model context, ensuring that adversarial inputs cannot override governed behavior. Notenic provides a unified control plane that includes agent workforce management (treating AI agents as operational units with defined roles and supervision). -
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Warestack
Warestack
Warestack is an agentic AI–powered release protection platform that installs directly into your GitHub organization and enforces custom, context-aware guardrails across every stage of your development workflow. Users write protection rules in plain English, such as requiring approvals for non-hotfix PRs or blocking Friday deployments, and Warestack automatically flags or blocks risky operations, traces events like pull requests, issues, deployments, and workflow runs in real time, and centralizes visibility in a unified dashboard. It integrates seamlessly with tools like GitHub, Slack, and Linear to deliver smart alerts and notifications, while offering one-click audit logs and reports to support SOC-2 and compliance needs. Warestack scales effortlessly across teams and repositories with scoped rule application, role-based enforcement, and a transparent open source rule engine named Watchflow that powers its policy creation.Starting Price: $49 per month -
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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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Fluq
Fluq
Fluq is an AI agent observability and orchestration platform designed to give teams full visibility and control over how their AI agents operate in real time. It acts as a centralized “single pane of glass” where every agent action, LLM calls, tool usage, file operations, token consumption, and associated costs are tracked and visualized through detailed waterfall traces. By routing all agent requests through a lightweight proxy, Fluq requires minimal setup and works with any LLM provider or agent framework, allowing organizations to integrate it into existing systems without modifying code. It enables teams to inspect each decision an agent makes, drill into execution steps, and understand exactly how outcomes are generated, improving transparency and debuggability. It also includes governance features such as policy enforcement, spend limits, approval gates, and access controls, helping prevent issues like runaway costs, misuse of tools, or inaccurate outputs.Starting Price: $29 per 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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Microsoft Agent 365
Microsoft
Microsoft Agent 365 introduces a unified control plane that allows organizations to deploy, manage, and secure AI agents with the same confidence they apply to user management. It gives enterprises full visibility into all agents, including Entra-verified agents, self-registered agents, and shadow agents running across the environment. Built on Microsoft’s trusted ecosystem, Agent 365 extends familiar tools like Entra, Defender, Purview, Power Apps, and Microsoft 365 to support identity, security, governance, and productivity for agents. With Work IQ, organizations can connect agents directly to their unique company data and workflows, enabling smarter, more context-aware automation. IT admins can access Agent 365 early via Frontier, Microsoft’s early access program, and activate it at the tenant or user level. Designed to scale with modern AI adoption, Agent 365 ensures that enterprise agentic systems remain secure, compliant, and manageable from day one. -
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Constellation
Constellation
Constellation is a corporate governance platform designed to enforce organizational rules and decision-making constraints in real time. It ensures that every action taken by employees, teams, or AI systems is checked against institutional policies before execution. The platform helps organizations maintain compliance, reduce risk, and improve decision speed without sacrificing oversight. By embedding governance directly into workflows, Constellation eliminates delays caused by manual approvals and fragmented coordination. It provides a structured system where decisions are both fast and accountable. -
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AGAT Secure AI Platform
AGAT Software
AGAT Secure AI Platform is a security-first AI platform designed to provide enterprise-grade generative AI capabilities while ensuring full data protection and governance. It supports deployment either on-premises (including air-gapped environments) or in the cloud, enabling zero-data-exposure use cases and strong enterprise control. It comprises two main components: an AI Suite and an AI Firewall. The AI Suite offers a private-AI environment with modules including a knowledge assistant (answers from company data), data-analysis agent (natural-language analytics on spreadsheets and databases), smart search (meaning-based content discovery), AI code assistant (code completion, generation and error detection), and AI agents that can plan and execute tasks via file creation/modification and internet search. The AI Firewall acts as a real-time proxy for public AI services, enforcing risk-based policies, and more. -
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Teradata Enterprise AgentStack
Teradata
Teradata Enterprise AgentStack is an integrated platform for building, deploying, and governing enterprise-grade autonomous AI agents that connect to trusted data and analytics, helping organizations move from experimentation to production-ready agentic AI with enterprise-level control. It unifies capabilities to support the full agent lifecycle; AgentBuilder accelerates the creation of intelligent agents using no-code and pro-code tools that integrate with Teradata Vantage and open-source frameworks; the Enterprise MCP delivers secure, context-rich access to governed enterprise data and curated prompts for agent intelligence; AgentEngine provides scalable execution of agents with consistent memory and reliability across hybrid environments; and AgentOps centralizes monitoring, governance, compliance, auditability, and policy enforcement so agents operate within defined guardrails. -
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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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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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AccuroAI
AccuroAI
AccuroAI is an enterprise AI security, data protection, and governance platform designed to give organizations full visibility and control over how artificial intelligence tools and agents are used across their environment. It continuously discovers and inventories both sanctioned and shadow AI tools, spanning browsers, SaaS applications, networks, and autonomous agents, mapping every interaction down to the user, application, and purpose. It operates inline between users and AI models, inspecting prompts and responses in real time to detect and prevent risks such as sensitive data exposure, prompt injection attacks, and unsafe outputs. It applies dynamic data loss prevention by identifying and redacting sensitive information like PII, financial data, source code, and health records before they reach the model, without disrupting workflows. AccuroAI centralizes control through a unified policy engine that enforces governance across human prompts and agent actions. -
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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 -
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Superagent
Superagent
Superagent is an open source AI safety and agent development platform that helps developers and organizations build, deploy, and protect AI-driven applications and assistants by embedding safety guardrails, runtime security, and compliance controls into agent workflows. It provides purpose-trained models and APIs (such as Guard, Verify, and Redact) that block prompt injections, malicious tool calls, data leakage, and unsafe outputs in real time, while red-teaming tests probe production systems for vulnerabilities and deliver findings with remediation guidance. Superagent integrates with existing AI systems at inference and tool-call layers to filter inputs/outputs, remove sensitive data like PII/PHI, enforce policy constraints, and stop unauthorized actions before they occur, offering unified observability, live trace logs, policy controls, and audit trails for security and engineering teams.Starting Price: Free -
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The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.Starting Price: $699 per month
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Proofpoint AI Security
Proofpoint
Proofpoint AI Security is a unified platform designed to help enterprises govern, monitor, and protect the use of AI systems, large language models, and autonomous agents across the organization. It provides visibility into both sanctioned and unsanctioned AI usage, enabling security teams to discover shadow AI tools, observe prompts and responses, and understand how AI interacts with sensitive data in real time. It applies intent-based detection and behavioral analysis to identify anomalies, prompt injection attempts, and risky interactions, while enforcing policies directly during runtime to prevent data leakage and misuse. It reconstructs full AI transactions, from user input to agent actions and outcomes, giving organizations complete traceability and audit readiness. With controls that extend across endpoints, browsers, and AI agent connections, it enables granular access governance and ensures that AI systems only access and share appropriate information. -
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Amnic
Amnic
Amnic is a FinOps tool powered by context-aware AI agents that helps organizations gain clarity and control over their cloud spending. It automates cloud cost management by deploying role-specific agents that analyze usage, detect anomalies, and generate insights tailored to different stakeholders. Through its cloud cost observability capabilities, Amnic enables teams to visualize, analyze, and optimize infrastructure expenses, turning complex cloud bills into actionable intelligence. It provides fast cloud financial health checks, natural-language insights, and automated reporting that reduce the manual effort typically required for FinOps workflows. Built-in governance tools monitor budget drift, enforce tagging hygiene, and assign ownership, helping organizations maintain accountability across engineering and finance teams. -
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GraphBit
GraphBit
GraphBit is an enterprise-grade agentic AI framework built to run critical AI systems with security, governance, and predictable production performance. It combines a Rust execution core with a Python wrapper to give developers high-performance orchestration with the accessibility of Python, helping teams build reliable multi-agent workflows with minimal CPU and memory usage. GraphBit is designed around the layers that reduce risk, including interfaces, configuration, models, tools, actions, memory, orchestration, and observability. It integrates into existing apps, powers custom AI interfaces, and lets users interact through familiar workflows with controlled actions. Teams can define policies, rules, and guardrails centrally, while GraphBit enforces behavior without changing application code. It supports LLMs and multimodal models from multiple providers, allowing teams to swap models freely without breaking workflows or governance. -
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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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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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HelpNow Agentic AI Platform
Bespin Global
Bespin Global’s HelpNow Agentic AI Platform is an enterprise-grade AI agent automation and orchestration platform that lets organizations rapidly create, deploy, and manage autonomous AI agents tailored to real business workflows without deep coding, using a visual builder (Agentic Studio) and centralized portal to design single or multi-agent workflows, integrate with existing systems via APIs and connectors, and monitor performance in real time with an Agent Control Tower for governance, policy enforcement, and quality oversight; it supports LLM orchestration, multimodal inputs (text, voice, STT/TTS), and flexible deployment across cloud environments (AWS, GCP, Azure, on-premises) with connectivity to internal data, documents, and business processes so agents can act on context-rich enterprise information. It combines tools for agent lifecycle management, real-time observability, integration with voice and document processing, and enterprise governance. -
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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. -
41
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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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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Snapper
Snapper
Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring. -
44
Oximy
Oximy
Oximy is a platform built to provide organizations with complete visibility, governance, and protection over how artificial intelligence is used across their workforce, acting as a centralized system of record for enterprise AI activity. It automatically detects and categorizes every AI tool being used by observing network-level interactions, eliminating the need for manual tracking or individual integrations. It continuously monitors how employees, applications, and agents interact with AI systems, analyzing prompts, responses, and data flows in real time to identify risks such as sensitive data exposure, unsafe outputs, or unauthorized usage. It enables organizations to enforce policies dynamically, block risky behavior, and receive alerts when violations occur, while also reconstructing activity to provide full traceability and auditability. Oximy consolidates fragmented AI usage into a unified view, helping teams understand adoption patterns.Starting Price: $9 per month -
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Sapiom
Sapiom
Sapiom is a financial and access infrastructure platform that enables AI agents and API-driven applications to securely access, provision, and pay for third-party services, APIs, tools, and compute in real time without manual onboarding, individual API-key management, or pre-purchased credits. It provides a central dashboard where organizations can monitor total spend, agent activity, service usage, and real-time analytics, set rule-based limits on spending and usage, and enforce governance policies so autonomous agents operate safely within defined financial guardrails. With its SDKs and APIs, Sapiom lets developers connect agents to a curated network of services (such as verification, web search, AI models via OpenRouter, image/audio generation, and browser automation), automates authentication and micro-payments per use, and tracks every API call, cost, and execution trace for visibility and control.Starting Price: Free -
46
Obot MCP Gateway
Obot
Obot is an open-source AI infrastructure platform and Model Context Protocol (MCP) gateway that gives organizations a centralized control plane for discovering, onboarding, managing, securing, and scaling MCP servers, services that connect large language models and AI agents to enterprise systems, tools, and data. It bundles an MCP gateway, catalog, admin console, and optional built-in chat interface into a modern interface that integrates with identity providers (e.g., Okta, Google, GitHub) to enforce access control, authentication, and governance policies across MCP endpoints, ensuring secure, compliant AI interactions. Obot lets IT teams host local or remote MCP servers, proxy access through a secure gateway, define fine-grained user permissions, log and audit usage, and generate connection URLs for LLM clients such as Claude Desktop, Cursor, VS Code, or custom agents.Starting Price: Free -
47
Keycard
Keycard
Keycard is an identity-and-access infrastructure platform built for the agent-native era, enabling developers and enterprises to securely connect AI agents, users, services, and APIs with real-time, policy-driven identity controls. It issues dynamic, ephemeral access tokens in place of static secrets and supports federated identity models to unify users, agents, and workloads under a distributed authorization framework. The platform provides drop-in SDKs for popular frameworks so developers can build agent-aware applications without becoming IAM experts. Keycard’s data model includes identity-attested agents, tasks, tools, and resources, allowing logical zones with context-aware permissions and auditability. On the policy side, security teams can define deterministic, task-based rules that enforce who (user/agent) can do what (task) on which resource under which conditions, all with full transparency. -
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Check Point Identity Awareness
Check Point Software Technologies
Check Point Identity Awareness offers granular visibility of users, groups, and machines, providing unmatched application and access control through the creation of accurate, identity-based policies. Centralized management and monitoring allows for policies to be managed from a single, unified console. It is clear that username and passwords no longer prove the identity of a user. Access control to your valuable assets must be strengthened. Check Point Identity Awareness ensures access to your data is granted only to authorized users, and only after their identities have been strictly authenticated; using Single Sign-On, Multi-Factor Authentication, Context-aware policies and anomaly detection. -
49
WitnessAI
WitnessAI
WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or security. Monitor and audit AI activity and risk with full visibility into applications and usage. Enforce consistent, acceptable use policy on data, topics, and usage. Secure your chatbots, data, and employee activity from misuse and attacks. WitnessAI is building a team of experts, engineers, and problem solvers from around the world. Our goal is to create an industry-leading AI security platform that unlocks AI’s potential while minimizing its risk. WitnessAI is a set of security microservices that can be deployed on-premise in your environment, in a cloud sandbox, or in your VPC, to ensure that your data and activity telemetry are separated from other customers. Unlike other AI governance solutions, WitnessAI provides regulatory segregation of your information. -
50
VoltusWave
VoltusWave
VoltusWave is an enterprise AI agent workforce platform designed to move beyond isolated automation tools by combining intelligent agents with a full execution layer where they can operate end-to-end business processes. It provides a unified system where AI agents can read documents, make decisions, execute workflows, and escalate exceptions, all with full auditability and human override built in. It is powered by six interconnected engines, including process orchestration, rules enforcement, document generation, integration infrastructure, no-code application building, and a governed AI agent workforce, enabling organizations to run complex operations such as procure-to-pay or enterprise-to-cash cycles with minimal manual intervention. AI agents operate across these layers to handle documents, approvals, reconciliations, compliance checks, and customer interactions, while a rules engine ensures that every action follows predefined logic with version control and traceability.
