Flint AI
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.
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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.
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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.
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Opal Zero
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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