AIVigil
AI-native attack surface monitoring platform that identifies and monitors exposed AI systems, including LLM endpoints, vector databases, and shadow AI deployments
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Picari insights
Enterprise security teams seeking visibility and protection over sprawling, externally exposed AI assets, shadow LLM integrations, and emerging agentic infrastructure.
- External AI attack surface discovery
- Model Context Protocol (MCP) server security
- Securing shadow LLM and vector database deployments
- Organizations with zero external AI or LLM footprint
- Teams looking strictly for internal code-level SAST/DAST scanner tools
- In-line data loss prevention (DLP) for standard enterprise SaaS apps
Ask about pricing, alternatives, or if AIVigil is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
AI infrastructure security monitoring
AI supply chain scanning
Prompt injection vulnerability detection
Shadow AI discovery
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
Security & compliance
Frameworks CloudSEK Research Pte. Ltd. AIVigil reports for security, privacy, and regulatory compliance.
SOC 2 Type II
AICPA security & availability audit
ISO/IEC 27001
Information security management standard
GDPR
EU data protection compliance
CloudSEK Research Pte. Ltd. AIVigil pricing and integrations
For CloudSEK Research Pte. Ltd. AIVigil integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Are you from CloudSEK Research Pte. Ltd.? Verify this profileProfile last updated on 30 September 2026 by Picari.