As equipment becomes more automated, it is important that we continue to protect our ecosystem.
Apart from game-changing security technologies, market movement indicates that machine learning is a product feature.
Is AI the answer to patching all the flaws in our security systems? Or is it making IT professionals redundant?
A military response to violence creates more violence. For real security, we need to stop climate change and work toward shared prosperity.
Machine learning technology is still an evolving area in security. But it has the potential to be a game changer.
Rapid advances in advanced analytics and machine learning are quickly changing the information security landscape.
The legacy security model is based on the concept of a well-defined perimeter and the use of tools such as signatures, rules and statistical analysis. While that model has provided significant value for a very long time, the limitations of that model are highlighted by that fact that large-scale sec...
Machine Learning and Artificial Intelligence Can Help Enable Cyber Tools
Cybercriminals have yet to adopt machine learning for offensive attack strategies - and they probably won't for a long time.
As security expertise becomes more scarce, CISOs are turning to machine learning to do more with fewer people.
How password reuse and third-party breaches leave voting machine vendors vulnerable to attack.
With major companies battling constant cyberattacks and advanced persistent threats from cyber attackers, larger dedicated staffs are currently required to handle cyber espionage issues. Right now, a common problem across corporations and agencies in defending against these attacks is that too few people are solely
Augmenting human investigators is a better option than doing reinvestigations less frequently.
Centrify, Forrester, Gartner, and Verizon each have used different methodologies and reached the same conclusion from their research: privileged access abuse is the most commonly used tactic for hackers to exfiltrate sensitive data.
Cyber security executives are always looking for ways to keep a step ahead of the bad actors and the latest threats. Emerging technologies such as machine learning (ML) are providing a way to do that, and some IT and security leaders have begun taking advantage of tools that leverage these automated capabilities.
The volume of data traveling on networks and sophistication of attack tools are outpacing human experts’ capabilities.
Going far beyond traditional attack detection, sophisticated machine learning systems help organizations stay one step ahead of fraudsters.
Federal agencies must look for innovative, new ways of thinking to protect networks.
machine learning is critical for winning cybersecurity battle