Threat Intelligence Sharing Platforms
In the last couple of years, organizations have demonstrated an increased willingness to exchange information and knowledge regarding vulnerabilities, threats, incidents, and mitigation strategies in order to collectively protect against today’s sophisticated cyberattacks. As a reaction to this trend, software vendors started to create offerings that facilitate this exchange and appear under the umbrella term “Threat Intelligence Sharing Platforms”.
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ALTERNATIVES
VirusTotal API v3 is a threat intelligence platform for scanning files, URLs, and IP addresses, and retrieving reports on threat reputation and context.
Analyze suspicious files, domains, IPs, and URLs to detect malware and other breaches, and share results with the security community.
A cybersecurity concept categorizing indicators of compromise based on their level of difficulty for threat actors to change.
A reference implementation for collecting events and performing CAR analytics to detect potential adversary activity.
A repository to aid Windows threat hunters in looking for common artifacts.
Powershell Threat Hunting Module for scanning remote endpoints and collecting comprehensive information.
A project focusing on understanding and combating threats to the Internet economy and net citizens.
Threat hunting tool leveraging Windows events for identifying outliers and suspicious behavior.
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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.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.
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.