Deep Instinct's DIANNA (Deep Instinct Artificial Neural Network Assistant) is an AI-powered cybersecurity companion that analyzes and explains unknown threats. It provides actionable insights and explainability into never-before-seen threats, including intricate binaries. DIANNA leverages generative AI to offer expert-level malware analysis, translating code intent and activity into natural language reports. Key features include: - Analyzes various file formats like binaries, scripts, documents for threats - Translates code to explain its intent, actions, and potential impact - Offers insights into Deep Instinct's prevention models for visibility - Automates tedious SOC analysis tasks to enhance efficiency - Designed with data privacy, never using files to train models
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.
Mindgard is a continuous automated red teaming platform that enables security teams to identify and remediate vulnerabilities in AI systems, including generative AI and large language models.
Sense Defence is a next-generation web security suite that leverages AI to provide real-time threat detection and blocking.
SentinelOne Purple AI is an AI-powered security analyst solution that simplifies threat hunting and investigations, empowers analysts, accelerates security operations, and safeguards data.
Lakera Red is an automated safety and security assessment tool for GenAI applications
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.
