Alternatives to Skovos

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

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

    Drata

    Drata

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

    Willow

    Willow

    Willow is a leading enterprise platform for governing AI agents, tools, MCP servers, skills, and plugins. It connects agents such as Claude, ChatGPT, Cursor, Codex, Gemini, n8n, and custom agents to internal systems and SaaS tools, including Jira, GitHub, Slack, and databases, through an MCP gateway. Agents receive human-linked identities, scoped permissions, and audit trails. Security teams define policies, while employees self-serve approved connectors, skills, and plugins. Features include shadow AI discovery; PII redaction and prompt-injection inspection; app- and action-level permissions; SSO, SCIM, and RBAC with Okta, Entra ID, and JumpCloud; SIEM export; token and cost monitoring; and background agents. Willow is available as SaaS, dedicated cloud, or on-premises in a customer VPC. It holds SOC 2 Type II attestation, is GDPR-ready.
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    Runlayer

    Runlayer

    Anysource

    Runlayer is an AI control plane for organizations deploying AI agents and related tools across engineering, security, IT, and business teams. It provides a governed catalog of approved MCP servers, connectors, skills, and agents, and routes agent tool calls through a policy-enforcing gateway. Administrators can discover AI clients and MCP activity, review session traces and audit records, and use configurable policies, approvals, and security scanners to monitor or block risky actions. Employees can create agents through supported AI clients using approved tools and scoped permissions, while teams manage adoption and usage. Runlayer connects AI clients, identity providers, device-management systems, and MCP servers, with hosted and self-hosted deployment options. It is designed for companies seeking centralized visibility, governance, and security as they roll out AI agents and workflows.
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    Maetra

    Maetra

    Maetra

    Maetra is an AI governance and compliance control plane for teams operating tool-using AI agents. Discover inventories agents and capabilities; Comply maps systems to applicable frameworks and keeps reusable evidence current; Govern evaluates consequential actions against versioned policies and routes human approval when required. Secure scans prompts, messages, model outputs, and tool calls for prompt injection, data exposure, unsafe actions, and policy violations. Task Guard detects task drift, scope changes, and mismatched effects. Interaction Guard protects supported browser-AI prompts and files, while Audit preserves linked decision, approval, runtime, and change evidence. Teams can adopt modules separately or together through the web app, REST APIs, SDKs, and MCP. A 14-day no-card trial is available, with paid plans from $20/month.
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    Kosmoy

    Kosmoy

    Kosmoy

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

    Tangerin AI

    Tangerin AI

    Tangerin AI is the independent AI governance platform that discovers, assesses, governs and verifies AI use across the entire company, from any vendor. Headquartered in Brazil and operating globally, serving customers in Portuguese, English and Spanish. It answers what most companies cannot: which AI tools, IT-approved or not (Shadow AI), are used, by whom, at what data risk, and with what evidence for an auditor. Collected via a lightweight endpoint agent (Windows, macOS, Linux) or agentless ingestion of NGFW, SSE and SIEM logs. Every signal resolves against a proprietary catalog of thousands of AI tools, recording data risk, processing country, retention policy and training use. Each tool is scoped as allowed, restricted or prohibited by policy; employees digitally sign the AI usage policy; compliance covers 20+ frameworks - NIST AI RMF, SOC 2, LGPD, ISO 42001, EU AI Act and more. Never collects conversation content, prompts or files.
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    Assurio

    Assurio

    SDLC Corp

    Assurio is an AI governance, risk management, and assurance platform for organizations overseeing AI systems, models, and agents. It provides an inventory for recording owners, intended uses, components, and suppliers, and connects risk assessments, policies, controls, exceptions, and lifecycle approvals. Evaluation workflows link requirements to test scenarios, metrics, findings, and supporting evidence. Teams can retain decision records and evidence histories, monitor changes, and identify records for reassessment. Assurio maps work to frameworks including NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, and the EU AI Act; framework mapping is not a compliance determination. The platform is designed to connect with external requirements, model-management, testing, observability, GRC, ERP, CRM, and workflow systems. Customer-hosted and dedicated deployment designs are described for enterprise use.
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    asqav

    asqav

    asqav

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

    Nightworks AI

    Nightworks AI

    Nightworks AI is a governed agent platform for recurring finance and operations work, including close preparation and back-office workflows. It is designed for controllers, CFOs, owner-operators, holding-company operators, and regulated back-office teams. Agents prepare work and supporting evidence while people review decisions and retain control over irreversible actions. Services include workflow discovery, a controlled workflow trial, and an operating review. Agents are deployed in the customer's environment, where a workspace lets operators review evidence, decisions, and recorded activity. Workflow scope, permissions, source systems, and implementation are agreed for each engagement.
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    OneTrust AI Governance
    OneTrust AI Governance is AI governance tool built to protect the ROI of AI by translating AI risk into enforceable controls, helping teams govern well and move fast. It aligns enterprise governance with technical reality so organizations can scale AI faster, reduce risk, and maintain trust as AI systems evolve in production. It helps teams catalog AI systems and assess risk by tracking models, datasets, agents, and vendors in a central inventory, assigning ownership and lifecycle status, and understanding component dependencies. It standardizes AI risk identification using global frameworks such as the EU AI Act, NIST, and ISO 42001, with automated workflows for risk tiering by use case, system, or component, plus mapped risk and control frameworks for ongoing compliance. OneTrust streamlines approvals, attestations, scoping, evidence collection, and audit-ready reporting through configurable intake and approval workflows.
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    Kastra

    Kastra

    Kastra

    Kastra is the authorization layer for AI systems, deciding what agents, models, and AI tools are allowed to do before they do it. It sits in the execution path of every prompt, tool call, shell command, database operation, and API request, evaluates each action against deterministic, attribute-based policy, and returns an allow, deny, redact, or escalate decision in under a millisecond. Unlike monitoring products that observe AI after it acts, Kastra blocks unauthorized behavior before it reaches a tool, API, database, or production system. Its unified control plane combines a policy engine, edge decision points, integrations, and a tamper-evident evidence vault that signs every decision for audit and replay. Kastra Edge brings local enforcement to developer machines, protecting Claude Code, Cursor, Codex CLI, and other coding agents from destructive commands, secret exfiltration, unsafe file writes, and unauthorized tool use.
    Starting Price: $19.99 per month
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    Modulos AI Governance Platform
    Modulos is an AI governance platform for organizations that build, buy or use AI in regulated settings. It keeps one record of every AI system with its owner, risks, controls and evidence. One control library covers the EU AI Act, ISO/IEC 42001, NIST AI RMF, GDPR, DORA and NIS2, so a control implemented once counts for every framework that requires it. AI agents discover AI systems across cloud accounts, code and connected tools, draft control assessments, collect evidence and price each risk as an expected annual loss in euros. Scheduled tests run against live systems through connectors such as GitHub, Datadog, Langfuse and Snowflake, or through the REST API and Python SDK, and a failed test reopens the linked control. Founded in 2018 as a spin-off of ETH Zurich, Modulos is SOC 2 Type II certified and was the first AI governance platform to receive ISO/IEC 42001 product conformity certification.
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    JetStream Security
    JetStream Security is a security-first AI governance platform designed to give enterprises full visibility, control, and accountability over their AI systems by turning them from opaque, fragmented tools into managed, traceable infrastructure. It acts as a centralized control plane that connects identity, runtime governance, observability, and financial oversight into a single system, allowing organizations to “see every AI action, tie actions to accountable owners, [and] keep workflows inside approved boundaries” while enforcing policy at runtime. It introduces agentic identity, binding human, agentic, and non-human identities to specific actions and access permissions, ensuring every invocation, tool call, or workflow can be traced and governed through least-privilege access principles. Through continuous runtime governance, JetStream compares live AI behavior against approved blueprints, using immutable logging and real-time observability to detect drift.
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    KYDE

    KYDE

    KYDE

    KYDE is the behavioral firewall for AI agents. KYDE makes AI agents trustworthy enough to hand them real responsibility. It prevents what an agent must not do, proves what it did, and keeps your knowledge yours. Not on the machine. Not in the agent. KYDE sits outside, in the request path between your agents and every LLM provider — every action intercepted, scoped, and signed before it executes. Outside the agent. Cannot be overridden. Zero code changes. One environment variable. Provider-agnostic, MCP-ready, <100 ms target latency. Three functions. One layer. PROVE — After the action. An audit trail that is architecturally independent of every LLM provider: Ed25519-signed, hash-chained, captured at the boundary, undeletable by any agent. The suspect can't write the police report. RATE — Across the network. The KYDE Trust Score™: agent behavior rated across every provider in the same currency. Vendors grade their own homework. We grade behavior.
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    Myra AI Workspace

    Myra AI Workspace

    Myra Security

    Myra AI Workspace combines an AI gateway with a governed workspace for organizations using AI with sensitive data. Employees use chat, projects, knowledge sources, file imports, and document-generation tools, while administrators manage access, models, and guardrails. The gateway connects to 20+ model providers, including OpenAI, Anthropic, Gemini, Azure OpenAI, AWS Bedrock, Mistral, Groq, DeepSeek, and xAI, through one OpenAI-compatible endpoint. BYOK support lets organizations use provider contracts. A color-coded privacy indicator shows whether data stays on Myra infrastructure with open-weight models, is PII-masked before reaching external models, or requires administrator approval. Features include configurable guardrails, PII masking, tamper-evident audit logs, three-level budget controls, MCP connectors, SCIM, and SIEM forwarding. The platform runs on Myra's EU infrastructure.
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    systemprompt.io

    systemprompt.io

    SystemPrompt

    SystemPrompt is a self-hostable AI governance and runtime platform for organizations connecting AI clients, model providers, and tools. It provides a shared gateway and control plane for managing user and agent access, model routing, tool permissions, credentials, and policy checks. Requests and tool actions can be recorded in the organization's environment for audit and usage review. The platform supports connections to Anthropic, OpenAI, Google Gemini, and Groq, and uses the Model Context Protocol (MCP) to expose authorized tools to compatible clients. Teams can extend the runtime with agents, workflows, skills, and business-specific services, and deploy it through a binary, containers, or managed cloud tenants. SystemPrompt is intended for technical and security teams governing AI workloads. Local evaluation is free; production use and cloud hosting require commercial terms.
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    Enkrypt AI

    Enkrypt AI

    Anaconda

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

    MemClaw

    Caura AI

    MemClaw is a persistent-memory service for LLM-based agents and a governed shared memory layer for agent fleets. It is designed to help AI agents learn from each other by turning isolated agent context into a Company Brain with memory, governance, provenance, contradiction detection, and visibility scopes built in from day one. MemClaw separates an organization’s agent force, including tenants, fleets, nodes, and agents, from the governed memory plane through MCP Server, REST API, OpenClaw plugin, MemClaw Core, and persistent storage. Agents can write to and recall from the Company Brain through MCP-compatible tools, direct HTTPS calls, or OpenClaw integration, while MemClaw Core runs enrichment such as entity extraction, contradiction detection, PII scanning, and lifecycle transitions before anything is stored. Every memory can be stamped with a visibility scope, auto-classified into types such as fact, episode, decision, preference, rule, plan, commitment, action, and outcome.
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    Rithmo

    Rithmo

    Rithmo

    Rithmo is the fact-checker for AI agents. It helps organizations prevent autonomous and managed agents from acting on stale, conflicting, or superseded business information. Rithmo continuously reconciles decisions made across meetings, messages, and operational systems so agents can work from the current business truth rather than simply the information they retrieve. When context changes, Rithmo can identify the discrepancy, provide the resolved answer with provenance, and prevent an agent from proceeding when the conflict cannot be safely resolved. As part of the AI agent governance and agent reliability stack, Rithmo provides decision history, provenance, supersession, and an audit trail showing what changed and why. Rithmo complements AI agent memory, orchestration, observability, security, and enterprise search by addressing a different problem: whether the business context driving an agent’s action is still true.
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    Onyx Security

    Onyx Security

    Onyx Security

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

    Inficy

    Artnames Ltd

    Inficy is a hosted control plane for AI agent execution evidence. It turns captured agent runs into readable, tamper-evident execution records showing tools, services, timing, failures, recoveries, and human interventions. Records can be inspected, exported, and verified offline, with optional independent certification for selected executions through the NexArt infrastructure. Inficy is designed for engineering teams, operators, and risk or audit reviewers running AI agents that take real actions in production systems.
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    Attestly

    Attestly

    Attestly

    Attestly is an automated AI governance and compliance platform designed to turn operational execution traces into audit-ready EU AI Act documentation. Built for enterprises, AI engineers, and compliance teams, Attestly continuously captures live AI agent execution logs and generates verifiable evidence for Article 12 compliance. Key Capabilities: - Automated Article 12 Compliance: Continuous, real-time capture of AI agent trace data. - Zero-Trust Cryptographic Ledger: Employs append-only ledgers, cryptographic hash-chaining, and Merkle tree proofs to guarantee evidence immutability. - Regulator-Ready Auditing: Provides independent WASM verifiers for transparent, third-party proof validation without exposing sensitive payload data. - Continuous Runtime Visibility: Replaces periodic manual audits with automated, continuous decision logging and risk tracking.
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    Unity AI Gateway
    Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps.
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    MudraID

    MudraID

    Decryptogen

    MudraID is a cloud-based identity and trust platform for teams building AI agents, APIs and agent-enabled services. It gives agents distinct cryptographic identities, supports scoped and time-limited delegation, and checks requests against policy, trust and revocation state at action time. Teams can issue, rotate, suspend and revoke agent credentials, enforce per-action permissions, and trace delegation chains. The platform supports OAuth 2.0, OIDC, JWT/JWKS, MCP authorization and signed A2A Agent Cards. Developer options include a Python agent SDK and FastAPI/Starlette middleware; a hash-chained audit trail records decisions and related events. MudraID is intended for product, platform, security and IAM teams that need to govern agent-to-agent and agent-to-service interactions.
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    Barndoor.ai

    Barndoor.ai

    Barndoor.ai

    Barndoor is a data and access management layer designed to secure how artificial intelligence systems interact with enterprise data and infrastructure. It acts as a centralized control plane that governs AI agents and applications, allowing organizations to define policies, enforce access rules automatically, and maintain full visibility over how AI tools operate across business systems. Instead of relying only on traditional identity-based permissions, Barndoor introduces context-aware governance, enabling administrators to control what actions an AI agent can perform based on factors such as the user operating the agent, the system being accessed, the type of data involved, and the specific task being attempted. It evaluates every AI request in real time and enforces policies before an action is executed, preventing unsafe or unauthorized operations from reaching internal systems or modifying sensitive information.
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    OpenWeave

    OpenWeave

    Seven Olives

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

    Tuning Engines

    CerebrixOS

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

    trail

    trail

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

    TokenTally

    Nelio Tech LLC

    TokenTally is a self-hosted AI governance platform for organizations managing employee use of generative AI tools. It provides a central control layer for approved AI services, with tools to set access policies and spending budgets, improve prompts, and monitor usage and costs. Administrators can oversee how teams use AI providers and apply organization-wide rules, while employees work with permitted tools through the managed environment. The product is intended for company owners and operations leaders, IT and security teams responsible for evaluation and deployment, and IT service providers managing client environments. TokenTally is installed on an organization's own infrastructure, and its plans are organized by employee capacity, with tiers for smaller deployments through enterprise use. It can support businesses seeking centralized visibility and control over AI adoption, expenditure, and company-data handling.
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    MintMCP

    MintMCP

    MintMCP

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

    CloudEagle.ai

    CloudEagle.ai

    CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and SaaS Security platform that gives enterprises one command center to discover, secure, govern, and optimize their entire SaaS and AI stack, including AI usage control and both human and non-human identities. CloudEagle governs applications, identities, and non-human identities (service accounts, bots, API keys, AI agents) continuously, rationalizing redundant tools and tracking security posture against frameworks like NIST 800. Onboarding takes 30 minutes; savings and governance start day one. To date: $50B+ in spend processed, $3B+ saved. With 500+ integrations, CloudEagle eliminates shadow SaaS and AI, enforces AI usage policies, and secures non-human identities. Slack-enabled, no-code workflows automate onboarding/offboarding, access reviews, license harvesting, and just-in-time access, while an autonomous agent triggers renewals and routes approvals through Slack, Jira, or ServiceNow.
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    AICtrlNet

    AICtrlNet

    Bodaty LLC

    AICtrlNet enforces AI governance instead of only observing it. Unlike tools that score or monitor AI risk, it runs the work — orchestrating AI agents, humans (as first-class agents, not just approval gates), and enterprise systems under a unified governance model. Model-independent across OpenAI, Claude, Gemini, and local runtimes (Ollama, vLLM). A 6-phase Control Spectrum sets autonomy per workflow and agent. Ships 43 role-configured agent templates and 177+ workflow templates across 41 industry packs. Runs n8n, Zapier, and Make as nodes rather than replacing them. Supports HIPAA, GDPR, SOC2, and EU AI Act via design-time governance and audit-grade accountability. Open-core editions: Community (MIT, free, self-hostable) ships the core platform; Business adds ML-enhanced governance and risk scoring; Enterprise adds multi-tenancy and federation. Access via the HitLai visual no-code interface, REST API, or MCP.
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    AI Sigil

    AI Sigil

    AI Sigil

    AI Sigil is an AI governance, risk and compliance platform. It carries a maintained library of 28 AI regulatory frameworks: the EU AI Act plus 27 national and state AI laws. You register each AI system with its components (use cases, models, data, interfaces, actions), and the platform works out which regulations apply, classifies the system by role and risk tier, and derives the obligations, recomputing them whenever the system changes. Obligations become requirements and controls, split organisation-wide and system-level, each with an owner, status, evidence and review frequency, alongside a risk register with mitigations. Assessments and questionnaires run on a recurrence cadence, keep a full answer history, and can be shared with vendors or external assessors without an account. Output is a regulator-ready report assembled only from recorded data and sealed with a fingerprint, backed by a full activity trail. Multi-entity, role-based access, REST API and MCP server, six languages.
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    OpenBox

    OpenBox

    OpenBox

    OpenBox is an enterprise-grade AI governance platform designed to make AI systems transparent, auditable, and safe to deploy at scale by enforcing real-time oversight across every agent action and system interaction. It provides a unified governance layer that connects identity, policy, risk, and compliance into a single runtime system, eliminating the fragmentation typically found across multiple tools and enabling organizations to standardize control over AI behavior. It integrates directly into existing AI workflows through a lightweight SDK, requiring no architectural changes, and immediately delivers full visibility into how AI agents operate, make decisions, and interact with other systems. OpenBox monitors and evaluates every action before execution, applying policy enforcement and regulatory checks in real time to prevent non-compliant or risky behavior rather than reacting after errors occur.
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    Veeam DataAI Command Platform
    Veeam DataAI Command Platform is a unified platform for DataAI security, governance, privacy, compliance, and resilience. The platform is powered by Veeam DataAI Command Graph, which maps relationships across data, identities, systems, backups, and AI to create a single layer of intelligence. It helps organizations understand data exposure, identity risk, AI system activity, compliance requirements, and recoverability across complex environments. Veeam DataAI Command Platform supports capabilities for data exposure risk, AI agent governance, identity and access governance, privacy and compliance, and data resilience. Its AI agents help teams ask questions and get answers across their environment without manual searching or waiting on analysts. Built for the agentic era, Veeam DataAI Command Platform helps organizations reduce risk, respond faster, and maintain trust across data and AI systems.
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    elsai

    elsai

    elsai

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

    Coder

    Coder

    Coder is the AI software development company leading the future of autonomous coding. We empower teams to build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers. Our mission is to make agentic AI a safe, trusted, and integral part of every software development lifecycle. Coder’s self-hosted Cloud Development Environment (CDE) is the foundation for deploying agentic AI in the enterprise. It provides a secure, standardized, and governed workspace to deploy autonomous coding agents alongside human developers, accelerating innovation while maintaining control and compliance. Coder's isolated, policy-driven environments improve productivity, cut cloud costs, and reduce data risks. Developers transition to AI at their own pace using their own tools. Platform and security teams can govern, audit, and manage a great developer experience at scale.
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    Holiday

    Holiday

    Holiday

    Holiday gives organisations consistent governance and control over AI across their existing business systems. Hard-coded AI boundaries are enforced by software, not prompts: every tool call is checked twice, against what the AI is allowed to do and what the person asking is allowed to do, with no session-level trust. Services: 1. AI Governance - permissions, budgets, audit trail and reporting for every AI identity. 2. Our Environment - a single-tenant environment in your chosen AWS region that connects business systems and hosts Digital Employees. 3. AI Security - zero-trust checks on every AI tool call, against both AI and user permissions. 4. Business Chat - permissioned answers across email, CRM, documents and finance. 5. Shadow Agent Detection - finds unapproved AI tools and unregistered agents using identity and access activity.
    5.0 out of 5 stars 1 Rating for Holiday
    Starting Price: $1,000 AUD/month
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    elsai Foundry
    elsai Foundry is a governance-first platform to design, deploy, and operate AI agents for regulated enterprise workflows. It embeds compliance guardrails, PHI/PII redaction, prompt management, and real-time ARMS observability into every workflow. Its architecture spans multi-agent orchestration, policy and approvals enforcement, human-in-the-loop controls, domain intelligence, and pre-built agents across healthcare, life sciences, insurance, procurement, and supply chain.
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    AgentShelf

    AgentShelf

    AgentShelf, Inc.

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

    Dymium

    Dymium

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

    NewCore

    NewCore

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

    Modulo

    Modulo

    Modulo is a self-hosted platform for building and governing software development lifecycle pipelines that use AI agents. Teams compose visual workflows from agent, connector, approval-gate, and human steps, then define typed inputs and outputs, permissions, and review points for each handoff. Pipelines can coordinate existing agents with source-control, ticketing, messaging, CI/CD, monitoring, and knowledge tools, while schema checks and human approvals control how work proceeds. The platform records run inputs, outputs, model and prompt versions, evaluations, and governance decisions in an audit trail. Teams can set per-agent token budgets, pipeline spending limits, and organization-wide pauses. Modulo is intended for engineering and platform teams that want to govern agent-assisted software delivery, including code changes, pull requests, reviews, and related development workflows on infrastructure they operate.
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    Usermode

    Usermode

    Usermode

    Most enterprise AI fails because the model cannot see the data locked inside operational systems. Usermode fixes that: it wraps the systems you already run — ERP, property management, inspection databases, Microsoft 365 — as custom MCP integrations, then deploys a governed fleet of named specialist agents for credit control, compliance, management accounts and bid writing, working across email, WhatsApp and Teams. Every action passes a deny-by-default policy engine; every send needs an approval; a tamper-evident ledger records it all. Live in production across property management and industrial inspection, supervising 3,300+ residential units. You own the IP.
    Starting Price: £2,500 (AI Readiness Audit)
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    Parahelp

    Parahelp

    Copilot Labs

    Parahelp is a cloud-based AI customer support platform that helps teams build and operate agents to resolve customer requests end to end. Its Customer Agent can respond through email, live chat, and Slack, or work with an existing ticketing system. An Internal Agent helps teams build, test, and refine the customer agent using historical tickets, company context, and scoped connections to business tools. Teams can review test simulations, approve agent actions, and choose which types of replies or actions run autonomously. This supports workflows such as checking account or subscription details, researching product issues, and carrying out permitted tasks like refunds. Parahelp is intended for customer-support teams that need AI agents grounded in their products, policies, and operational systems.
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    Openlayer

    Openlayer

    Openlayer

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

    Noon Security

    Aikido Security

    Noon is a workforce security platform that combines email threat protection, device security, AI-use governance, phishing simulations, and employee training. It connects with Google Workspace or Microsoft 365 to identify phishing, business email compromise, impersonation, and malicious messages, with review and remediation controls. Its endpoint agent protects employee devices by blocking malware, risky browser extensions, and websites, and by detecting suspicious activity and exposed secrets. AI governance features inventory AI tools and MCP connections, apply usage policies, and help limit sensitive data sharing. Security teams can run role- and behavior-based simulations, assign short follow-up lessons, and review employee risk and activity dashboards. The platform is designed for organizations seeking to protect employee inboxes and devices while managing workplace AI use and security awareness.
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    Domino Enterprise AI Platform
    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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    Token Security

    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.