Insight For Webserver (IWS)
IWS scans outbound response traffic in real time for undesirable content and confidential data at layer 4. It is a paradigm shift in web security.
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LLM Incident Detection and Response
Microsoft Security – Secure and Govern AI
Microsoft Security provides capabilities to discover, protect, and govern AI applications. Data Security, AI Security Posture Management, AI Threat Protection, AI governance and more.
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AI Trust Platform
Preamble provides runtime guardrails for RAG, LLMs, and AI agents by enforcing safety, privacy, security, and compliance policies while mitigating real-time risks to ensure secure, reliable AI operations.
WebOrion® Protector Plus
WebOrion® Protector Plus is a GenAI firewall, built to protect GenAI applications against cyber threats. Its ShieldPrompt™ add-on offers an advanced level of protection, including canary checks, retokenization, contextualized guardrails and vector database checks.
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Straiker AI
Secure AI Applications using two products. Ascend AI provides pentesting/red teaming across all layers of the applications. Defend AI provides visibility, guardrails for AI applications. With both approaches, we take a look at the threat vector at the application layer and not just the models
Dyana
Dyana is a sandbox environment using Docker and Tracee for loading, running and profiling a wide range of files, including machine learning models, ELF executables, Pickle serialized files, Javascripts and more. It provides detailed insights into GPU memory usage, filesystem interactions, network requests, and security related events.
Aim AI Security Platform
The Aim AI Security Platform enables enterprises to secure every AI interaction throughout their AI adoption journey, from AI applications used directly by employees to third-party enterprise applications with embedded AI features, and custom-built AI applications.
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Cisco AI Runtime
Cisco AI Runtime secures GenAI apps to address threats like prompt injections, sensitive data loss, and compliance concerns. Deploy guardrails around safety, privacy, relevancy, and security to govern your AI operations.
