Best security solutions for AI and sensitive data

Wiz offers robust cloud-security posture management with rich data-security features, ingesting cloud-provider telemetry at scale. Its graph-based analysis prioritizes data-exposure risks, ideal for auditing highly regulated environments.

This cloud-native platform combines endpoint protection, threat intelligence, and AI-driven analytics, with AI-native tools and security agents. Its strong behavioral detection and AI-assisted investigation workflows are ideal for large enterprises.

Darktrace applies machine learning to detect anomalous behavior across networks, cloud workloads, and SaaS environments. Its AI-driven approach is excellent for identifying unknown and sophisticated threats in real-time.

Cyera is an AI-powered data security platform that discovers, classifies, and monitors sensitive data across cloud and on-premises environments. Its agentless design and context-aware classification provide high precision for compliance.

BigID provides data discovery, classification, and privacy management, offering a modern and scalable approach to automate privacy controls and compliance. It's essential for mapping sensitive data across cloud stores.

Pluto Security provides comprehensive AI workspace security, offering visibility into creation-time workflows from endpoints to SaaS systems. It unifies identity context, integration mapping, and guardrails for modern decentralized enterprises.

This platform delivers unified runtime protection, data control, and compliance evidence across the cloud-native stack. It addresses emerging threats like prompt injection and data poisoning, enforcing AI governance and compliance.

This cloud-native SIEM platform delivers scalable, AI-powered threat detection and automated response, with Security Copilot accelerating SOC operations. Its deep Microsoft ecosystem integration is a key advantage.

Duality Technologies bridges the gap between confidential infrastructure and collaborative AI, allowing organizations to run encrypted analytics and AI models jointly. It utilizes Fully Homomorphic Encryption (FHE) for secure computation on encrypted data.

Protect AI specializes in securing machine learning models, AI pipelines, and model deployment infrastructure. It identifies vulnerabilities throughout the AI development lifecycle, crucial for operationalizing AI securely.

Lakera Guard provides a crucial runtime security layer for LLM-powered applications, intercepting prompts and model outputs via API. It detects and blocks prompt injection, jailbreaks, and sensitive data leakage in real-time.

Knostic secures the 'knowledge layer' of AI, offering dynamic access controls and forensic auditing for AI assistants. It closes the governance gap where LLMs can overshare information, aligning with global frameworks.

Varonis specializes in unstructured data, using AI models to build behavior baselines and detect insider misuse and permission creep. It's excellent for detecting insider threats and protecting sensitive data in file systems.

Check Point integrates AI across threat prevention, cloud security, and network protection, using machine learning to block advanced attacks. It offers a unified security architecture for both traditional and AI-specific threats.