The best way to take a holistic approach to the current threat landscape is to define security issues as business problems and then put the problem before the solution - not the other way around, contends RSA CTO Zulfikar Ramzan.
Imagine a world where incident alerts arrive 30 minutes before problems even begin - you'd actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again.
A superior AIOps (Artificial Intelligence for IT Operations) solution can help maintain...
Machine data is one of the most underused and undervalued assets of any organization, yet it contains powerful business and operational insights that can help you quickly diagnose service problems, detect advanced security threats and uncover the fingerprints of fraud.
Download this e-book and learn:
Where you...
Artificial intelligence has the potential to filter out much of the noise that can bog down teams trying to triage security alerts, says Bryce Boland, former CTO for FireEye in Asia-Pacific.
Artificial intelligence and machine learning will have a significant impact on lowering the cost of securing an organization because it will reduce the need for advanced skillsets, predicts Rapid7's Richard Moseley.
Are cyberattackers working on ways to counter artificial intelligence-augmented security? And will the bad guys ever use AI-driven attacks? Adi Ashkenazy of XM Cyber offers an analysis.
Data science is playing a fundamental role in a more dynamic approach to cybersecurity, says Jim Routh, CISO of Aetna, who stresses the importance of applying machine learning to front-line data security controls. Routh will be a featured speaker at the ISMG Security Summit in New York Aug. 14-15.
To mitigate the insider threat, organizations should apply user behavior analytics powered by artificial intelligence, says Mark Bower of Egress Software Technologies.
To have any hope of keeping up "with the exponential rise in variants in malware," organizations must reduce their attack surface, in part by using technology designed to learn what attacks look like and respond as quickly as possible, says Cylance's Anton Grashion.
Security experts warn that hackers could one day make use of machine learning and AI to make their attacks more effective. Thankfully, says Cybereason's Ross Rustici, that doesn't appear to have happened yet, although network-penetration attacks are getting more automated than ever.
Incident response challenge: How to deliver actionable information to security analysts to enable them to better triage? "The quicker you can detect and respond to an incident, the more you're likely to be able to contain and minimize the risk associate with it," says IBM's Mike Spradbery.
Security alert fatigue is a growing concern, leading to difficulties sorting out false positives from alerts worth investigating, says Robert Hamilton of Imperva.
Leading the latest edition of the ISMG Security Report: Our exclusive report on an Australian criminal investigation into a company that apparently swiped cryptocurrency using a software backdoor. Also, cutting through the hype on artificial intelligence and machine learning.
Our website uses cookies. Cookies enable us to provide the best experience possible and help us understand how visitors use our website. By browsing cuinfosecurity.com, you agree to our use of cookies.
