The upcoming enforcement of GDPR puts the spotlight on data governance, but what about the potential impact on vendor risk management? Jacob Olcott of BitSight discusses how to prepare for this new generation of cybersecurity regulations.
Artificial intelligence and machine learning are among the top industry buzzwords of the year. But how can AI truly make a significant impact on organizations' cybersecurity operations? Brian NeSmith of Arctic Wolf Networks offers insight.
Organizations are drowning in data, and they cannot even inventory it all - much less secure it. How, then, do they shift to focusing on their most sensitive data? Rob Douthitt of SolarWinds MSP offers new strategies.
Network by network, device by device, today's security threats spread through an organization like wildfire. But Druce MacFarlane of Bricata says security leaders are making fundamental mistakes with their focus on perimeter and endpoint security.
When it comes to ransomware defense, "backup, backup, backup" is the go-to strategy. But are organizations backing up the right data at the right time to enable the best ransomware recovery? Ali Mahmoud of SolarWinds MSP shares new insight on secure backup.
Yes, malware commonly targets the Windows operating system. But if you limit malware analysis to Windows OS, you're leaving gaping vulnerabilities, says Christopher Kruegel of Lastline Inc. Here's how to maximize your analysis.
From zero-day exploits to IoT vulnerabilities to the sheer number of prospective adversaries, the threat landscape is ever-shifting. And global regulatory pressures are only mounting. How must security leaders respond? Symantec's Renault Ross offers insight.
As the GDPR enforcement date edges closer, organizations remain unprepared to comply, says BitSight's Elizabeth Fischer - especially when it comes to vendor risk management. What - beyond contracts - do organizations need?
Gartner's Avivah Litan, a featured speaker at ISMG's Fraud and Breach Prevention Summit in New York on Aug. 8, says hacker attribution is taking on new importance, as traditional methods of determining attack risk and detection linked to indicators of compromise are no longer effective.
As financial organizations deploy artificial intelligence and machine learning in the fight against money-laundering fraud, David Stewart of SAS offer tips to help separate fact from market hype when reviewing new data analytics tools.