Best AI Agent Security Platforms - Page 2

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.

Pi is an agentic product security platform that builds institutional security memory so organizations can find, fix, and prevent recurring vulnerabilities without slowing development. It continuously ingests codebases, past incidents, pentest reports, tickets, and other security history into a living inventory, giving the system context about how the organization builds and secures software. When a vulnerability is found, Pi traces it to its architectural root cause, searches for variants across the codebase, and helps close the entire class of issue rather than treating each finding independently. Remediation is generated in the context of the organization’s languages, architecture, and conventions, then delivered directly into developer workflows. What the system learns becomes prevention guardrails that can be applied in IDEs and pull requests during design and coding, blocking known insecure patterns before they reach production.

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.

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.

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.

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.

Standardize your AI governance efforts across diverse stakeholders, ensure regulatory readiness of your governance processes, and measure and manage your AI risks and compliance. Go from fragmented teams and processes to a centralized repository of trusted governance that makes it easy to ensure all of your AI/ML projects are being governed effectively. Stay up-to-date with the latest regulations and standards with AI Policy Packs that meet current and emerging regulations. Credo AI is an intelligence layer that sits on top of your AI infrastructure and translates technical artifacts into actionable risk & compliance insights for product leaders, data scientists, and governance teams. Credo AI is an intelligence layer that sits on top of your technical and business infrastructure and translates technical artifacts into risk and compliance scores.

Protect AI performs security scans on your ML lifecycle and helps you deliver secure and compliant ML models and AI applications. Enterprises must understand the unique threat surface of their AI & ML systems across the lifecycle and quickly remediate to eliminate risks. Our products provide threat visibility, security testing, and remediation. Jupyter Notebooks are a powerful tool for data scientists to explore data, create models, evaluate experiments, and share results with their peers. The notebooks contain live code, visualizations, data, and text. They introduce security risks and current cybersecurity solutions do not work to evaluate them. NB Defense is free to use, it quickly scans a single notebook or a repository of notebooks for common security issues, identifies problems, and guides your remediation.

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.

WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or security. Monitor and audit AI activity and risk with full visibility into applications and usage. Enforce consistent, acceptable use policy on data, topics, and usage. Secure your chatbots, data, and employee activity from misuse and attacks. WitnessAI is building a team of experts, engineers, and problem solvers from around the world. Our goal is to create an industry-leading AI security platform that unlocks AI’s potential while minimizing its risk. WitnessAI is a set of security microservices that can be deployed on-premise in your environment, in a cloud sandbox, or in your VPC, to ensure that your data and activity telemetry are separated from other customers. Unlike other AI governance solutions, WitnessAI provides regulatory segregation of your information.

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.

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.

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

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.