by Admin on Nov 9, 2022 12:00:00 AM
Network security has taken another step forward by incorporating machine learning at the DNS layer, according to vendor DNSFilter.
Ken Carnesi, chief executive officer and co-founder at DNSFilter, said that by resolving the inefficiencies found within legacy solutions, it had simplified threat protection and content filtering
The approach has netted the growing solution provider a top-10 place in the Cyber Defense Baby Black Unicorn Awards for 2022.
“Our mission is to change the way people think about security at the DNS layer,” Carnesi said in the announcement.
DNSFilter incorporates machine learning in its DNS threat protection, which it says means it can identify around 61% of threats in-house, and more zero-day attacks in progress than competitors.
The company said it can identify compromised domains an average of seven days before they appear on other external threat feeds, deploying a first line of defence at the DNS layer that could both identify and block end user exposure to phishing, malware and advanced cyber threats.
The Top 10 Baby Black Unicorn Award Winner for 2022 prize aims to spotlight cybersecurity companies with the potential to become worth $1 billion in market value in three to five years, the company said.
In an increasingly interconnected world, the rapid advancement of artificial intelligence (AI) has brought both promise and concern. As AI continues to evolve, so does the debate surrounding the potential risks it poses.
A phishing attack is a form of cybercrime where the attacker poses as a trusted entity to trick victims into revealing sensitive information, such as usernames, passwords, credit card details, and more.
As we noted yesterday, CEO of OpenAI Sam Altman testified before US Congress this week to discuss ways to mitigate the potential perils of artificial intelligence. Wired reports that senators at the hearing from both sides of the aisle voiced their desire to create a federal agency devoted solely to regulating AI.