Network Security for Incident Response
Comprehensive solutions for securing network infrastructure, traffic, and communications. Task: Incident Response
Explore 9 curated tools and resources
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Arkime is an open-source network capture and analysis tool that provides comprehensive network visibility, facilitating swift identification and resolution of security and network issues.
A foundational guide for using deception against computer network adversaries using honeypots to detect adversaries before they accomplish their goals.
A honeypot designed to detect and analyze malicious activities in instant messaging platforms.
An intrusion prevention system for SSH that blocks IP addresses after a set number of consecutive failed login attempts.
A honeytoken-based tripwire for Microsoft's Active Directory to detect privilege escalation attempts
A low-interaction honeypot for detecting and analyzing potential attacks on Android devices via ADB over TCP/IP
Visualize and analyze network relationships with AfterGlow
A simple honeypot that opens a listening socket and waits for connection attempts, with configurable reply and event handling
Stenographer is a high-performance full-packet-capture utility for intrusion detection and incident response purposes.
PINNED
Fabric Platform by BlackStork
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
Free
Security Operations
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Free
Blogs and News
Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
Commercial
Cloud Security
Adversa AI
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.
Commercial
AI Security