Why does everyone keep mislabeling machine learning - a proven technique for helping organizations to improve their security posture - as artificial intelligence? "I'm so tired of the AI buzzword bingo," says John Matthews, CIO of ExtraHop Networks.
Defending organizations against attackers is more challenging than ever. "The complexity and sophistication of the threats has increased," says Cisco's Mark Weir. "What we're seeing a lot of at the moment as well is intellectual property theft."
Visibility, or a lack thereof, continues to challenge organizations as they attempt to protect their businesses by knowing which systems, applications and data they have, says AlgoSec's Jeffrey Starr. He discusses how centralized visibility, control and automation can help.
Managing a security operations center is fraught with challenges, says Stephen Moore of Exabeam, who outlines the findings of a new "State of the SOC" report.
As organizations pursue digital transformation initiatives backed by new application deployment techniques, they must ensure that security, operations and development teams fully coordinate, says Marco Rottigni of Qualys.
After years of organizations being stuck in a reactive security posture, proactive prevention is finally possible thanks to machine learning backed by AI math models, says BlackBerry Cylance's John McClurg.
With the volume of data breaches and cyberattacks continuing to rise, organizations are increasingly relying on breach and attack simulation tools to provide more consistent and automated validation of controls, says Cymulate's Tim Ager.
Dan Woods, vice president of the Shape Intelligence Center at Shape Security, outlines what enterprises can do to protect themselves against automated attacks.
Artificial Intelligence is coming of age as a key tool in the security analyst's arsenal, says David Atkinson, founder and CEO of Senseon, who highlights key benefits of the technology.
James Stanger, chief technology evangelist at CompTIA, explains why red teaming can prove highly beneficial in improving organizational security controls.
Data in non-production environments represents a significant percentage of total enterprise data volume. Non-production environments also carry more risk than production environments because there are more direct users, says Ilker Taskaya of Delphix, who discusses how organizations can reduce that risk.
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