Javelin, a Bay Area-based AI security company, announced the launch of MCP Security on August 20, 2025, a defense-in-depth solution designed to secure the Model Context Protocol (MCP) layer, which connects AI assistants, tools, and enterprise data. This release integrates Javelin Ramparts, an MCP scanner, with Javelin MCP Runtime Guardrails for real-time policy enforcement, addressing critical vulnerabilities in agentic AI systems.
Javelin MCP Security combines pre-deployment scanning and runtime protection.
Javelin Ramparts scans for supply-chain and poisoning risks with audit-ready findings.
MCP Runtime Guardrails enforce real-time policies at the tool and data boundary.
Targets agent hijacking and indirect prompt injection threats.
Supports rapid MCP adoption while ensuring compliance and governance.
Reduces breach costs and accelerates secure AI deployment for enterprises.
As enterprises increasingly adopt MCP, a standard interface for connecting AI assistants to applications and data, new threats like agent hijacking and semantic prompt injections have emerged. These attacks, involving malicious instructions hidden in business content or third-party data, can trigger unintended real-world actions. IBM reports that 97% of AI-related security incidents lack proper access controls, and 63% lack formal governance, highlighting the urgency for robust solutions like Javelin MCP Security.
Javelin Ramparts provides a pre-deployment MCP risk assessment, scanning servers and tool manifests for supply-chain vulnerabilities and poisoning risks. It generates prioritized, audit-ready findings mapped to OWASP and MITRE frameworks, enabling enterprises to identify and mitigate risks before deployment. This shift-left approach integrates seamlessly with runtime guardrails, ensuring proactive security.
The MCP Runtime Guardrails offer real-time policy enforcement at the MCP boundary, allowing, blocking, or requiring review of agent interactions with tools and data. This protects live data flows without compromising operational efficiency, providing standardized, audit-ready evidence for compliance with regulatory and board requirements.
Javelin MCP Security delivers end-to-end protection for agentic AI systems, offering:
Risk Reduction: Blocks high-impact abuse paths like prompt injection and unsafe tool calls, strengthening AI governance.
Accelerated Deployment: Pre-deployment scanning and runtime guardrails enable secure, rapid rollout while maintaining uptime.
Compliance Assurance: Produces evidence mapped to standard frameworks, simplifying audits for regulators and stakeholders.
“Waiting for an incident to prove the need for agent security is not a strategy; it’s a cost center that erodes trust and brand equity,” said Sharath Rajasekar, CEO and Co-founder of Javelin. “MCP Security brings shift-left scanning and runtime policy to the exact moment agents connect to tools and data—closing the most vulnerable paths without slowing teams down.”
The rapid adoption of MCP, driven by its one-click install simplicity, has made it a critical component of enterprise AI ecosystems. However, evolving threats necessitate advanced security measures. Javelin’s solution aligns with the growing need for mature AI controls to reduce breach costs and ensure innovation velocity, positioning it as a vital tool for enterprises deploying agentic AI at scale.
Javelin is a venture-backed, research-driven AI security company headquartered in the San Francisco Bay Area. We safeguard every layer of modern enterprise AI—across foundation models, applications, and autonomous agents—so enterprises can scale AI safely, responsibly, and in full compliance.
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