To combat credential stuffing and other types of rising attacks, organizations need data - and lots of it - to feed machine learning and artificial intelligence algorithms to better detect these types of high volume attacks, says Shape Security's Dan Woods.
Alert fatigue is a serious problem in terms of risk management and security analyst turnover. Ted Julian of IBM Resilient discusses how artificial intelligence and machine learning can assist with orchestration and automation.
The U.S. Federal Government wants its agencies to modernize their IT systems, primarily by maximizing the use of cloud platforms. But IT teams are finding this transformation challenging. Investing in IT modernization can lead to more agility, improved resilience and security and, in the long term, better citizen...
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...
The high-profile breaches of Fortune 100 companies are the ones that get the headlines, but small and midsized businesses should not breathe any sighs of relief. They are very much still targets, says Austin Murphy of CrowdStrike. He offers cybersecurity advice to SMBs.
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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.
Cloud computing is proliferating and taking over the world of IT as we know it. Cloud computing also grows more complex and multi-faceted daily. Getting onto the cloud is easy. Getting it right is trickier. You can probably see why a carefully thought-out and detailed approach to cloud computing - a strategy, in other...
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.