Platform brings complete visibility and control to the growing agent AI attack surface
PointGuard AI today announced expanded AI Discovery capabilities that protect large-scale language models and AI platforms, as well as AI agents, Moltbot (OpenClaw), and Model Context Protocol (MCP) servers. As enterprises rapidly deploy agent AI systems that autonomously acquire data, invoke tools, and execute workflows, PointGuard AI provides comprehensive visibility across the entire AI ecosystem.
AI risks are rapidly expanding with the integration of agents, Moltbots, and MCPs. We’ve expanded AI Discovery to give organizations complete visibility across their entire AI ecosystem. ”
— Warlu Kothapalli, CTO
AI risks are no longer limited to model output. Agents can independently access enterprise systems, connect to sensitive data, and perform actions through MCP servers. Moltbot brings an additional level of complexity to the ecosystem by enabling distributed and coordinated AI activity across the environment. This evolution dramatically expands the attack surface and increases the potential attack radius of a single misconfigured or unmanaged AI component. Security teams now need to manage interconnected AI supply chains, not just standalone models.
Complete AI discovery and AI-BOM visualization
PointGuard AI Discovery continuously identifies and inventories models, agents, Moltbots, MCP servers, datasets, notebooks, endpoints, and external AI services across code repositories, cloud environments, and runtime infrastructure. The platform scans source code to discover AI components early in development, identifies calls to external AI services and agent frameworks, and flags hard-coded secrets and exposed credentials associated with AI systems.
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PointGuard provides continuous visibility across both development and production environments through integration with leading AI platforms and agent frameworks, including Copilot, AWS, Google, OpenAI, Claude, CrewAI, and LangGraph. Discovered AI assets are mapped to business applications and owners, providing a clear application-level AI risk posture.
PointGuard also provides SBOM-style lineage tracing across models, agents, Moltbots, datasets, and MCP servers to create a comprehensive AI bill of materials. This AI-BOM enables organizations to understand dependencies, external integrations, and supply chain relationships before those connections create security or compliance risks.
The key differentiator is the Trusted MCP Directory. This directory assesses MCP server vulnerabilities, malicious prompts, security leaks, licensing posture, publisher trust, and deployment maturity. Organizations can assess the security and operational integrity of MCP services before integrating them into agent workflows. This level of intelligence is critical as agents increasingly rely on external tools and protocols to perform business-critical tasks.
“AI architectures are changing faster than traditional security programs can adapt,” said Warlu Kothapalli, Chief Technology Officer, PointGuard AI. “Our customers are deploying agents, Moltbot, and MCP integrations at scale. We’ve extended AI Discovery to give them complete visibility across their AI ecosystem before risks turn into impacts.”
PointGuard AI enables enterprises to deploy agent AI faster, with more control, and with more confidence by providing unified detection, comprehensive AI-BOM intelligence, and deep insights into the MCP ecosystem in a single platform.
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