Explore the role of Digital Risk Protection in defending against any unauthorized exploitation of brand assets in the digital realm.
Phishing is a “scam” and form of internet fraud, in which bad actors attempt to deceive internet users into unveiling sensitive personal information. In its original and most common form, the attack is initiated via an email purporting to be from a reputable or legitimate source. Inside the email, the attacker urges the victim to act in some way and includes (“hides”) a malicious link. When clicked, that link takes the victim to a fraudulent or compromised webpage. From there, the victim is prompted to enter sensitive personal information (i.e. username, email, password, credit card information, etc.). Phishing webpages can appear nearly identical to their authentic counterparts – often requiring advanced phishing detection solutions to identify the fake. Mobile phishing attacks that take advantage of simplified user interfaces and design choices intended to improve “usability” on smaller devices have become particularly effective.
zvelo’s phishing detection solution delivers maximum protection against active and emerging phishing threats in the wild. Advanced AI-based, proprietary technology detects unique phishing threats earlier and more accurately than other providers, to neutralize emerging threats when they are most dangerous.
AI-fueled social engineering tactics are a potent initial infection vector for ransomware as well as a myriad of other cyber threats.
Human error, lack of security protocols, and acts of war are now part of the cyber insurance exclusion criteria that could void your coverage.
This post explores Defense-in-Depth, a comprehensive strategy with a multi-layered approach to modern threat protection.
This post unpacks the criminal elements in the ransomware ecosystem: from developers and distributors to negotiators and even PR specialists.
Phishing as a Service is a pervasive threat that has transformed phishing tools into commercial products made easily accessible to the masses.
The third post in the threat feed evaluation series, this blog outlines the essential questions to address during the feed evaluation process.
Part 1 in a series on how to evaluate threat feeds, this post focuses on the key areas to measure to help guide your decision making process.
Explore the top 5 reasons why high-quality, curated threat intelligence data is superior to raw threat data for adequate threat protection.
This post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.