Data breaches take time and a lot of effort to pull off, but successful breaches can affect not just organizations, but also millions of people. Learn what a data breach is, what types of data is usually stolen, and what happens to stolen data.
With today’s ever-evolving threat landscape, data breaches are no longer isolated cases. Responding to and remediating data breaches calls for a proactive approach — something that managed detection and response (MDR) can provide.
Security researchers uncovered a cryptojacking campaign that exploits a vulnerability in MikroTik routers to inject a malicious version of Coinhive. Here’s what you need to know.
Security researchers uncovered that a version of Jigsaw, an old ransomware, has resurfaced as a bitcoin stealer. Its operators have already netted 8.4 bitcoins (US$66,807 as of July 24, 2018) using the repurposed malware.
Threat data — enough of it — is critical to a machine learning system’s success in cybersecurity solutions. But is data quantity the be-all and end-all of effective machine learning?
The Federal Bureau of Investigation (FBI) issued a public service announcement (PSA) regarding the continued increase of Business Email Compromise (BEC) scams, which total global losses have already reached over US$12 billion in 2018.
Addressing the need for a more efficient way to defend against spam in the early 2000s, the antispam industry turned to machine learning. The effect: Overall cyberdefense was enhanced to catch approximately 95 percent of spam.