AI / LLM Security Course
AI / LLMs introduce novel AI risk. Learn the basics, the risks, and what you can do about it.
Model Context Protocol
MCP servers provide another entry point for indirect prompt injection.
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Web Search
Web search expands the surface for threat actors to influence enterprise app workflows.
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AI Risk Intelligence
Assess Novel AI Risk in Vendors quickly
Gain comprehensive insights into the risks of indirect prompt injection that could lead to client data exfiltration — along with 26 critical AI risk vectors.
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Continuous Monitoring
Track when vendors are adding AI
Stay informed when vendors who were previously approved are adding AI and not informing security teams
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Continuous Monitoring
Monitor changes to AI in vendors
Track significant AI scope changes across your vendor stack that alter a vendor’s AI risk posture or conflict with outside counsel guidelines.
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Case study from Ogletree Deakins
PromptArmor has helped us gain confidence in AI vendors - which ultimately gives us the ability to approve them for the rest of our business, faster. We think of it as enabling our innovation teams to succeed in AI adoption, while keeping the proper controls in place for security and risk. We've learned a lot about new AI risks and how to evaluate these vendors for novel AI and LLM native threats in a structured way.
- Scott Busch, Information Security
