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Zafran Security integrates with existing security tools to identify and mitigate vulnerabilities effectively, proving that most critical vulnerabilities are not exploitable, optimizing threat management.
Zafran Security introduces an innovative operating model for managing security threats and vulnerabilities. By leveraging the threat exposure management platform, it pinpoints and prioritizes exploitable vulnerabilities, reducing risk through immediate remediation. This platform enhances your hybrid cloud security by normalizing vulnerability signals and integrating specific IT context data, such as CVE runtime presence and internet asset reachability, into its analysis. No longer reliant on patch windows, Zafran Security allows you to manage risks actively.
What are the key features of Zafran Security?
What benefits can users expect from Zafran Security?
In industries where security is paramount, such as finance and healthcare, Zafran Security provides invaluable protection by ensuring that only exploitable vulnerabilities are addressed. It allows entities to maintain robust security measures while allocating resources efficiently, fitting seamlessly into existing security strategies.
Helps security and IT operations teams prioritize and remediate risks based on potential impact to the business.
DataVisor is the leading big data fraud detection solution utilizing unsupervised analytics to identify malicious account campaigns before they conduct any damage to banks, consumer-facing web sites and mobile apps. Our unique approach to big data fraud detection does not rely on prior knowledge of attack patterns – “training data” in data science speak.
The rapid expansion of consumer-facing online services has led to an explosion of user accounts, ushering in the “billion user era”. Well-organized attack campaigns are using this growth to their advantage, creating armies of fake and compromised accounts to hide in the shadows and conduct fraud against banks, web sites and mobile apps. It is challenging for trust and safety teams to stay ahead of these fraudsters since rules and models need constant maintenance and are always reacting after the damage has been done. Our approach to big data fraud detection gives you a leg up.
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