🚀 CloudSEK becomes first Indian origin cybersecurity company to receive investment from US state fund
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See Every AI Asset. Catch Every AI Exposure. Before Attackers Do.
AIVigil is an AI-native Attack Surface Monitoring platform that continuously discovers, monitors, and secures exposed AI infrastructure, MCP servers, leaked AI credentials, vector databases, agentic workflows, and shadow AI across the internet.
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Global Enterprises and Fortune 500 companies trust CloudSEK to fortify their cybersecurity posture.
AIVigil helps organizations discover, monitor, and secure AI attack surfaces across models, prompts, APIs, and AI integrations. Built for modern AI environments with continuous AI threat detection and real-time AI security monitoring.
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Discover MCP servers,
vector stores, agentic workflows, AI Models.
Trigger alerts, reporting, and response
from a unified AI asset view.
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Score exposure using agent agency, auth state, blast radius, and live signals.
AIVigil continuously discovers, analyzes, and monitors AI attack surfaces across models, prompts, APIs, and AI integrations. Built to deliver real-time AI threat detection, AI risk visibility, and continuous AI security monitoring.
See, monitor, and secure your entire AI attack surface from a single platform.
AI attack surface management is the continuous discovery, monitoring, and reduction of security risks across an organization's AI infrastructure — including LLM applications, AI APIs, MCP servers, vector stores, agentic workflows, and model inference endpoints. It identifies AI-layer initial access vectors — such as prompt injection, model abuse, and exposed AI APIs — before attackers can exploit them and chain them into an executable attack path.
Prompt injection is an attack technique where malicious inputs override an AI model's system instructions to extract data, execute unauthorized actions, or bypass safety controls. There are two main types: direct prompt injection (user-supplied inputs that override system prompts) and indirect prompt injection (malicious content embedded in documents or external data sources that the AI model processes). AIVigil continuously monitors LLM endpoints, AI APIs, and agentic workflows for both types — identifying prompt injection vulnerabilities before they are exploited.
AIVigil discovers every component of your AI attack surface, including: MCP (Model Context Protocol) servers, vector stores and embedding databases, agentic workflows and AI agents, large language model (LLM) endpoints, AI-integrated applications and APIs, model registries, GPU clusters and AI inference services, and training data pipelines. Discovery is continuous and includes shadow AI deployments — AI systems running without security team awareness.
Traditional SAST, DAST, and vulnerability scanners were built for code-level defects in conventional software. They cannot detect prompt injection, model abuse, agent hijacking, or vector database exposures because these risks operate at the AI model and inference layer — not the code layer. AIVigil is purpose-built for the AI attack surface, monitoring the unique initial access vectors that AI systems introduce.
AIVigil identifies AI-layer initial access vectors and feeds them into Nexus AI, CloudSEK's attack path intelligence layer. Nexus AI correlates AI risks with external threat signals from XVigil (dark web, threat actor activity) and third-party supply chain risks from SVigil to produce a validated attack graph — showing exactly how attackers will chain an AI vulnerability with a leaked credential or vendor exposure into a real, executable attack path.
AIVigil is built for CISOs, heads of AI security, security operations teams, and AI/ML engineering teams at enterprises deploying AI systems at scale. It gives security leaders the visibility to answer the questions boards and regulators are now asking: what AI systems are we running, what are the initial access vectors, and how are we monitoring and managing AI-layer risk?