Hot cybersecurity trends under discussion at this year's RSA Conference include artificial intelligence, facial recognition, protecting not just data but also knowledge, as well as rapid data breach response, says Chris Pierson, CEO of Binary Sun Cyber Risk Advisors.
The terms artificial intelligence and machine learning are in abundant supply at this year's RSA Conference. Sam Curry of Cybereason cut through the hype to explain how he sees these technologies augmenting cybersecurity.
Organizations too often prioritize data breach prevention at the expense of data breach response - or vice versa, depending on current fashion - when an emphasis on both remains mandatory, warns Art Coviello, the retired chairman of RSA.
We have been talking about the cybersecurity skills gap for a decade, but the pain is truly being felt now as businesses churn out new apps with insufficient security, says WhiteHat Security's Craig Hinkley. What is machine learning's role?
Organizations in various industries are under increased pressure to identify subtle patterns that indicate fraud before their customers are affected by a variety of threats including account takeover, identity theft, and application fraud.
Many companies are turning to Machine Learning (ML) to help them stay one step...
For the past year, the buzz about artificial intelligence and machine learning has been overwhelming. But Ricardo Villadiego of Cyxtera sees promise in how these technologies can help organizations fight back against fraudsters.
What's the difference between artificial intelligence, machine learning, deep learning and neural networks? Don't trust vendors' marketing materials to help you find a workable, accurate definition, says Kris Lovejoy, CEO of the security firm BluVector.
Art Coviello, ex-CEO of RSA, is concerned about fraud trends and social media vulnerabilities. But he also is bullish on the opportunity for artificial intelligence and DevOps security to stop attacks before they cause harm.
Cybercriminals are organized, well funded, and highly motivated. They are deploying advanced malware, leveraging cloud-based computing resources, and developing cutting edge tools to attack your organization's data.security defenses.
The proliferation of online devices accessing personal and financial information,...
When insider threat researcher Randy Trzeciak looks at artificial intelligence and machine learning, he sees the potential for technology to help organizations predict potentially dangerous insider behavior - not just respond to it.
Armed with stolen personal data, cybercriminals can easily bypass conventional identity authentication methods. So how can organizations strengthen authentication without harming customer experience? Shaked Vax of IBM Security shares insights.
If you browsed the latest security headlines, you'd probably think the majority of data breaches were related to hackers, political activists, malware or phishing. While the latter two hint at it, the truth is that nearly half of all data breaches can be traced back to insiders in some capacity.
Machine learning (ML) offers a great deal of promise in improving security by greatly reducing human effort and lowering the time to detect, respond to, and recover from incidents.
This whitepaper explores the data science-driven approach for employing machine learning in a security environment:
When applied to...
As of Q1 2018, the global cybersecurity community finds themselves inundated with both internal and external advanced threat actors who are stealthier, more resilient and sadly, more effective than they have ever been before. Many organizations are coming to terms with deciding whether their security posture is...
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