Mindgard is a continuous automated red teaming platform designed to identify and remediate security vulnerabilities within AI systems, including generative AI and large language models (LLMs). Key features: - Comprehensive testing against diverse AI systems like multi-modal GenAI, LLMs, audio, vision, chatbots, and agent applications. - Automated red teaming to seamlessly integrate security testing into MLOps pipelines. - Advanced threat library continuously updated by AI security researchers. - Tests for threats like jailbreaking, model extraction, evasion attacks, inversion, poisoning, prompt injection, and membership inference. - Helps secure AI models across the pipeline from building, buying, or adopting. - Provides enterprise-grade protection and runtime security for customers. - Aligns with security standards like OWASP, MITRE ATT&CK, NIST, and NCSC.
WhyLabs is a platform that provides security, monitoring, and observability capabilities for Large Language Models (LLMs) and AI applications, enabling teams to protect against malicious prompts, data leaks, misinformation, and other vulnerabilities.
Infinity Platform / Infinity AI is an AI-powered threat intelligence and generative AI service that combines AI-powered threat intelligence with generative AI capabilities for comprehensive threat prevention, automated threat response, and efficient security administration.
FortiAI is an AI assistant that uses generative AI combined with Fortinet's security expertise to guide analysts through threat investigation, response automation, and complex SecOps workflows.
DIANNA is an AI-powered cybersecurity companion from Deep Instinct that analyzes and explains unknown threats, offering malware analysis and translating code intent into natural language.
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.
LLM Guard is a security toolkit that enhances the safety and security of interactions with Large Language Models (LLMs) by providing features like sanitization, harmful language detection, data leakage prevention, and resistance against prompt injection attacks.
