Discover how organizations can enhance their ability to detect and respond to threats and adapt security policies and protocols to network and connectivity changes in real time with Fortinet’s AI-Driven Security Operations.
To respond to today’s sophisticated cyber threats, organizations must utilize effective and reliable threat intelligence, powered by AI and machine learning systems.
Organizations must make radical changes in order to fill security gaps that are becoming increasingly more common as networks become more complex. Learn more about the vital strategies that can help you stay ahead of cyberthreats.
Fortinet CISO Phil Quade recently spoke to Peter High for an interview that appeared on the Forbes website. In the interview they discussed everything from segmentation to convergence to machine learning and AI, and how all those things are affecting the future of cybersecurity.
Once the purview of defense researchers, advanced fuzzing is poised to fall into the hands of the criminal community. AI-powered fuzzing will change the game for both attacker and target. One effective method of counter-attack is to go after the underlying economic strategies of criminal organizations.
As always, there is literally too much information to consume. But with some simple analysis, we can break down some of the bigger security trends unveiled at this year’s RSA event and help separate the hype from the solutions that can actually help.
Advances in swarm technology have powerful implications in the fields of medicine, transportation, engineering, and automated problem solving. However, if used maliciously, it may also be a game changer for the bad guys if organizations don’t update their security strategies.
The benefits to using a UEBA security solution built on a machine learning platform are many. As their ability to baseline network activity is refined, they can not only detect anomalous changes in behavior, but that information can also enable proactivity by identifyinf and preventing certain behaviors before the occur.
As the threat landscape continues to evolve rapidly, it now includes increasingly sophisticated, zero-day malware that traditional security approaches can no longer keep pace with. Staying ahead of today’s accelerated cybercrime trends requires adding artificial intelligence (AI) to an organization’s network security strategy.