Deepfence
Cloud Native Security Observability Platform
Overview
Deepfence provides a security observability platform for cloud and container native environments. Based on a “security as a microservice” model, Deepfence measures and maps runtime attack surfaces and provides full-stack protection from known and unknown threats. Its open-source ThreatMapper helps protect the software supply chain by automatically scanning, mapping, and ranking application vulnerabilities.
✨ Key Features
- Cloud Native Workload Protection (CNWP)
- Runtime Attack Surface Mapping
- ThreatMapper (Open Source)
- SecretScanner (Open Source)
- YaraHunter (Open Source)
- PacketStreamer (Open Source)
- ThreatStryker (Enterprise)
🎯 Key Differentiators
- Open-source core (ThreatMapper)
- Security as a microservice model
- Runtime attack surface mapping
Unique Value: Empowers organizations with unparalleled cloud-native security solutions that protect, detect, and respond to evolving threats.
🎯 Use Cases (4)
🏆 Alternatives
Offers a strong open-source foundation with ThreatMapper, providing a seamless upgrade path to its enterprise solution for deeper runtime protection.
💻 Platforms
🛟 Support Options
- ✓ Email Support
- ✓ Dedicated Support (Enterprise tier)
💰 Pricing
✓ 14-day free trial
Free tier: ThreatMapper is open source and free.
🔄 Similar Tools in Adversa AI Alternatives
Protect AI
A comprehensive platform to secure AI and machine learning systems from development to deployment....
HiddenLayer
A specialized AI security platform designed to protect machine learning models from various threats ...
Robust Intelligence
An AI security company that develops a platform to protect AI models and applications throughout the...
Mindgard
An AI security platform delivering offensive security testing solutions for large enterprises, engin...
CalypsoAI
A platform that helps enterprises secure, test, and monitor AI systems for compliance, safety, and r...
Garak
An open-source tool designed to test the robustness and reliability of Large Language Models (LLMs)....