Alternatives to AgentFox
Compare AgentFox alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to AgentFox in 2026. Compare features, ratings, user reviews, pricing, and more from AgentFox competitors and alternatives in order to make an informed decision for your business.
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BAND
BAND.ai
BAND builds enterprise-grade interaction infrastructure for distributed AI agents. Its platform enables real-time, multi-peer collaboration across agents and humans, while providing a runtime control plane that enforces policy, authority boundaries, and visibility across heterogeneous systems. BAND supports developers, engineering teams, and enterprise platform leaders operating multi-agent ecosystems across internal systems, SaaS platforms, and partner environments. -
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Vulnify
Vulnify
Vulnify is runtime authorization for AI agents. Before a sensitive tool call runs, your code calls check() and gets ALLOW, REVIEW or BLOCK, with a 0-100 risk score and the reasons: action, data sensitivity, destination, volume. REVIEW pauses only that action until a person approves. Start in monitor mode, fail closed by default. Policies as code, Node and Python SDKs (MIT) with LangChain, MCP, CrewAI and LangGraph adapters, and a hash-chained audit log with JSON/CSV export. Free plan available.Starting Price: Free plan available -
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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.Starting Price: $0 -
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NVIDIA Open Agent Safety Platform is an open reference design for continuously monitoring and governing AI agent behavior, helping organizations keep agents isolated, observable, auditable, and within defined operational boundaries. It combines runtime governance, continuous threat detection, and hardware-isolated policy enforcement to secure enterprise AI agents from testing through deployment. NVIDIA OpenShell provides an open-source runtime that separates how agents execute from how they reach data, tools, and external systems, using sandboxed execution and deterministic, zero-trust policy enforcement to control what agents can see, do, and interact with. Policies are enforced outside the agent process, helping limit the impact of unexpected behavior. NVIDIA Sentry adds an independent security layer that observes agent requests and responses, establishes verifiable agent identities, continuously governs access to data, tools, APIs, and services, and can quarantine agents.
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5
Eyrane
Eyrane
Eyrane is an AI agent security platform in development for security and engineering teams responsible for agents and automated workflows. It is designed to help organizations discover agents, models, tools, MCP servers, identities, credentials, permissions, and connected systems, then map the access paths between them. The platform is intended to apply runtime policies that allow, require review of, or block agent actions according to identity, permissions, tools, and data sensitivity. Eyrane also describes testing agent behavior against prompt injection, tool misuse, privilege abuse, data exfiltration, and MCP-related scenarios. Its proposed use cases include agent inventory and access review, runtime oversight, MCP security, and AI red teaming. Eyrane is designed for security and engineering teams deploying AI agents across business applications and workflows. -
6
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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Harden
Harden
Harden AIF is an agent endpoint security platform for AI coding agents. It evaluates supported agent tool calls before execution using the developer’s intent, session context, organisational policy, and the effect of the proposed action. Harden helps protect against destructive commands, unauthorized access, unintended data transfers, secret exposure, privilege misuse, and other unsafe agent actions. Legitimate actions can proceed normally, sensitive data in supported flows can be safely redacted, and actions that fall outside the developer’s intent or authority are blocked before execution. Harden works across popular coding agents and agentic development tools including Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, providing a consistent security layer across the agent ecosystem. -
8
Cortex Agentic Endpoint Security
Palo Alto Networks
Palo Alto Networks Cortex Agentic Endpoint Security (AES) is an AI-native endpoint security platform designed to protect enterprise devices from risks associated with autonomous AI agents and modern software applications. The platform continuously discovers AI agents, local models, browser extensions, IDE plugins, Model Context Protocol (MCP) servers, and other software components operating on endpoints. Its context-aware risk analysis evaluates software dependencies, permissions, behaviors, and potential security exposures to help organizations prioritize threats. Cortex AES provides automated governance policies and security guardrails that control agent interactions and restrict potentially unsafe software. Its real-time prevention capabilities block malicious agent actions, prompt injection attacks, unauthorized data access, and risky software execution before they cause damage. -
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Flint AI
SandboxAQ
Flint AI is a local-first, framework-agnostic AgentOps CLI that helps developers determine whether an AI agent is reliable before it reaches production. One command, flintai scan, analyzes Python source code for security vulnerabilities, misconfigurations, risky tool access, missing guardrails, and quality issues, then uses AI reasoning to triage likely false positives. A second command, flintai eval, sends functional and adversarial prompts to a running agent and scores its responses across more than 35 built-in evaluations, including factual accuracy, instruction adherence, prompt injection resistance, jailbreak resilience, and other runtime behaviors. Each agent receives a reliability score, with findings mapped to OWASP Agentic Security Initiative risks ASI01 through ASI10 and severity scored using CVSS v4.0. Flint AI works with agent frameworks and SDKs including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen.Starting Price: Free -
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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. -
11
Mindgard
Mindgard
Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. Built for security and engineering teams accountable for AI in development and production, it continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validate whether guardrails and controls hold, and show teams how to close each gap. AI red teaming tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, and map findings to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Unlike traditional AppSec tools or manual penetration testing, Mindgard cuts AI risk assessment from weeks to hours, pinpoints and validates defensive gaps, and supports continuous policy compliance as AI systems change. Capabilities: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance. SOC 2 TypeStarting Price: Contact vendor -
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Bitdefender AI Guardian
Bitdefender
Bitdefender AI Guardian is a macOS security application for people who use autonomous AI agents, including developers and other technical users. It installs a local background service and command-line interface that checks agent activity against user-defined policies. The software inspects prompts, tool calls, MCP servers, installed skills and file access, and can allow, flag or block actions. It can scan skills and MCP servers, help keep credential paths away from agents, and record decisions in an encrypted local audit log for review. Users can also receive private direct-message alerts through a selected chat platform. In its beta, AI Guardian supports Claude Code, OpenClaw and Hermes Agent and is offered free for macOS; the company describes additional operating-system support as planned. It is intended to add controls around agent actions rather than replace an AI model, agent framework or conventional antivirus.Starting Price: $0 -
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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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Pillar Security
Pillar Security
Pillar Security is a unified AI security platform for securing the agentic workforce across the entire AI lifecycle, from development to deployment and runtime protection. It connects business context across discovery, testing, and protection so security intelligence compounds across AI applications, agents, models, prompts, frameworks, tools, MCP servers, skills, coding agents, SaaS, cloud, code, and endpoints. Pillar helps organizations discover and manage AI assets everywhere, including shadow AI and unapproved systems, assess supply chain and posture risks, map agentic attack surfaces, and validate the vulnerabilities that actually matter. Its AI Security Posture Management capabilities analyze connected agents, tools, permissions, data sources, prompts, models, and supply chain components to expose risky paths, policy violations, misconfigurations, coding agent risks, and blast radius when a single component is compromised. -
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F5 AI Guardrails is a runtime AI security solution designed to protect AI models, applications, agents, and connected data throughout deployment and operation. The platform helps organizations defend against adversarial threats such as prompt injection, jailbreak attacks, harmful outputs, and unauthorized AI behavior. It provides real-time monitoring and enforcement of security policies to prevent data leakage, compliance violations, and misuse of AI systems. Organizations can implement predefined guardrails or create customized policies tailored to specific business requirements and AI use cases. The platform also delivers observability, auditing, and governance capabilities that help organizations maintain visibility into AI interactions and regulatory compliance. By combining threat protection, data security, and AI governance, F5 AI Guardrails helps enterprises operate AI systems more safely and responsibly.
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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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Tragentics
Tragentics
Tragentics is the AI agent security platform that authenticates every agent, injects keys from an encrypted Credential Vault so agents never hold them, routes every call through a content-blind relay, and records a metadata-only audit trail — across platforms and protocols. Tragentics runs no inference and executes no agent logic. It never reads or stores what your agents say. Every agent gets a permanent ID and an Ed25519 identity, keys are encrypted at rest with AES-256-GCM, and every call is authenticated, rate-limited, and recorded as metadata only — never payloads. Protocol-agnostic: it routes MCP, A2A, ACP, OpenAI, ANP, and DID traffic for the agents you already own.Starting Price: $39/month -
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AIM Intelligence
AIM Intelligence
AIM Intelligence is an enterprise AI security platform built to keep AI under control as agents make decisions, call APIs, and take actions across real business systems. It attacks AI before real attackers do and enforces real-time guardrails to keep every agent operating within enterprise policies. Its integrated solutions cover automated AI red teaming, real-time guardrails, and security framework consulting, helping organizations resolve complex AI risks across the full development and production lifecycle. Stinger automates AI vulnerability discovery by generating millions of attack scenarios, supporting end-to-end agentic red teaming beyond prompt-level attacks, testing across text, image, audio, video, and physical AI, and enabling business logic-based custom vulnerability testing. Starfort enforces real-time AI guardrails by detecting and protecting sensitive data such as PII and trade secrets, controlling abnormal API calls from autonomous agents. -
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Lasso Security
Lasso Security
Lasso is an AI security platform designed to help enterprises securely adopt, govern, and protect AI agents and applications throughout their lifecycle. The platform provides capabilities for AI discovery, risk assessment, automated red teaming, runtime protection, and AI detection and response within a unified solution. Organizations can inventory AI assets, map models and system prompts, monitor policy compliance, and gain visibility into AI usage across the enterprise. Lasso focuses on intent-based security, analyzing the behavior and objectives of AI systems rather than relying solely on traditional rule-based approaches. Its platform helps organizations address risks such as prompt injection, model vulnerabilities, unauthorized AI usage, and evolving threats targeting agentic systems. By combining governance, security monitoring, and proactive protection, Lasso enables enterprises to scale AI adoption while maintaining strong security and compliance standards. -
20
The MCP Census
MCP Census
The MCP Census is a web-based evidence-checking service for developers and teams that use Model Context Protocol (MCP) servers. It compares server listings with public signals such as repository identity and status, package availability, hosted endpoint health, registry records, and vulnerability advisories. Users can look up a server or submit an MCP configuration and receive PASS, REVIEW, BLOCK, or UNKNOWN results under a versioned policy, with reasons and supporting evidence. The service is accessible through a website, REST API, and remote MCP server, and can be used in agent workflows and CI checks for configuration changes. Setup guides connect it to coding agents and developer tools. MCP Census is an initial public-evidence gate, not a malware scanner, penetration test, or guarantee that a server is safe to run.Starting Price: $0 -
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AI Security Guard
AI Security Guard
AI Security Guard is a multi-faceted platform for securing autonomous AI, combining a protection SDK, product tooling, education, and original research on the agentic future. - Protection SDK: Integration-friendly API wrapper designed to shield AI agents from jailbreaks, prompt injection, and other harmful content before it reaches your models. - AgentGuard360: Built on the API: Intercepts AI traffic in real time before malicious content reaches your agents. Two-tier content scanning, supply chain protection, and device hardening in one tool. Privacy-first: Content stays local unless you request premium analysis. - Research: Original analysis on the autonomous AI future and the security, privacy, and safety issues that follow, including reports like Shipping the Future. -
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Opal Zero
Opal Security
Opal Zero is a just-in-time access governance platform for AI agents that inventories every agent, maps it to an accountable owner, decides each access request, and enforces the decision in the MCP gateway already in place. It gives organizations one inventory across identity providers and AI platforms such as Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, showing what every agent can access and who owns it. Risk Center surfaces access that is off-purpose, unowned, or standing and routes issues to the appropriate owner with an inline fix. Paladin evaluates requests using policy and context, identifies the least-privileged path, respects owner boundaries, and shows the reasoning behind each decision. Policy Insights uses real agent behavior to identify unused access and opportunities to improve access policy instead of relying on one-off remediation. Gateway Enforcement writes approved decisions as scoped, time-bound policy into existing gateways. -
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TAWA GUARD
Tawa Guard
TAWA GUARD is an AI security service for applications that use large language models and AI agents. It evaluates prompts, documents, emails, web pages and tool outputs before they reach a model, returning an allow, flag or block decision according to configured policies. Its API and documented developer integrations let teams add content checks to agent workflows. An administrative dashboard records decisions and explains why content was allowed or blocked, and security events can be exported to SIEM platforms such as Splunk, IBM QRadar, Microsoft Sentinel and Elastic. The service is designed for teams building or operating internal or customer-facing AI assistants and agents that process user-supplied or external content. A free Developer tier is available with an allowance of up to 5 million Tawa Units per month; a self-hosted Enterprise deployment is available by arrangement.Starting Price: £0/month -
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AgentShield
AgentShield
AgentShield is a next-generation identity platform built to verify both human users and AI agents acting on their behalf. It enables organizations to confirm who an agent is, whether the person behind the agent has provided explicit authority, and that the agent is trustworthy, all through APIs and JavaScript integrations. The product includes tools that detect agentic sessions on a website. and enforces identity and permission checks for agent-to-agent or agent-to-service interactions under the open Model Context Protocol Identity (MCP-I) specification. With KYA, businesses can securely manage agent identities and permissions, institute audit-trails, automation workflows, and finely-tuned access control for autonomous systems, thereby protecting themselves from misuse of digital identities and ensuring transparency when AI systems act on behalf of users. -
25
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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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.Starting Price: $99/month -
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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.Starting Price: $2000/month -
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TrojAI
TrojAI
TrojAI is an AI security platform that helps organizations deploy and manage AI agents and applications with greater confidence and protection. The platform focuses on identifying vulnerabilities, preventing prompt injection attacks, safeguarding sensitive data, and securing AI behavior across enterprise environments. TrojAI provides both build-time and runtime security solutions that help organizations assess AI models and protect applications from emerging threats. Its technology continuously monitors AI interactions to detect unsafe actions, unauthorized access attempts, and malicious manipulations. The platform supports compliance with leading security frameworks and standards while integrating across different models, cloud providers, and enterprise infrastructures. Designed for enterprise-scale deployments, TrojAI enables organizations to innovate with AI while maintaining strong governance and security controls. -
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Constellation Gate AI
Constellation Gate AI
Constellation Gate AI is a drop-in defense layer for AI agents, built to sit between the agent and the model while screening every request for attacks and leaks. Gate acts as an inline gateway for coding agents and model APIs, protecting workflows without requiring major code changes. Users can point existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode at Gate and inherit prompt-injection defense, secret scanning, PII redaction, token optimization, and a verifiable audit trail. The platform is designed around three real risks: prompt injection, credential and PII leakage, and hijacked tool calls. Instead of relying on the model to defend itself, Gate blocks attacks before they reach the model, redacts secrets before responses return, and stops attacker-controlled tool outputs before an agent acts on them. Gate accepts the same calls an agent already makes, forwards them to the model, scans every call and response in both directions. -
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Noma
Noma Security
Noma Security is the complete enterprise AI security platform designed to deliver confidence in agentic AI at scale. Noma Security was named a Gartner Cool Vendors in AI Security, 2025 for delivering deep visibility and AI discovery, agentic risk mapping, security posture management, automated AI red teaming, and AI runtime protection all in one platform. With seamless integration to your AI stack and workflows, and alignment with regulatory compliance frameworks, Noma Security helps teams embrace AI innovation while addressing the unique threats posed by rapid enterprise AI adoption. -
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General Analysis
General Analysis
General Analysis is an AI security platform that helps security teams adversarially test, monitor, and protect AI agents and systems in production. It is built to help organizations understand AI risk, prevent incidents, and secure real AI deployments across employee copilots, coding agents, customer support agents, healthcare assistants, legal assistants, financial copilots, creative pipelines, and other agentic workflows. It maps AI applications and agents across prompts, retrieval, tools, MCP servers, browser actions, permissions, repositories, cloud accounts, SaaS workflows, and business processes, then generates context-aware attacks that expose system-level risks. Its automated red teaming uses attacker models that adapt to target responses and produce multi-step exploit chains, helping teams uncover vulnerabilities that static prompt sets or endpoint-only tests may miss. -
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CyCraft XecGuard
CyCraft
XecGuard is CyCraft’s LLM Firewall for trustworthy, agentic AI, designed to protect enterprise AI systems from prompt injection, jailbreak, prompt extraction, data leakage, unsafe outputs, and agentic workflow risks. Built on CyCraft’s red teaming and blue teaming experience across government, finance, and high-tech manufacturing, XecGuard goes beyond model-level defenses by combining AI guardrails, cybersecurity controls, compliance protection, and risk response strategies for real-world enterprise AI adoption. It is positioned as a plug-and-play LoRA security module that can strengthen LLM defenses without requiring changes to the underlying model architecture, helping teams add protection quickly while preserving performance. XecGuard is built on proprietary security datasets and multi-stage fine-tuning techniques, enabling LLMs to better resist adversarial prompts, malicious manipulation, and attempts to extract protected instructions or sensitive information. -
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Bitdefender VPN for AI Agents
Bitdefender
Bitdefender VPN for AI Agents is an installable macOS utility that routes network requests from supported AI agents through Bitdefender VPN servers. It connects Claude Desktop, Cursor, Codex, and OpenCode through Bitdefender MCP tools. Each routed prompt receives a separate encrypted connection and isolated container, which closes when the prompt ends; users can select an exit location for regional testing. The product is intended for individual developers and freelancers using agents for web research, quality assurance, and comparison tasks. It is not a device-wide VPN: traffic outside the supported agent tools is not covered, and the VPN does not conceal prompts from the AI service provider. The beta installer requires macOS 13 or later on Apple silicon; Intel Macs are not supported. The vendor says Windows support is planned. -
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Caterfli
Caterfli
Caterfli is a hosted AI-agent platform that connects to PostgreSQL or MySQL databases, REST APIs, OpenAPI services, and MCP servers. It discovers available tables, endpoints, and tools, then drafts agents that users can review and configure. Teams can ask questions or request actions in natural language through web chat; Telegram, Slack, and WhatsApp access is available on eligible plans. Agents can read data, create or update records, run reports, and delegate work to other agents. Workspace roles and permissions limit available actions, and policy checks validate each tool call and its arguments. Destructive or high-risk operations can pause for human approval. Execution traces and change histories support review. Caterfli is for teams seeking a conversational interface to existing business systems without migrating their data. A free plan includes one connection and one agent, with paid plans offering higher limits and additional features.Starting Price: $19/mo -
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Mountain Theory
Mountain Theory
Mountain Theory is the antivirus for AI. It checks every action an AI agent takes before it runs, against rules written in plain English, then allows it, holds it for a person, or blocks it. No signatures to update. Every decision is logged for your auditor. It works with any AI you already use, from coding agents like Claude Code and OpenAI Codex to models in your own environment or the cloud. When an agent tries to work around a block, the workaround is stopped too. When an agent drifts off the task it was given, that is caught. New bad behavior is stopped the day it appears, with no new rule needed. It keeps personal data from leaving your environment and blocks instructions hidden in emails and documents. Rules are written in plain English, with no code. Every decision is logged for your auditor. It works with any AI you already -
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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.Starting Price: $20/month -
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Peta
Peta
Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.Starting Price: Free -
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InstaVM
InstaVM
InstaVM is a production sandbox and cloud built for AI agents, giving agents instant computers with runtime, storage, networking, secrets, and policy. It goes beyond basic sandboxes by running untrusted code inside hardware-isolated real VMs rather than containers, helping teams give AI agents secure execution environments with full Linux filesystems, networking, package management, RESTful API access, and persistent state. InstaVM supports snapshots, allowing users to fork any sandbox and rewind any run, while persistent volumes keep state beyond each execution. Egress control lets teams allowlist what calls home, secrets injection and Vault help protect sensitive credentials from prompt injections, and public URL deploys can expose any port to the public web. It is built for agent patterns such as code interpreters, deploy agents, deep research agents, AI evaluations, reinforcement learning, computer use, and vibe coding apps.Starting Price: $100 per month -
39
Bevel
Bevel
Bevel is a vendor-agnostic, Git-backed control plane for enterprise AI agents, where an organization’s agents, context, skills, tools, permissions, and identities are defined as files the company owns in its own infrastructure and served to any agent runtime over MCP. Context is stored as typed knowledge nodes with provenance for every fact, including where it came from, who last changed it, and when it was verified, then compiled into a graph that can be traversed, updated, and used for dashboards. Skills are written as plain Markdown procedures that process owners can read, review in diffs, and port across runtimes. Tool manifests define available capabilities, while secrets stay in a vault and access rules determine which agents may read specific files or call endpoints. Each agent has its own identity, credentials, and scope so actions remain attributable. -
40
OpenHarness
OpenHarness
OpenHarness is an open-source TypeScript SDK for developers building custom AI-agent applications, including coding agents, CLI tools, and web-based assistants. It provides stateless agent execution, explicit conversation-state handling, streaming events, composable middleware for retries, persistence and context compaction, hierarchical subagents, and permission-controlled tools. Developers can connect model providers through the Vercel AI SDK, add external capabilities through Model Context Protocol (MCP), and use filesystem or shell tools through configurable providers. The SDK also offers React hooks and Vue composables for streaming agent output into application interfaces. OpenHarness is installed as an npm package and is intended to be embedded in projects running on Node.js or edge runtimes; it is a developer library rather than a hosted end-user agent service. -
41
Agent Builder
OpenAI
Agent Builder is part of OpenAI’s tooling for constructing agentic applications, systems that use large language models to perform multi-step tasks autonomously, with governance, tool integration, memory, orchestration, and observability baked in. The platform offers a composable set of primitives—models, tools, memory/state, guardrails, and workflow orchestration- that developers assemble into agents capable of deciding when to call a tool, when to act, and when to halt and hand off control. OpenAI provides a new Responses API that combines chat capabilities with built-in tool use, along with an Agents SDK (Python, JS/TS) that abstracts the control loop, supports guardrail enforcement (validations on inputs/outputs), handoffs between agents, session management, and tracing of agent executions. Agents can be augmented with built-in tools like web search, file search, or computer use, or custom function-calling tools. -
42
KnoxCall
KnoxCall
Every app, build pipeline and AI agent that calls Stripe, OpenAI or another third-party API needs its key, so copies of live keys pile up in .env files, CI settings, laptops and agent environments. Each copy can leak through a poisoned package, a prompt-injected agent or a compromised build, and a stolen key keeps working until it is replaced everywhere. KnoxCall keeps the real key in one place and adds it to each call on its way out. Your apps, pipelines and agents hold only a KnoxCall token. If one leaks, one click revokes it everywhere, without rotating the provider key. Every call is logged with the app or agent that made it. AI agents get spend limits, prompt checks, and redaction of the personal data KnoxCall detects. CI can use workload identity instead of a stored secret, and Enterprise adds a master key held in your own cloud account, SSO and SCIM. SDKs for Node, Python, Go, PHP, Ruby, React and the browser. Free plan, no card; paid plans from $19 a month.Starting Price: $0 -
43
Secure Traces
Secure Traces
Secure Traces is an AI-first enterprise technology company focused on agentic AI, healthcare and pharmaceutical modernization, cybersecurity, cloud infrastructure, and enterprise applications. Its services include autonomous AI agents, LLM pipelines, AI governance, 24/7 security operations, threat hunting, secure cloud modernization, Oracle platforms, and operational technology security. The company also develops healthcare, pharmacy, payer, and insurance technology solutions designed for regulated environments. Secure Traces supports HIPAA and GxP-aligned workflows and provides cybersecurity services mapped to frameworks such as MITRE. Its delivery model covers assessment, strategy, implementation, monitoring, response, and continuous optimization across complex enterprise environments. -
44
Jozu
Jozu
Jozu is an AI supply chain security platform that verifies artifacts before execution, governs agent activity at runtime, and preserves proof of what happened afterward. Jozu Hub provides a self-hosted registry for models, agents, MCP servers, and skills, centralizing each artifact with cryptographic signatures, attestations, scanning, policy controls, and audit records. Its AI-specific security analysis covers threats such as executable code hidden in model packages, backdoored weights, data poisoning, prompt injection, compromised tools, and license violations. Policies can be authored once, distributed as signed OCI artifacts, and enforced when artifacts are pulled, promoted, admitted, or executed. Jozu Agent Guard runs alongside workloads on servers, desktops, edge devices, and air-gapped systems, applying local prompt and input-output filtering, tool-access controls, approval requirements, and runtime policy enforcement. -
45
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. -
46
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. -
47
Raydo Agent OS
Rolitt
Raydo Agent OS is a desktop AI-agent application for people and teams who want to automate work across a browser, local files, and connected tools. Users can describe a task and have an agent carry out multi-step work, create or update materials, and return deliverables for review. Runs include a step-by-step activity history, and workflows can pause for human approval before an action or handoff. The product combines a desktop workspace with controls for managing agent runs and accessing local resources. Raydo offers the application for macOS and Windows, with optional cloud-based model and execution services alongside local capabilities. It is intended for general productivity and task automation rather than a single industry or department.Starting Price: $20/month -
48
CanaryVaults
CanaryVaults
CanaryVaults is a deception-based security platform for AI applications and agents. It uses decoy signals to reveal exposed credentials, data leaks, prompt injection, and suspicious agent activity. Its six components include decoy email identities; CanaryRAG, which embeds invisible, plausible false facts in documents to reveal when their contents surface in AI responses; CanaryShield, a three-layer prompt-injection firewall available as an OpenAI-compatible proxy or an API for scoring text; CanaryHoneypot, decoy AI endpoints that return synthetic data and record attacker activity; CanaryAudit, a tamper-evident log of agent actions; and CanaryAgent (early access), which provides heartbeats, skill scans, and an action timeline for OpenClaw agents. Alerts are available through email, Slack, Discord, Telegram, and HMAC-signed webhooks. API access is included on all plans. A free plan requires no credit card, and paid plans start at $12/month.Starting Price: $12/month -
49
Reflexio
Reflexio
Reflexio is an AI-agent learning platform for developers building and operating agents. It ingests agent interactions, execution traces, tool calls, and user corrections through an SDK, REST API, CLI, or supported tracing-platform connections, then extracts recurring failures into reusable playbooks and user profiles. At runtime, an agent can retrieve relevant learned guidance before responding. The Hosted Enterprise portal lets teams inspect, edit, approve, reject, search, and evaluate learnings. Reflexio helps agents apply corrections across interactions without changing model weights. Teams can use the managed cloud service, configure their own model-provider keys, or self-host in AWS, Google Cloud, or Azure. Enterprise trace imports are available from Braintrust, Langfuse Cloud, and LangSmith Cloud; Reflexio also provides a mem0 wrapper and an OpenClaw integration.Starting Price: $0/month -
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Oracle AI Agent Platform
Oracle
Oracle AI Agent Platform is a fully-managed service that enables the creation, deployment, and management of intelligent virtual agents powered by large language models and integrated AI technologies. Agents can be set up through a simple few-step process, and can orchestrate tools such as natural‐language-to‐SQL conversion, retrieval-augmented generation from enterprise knowledge bases, custom function or API calling, and even the ability to coordinate sub-agents. They support multi-turn conversational experiences with context retention across sessions, enabling agents to handle follow‐up questions and maintain personalised, consistent interactions. Built-in guardrails help enforce content moderation, prompt-injection prevention, and protection of PII (personally identifiable information), while optional human-in-the-loop workflows allow real-time supervision and escalation.Starting Price: $0.003 per 10,000 transactions
