With San Francisco banning the use of facial recognition technologies for their local agencies, the debate on the efficacy of the technology has risen back into the national debate arena.
Security teams today are under-staffed, over-worked, under-funded and struggling to stay abreast of the ever-changing threat landscape. Many security analysts work long hours poring over millions of security events to protect systems and fix vulnerabilities. Simply put, there is too much information and not enough analysts. Fortunately, humans are not the only answer for solving the cybersecurity crisis.
Think back to 2009 and the phone you owned. While the phone you carry today might not look that different, a smartphone or its equivalent is far more powerful than it was just 10 years ago. While it is relatively easy for businesses to track the evolution of phone technology, have they similarly considered how their own corporate security departments have changed during the same period?
Multiple cyber-attacks and compromise of personal information of millions of people globally show that the complexity and intensity of cybersecurity attacks are on the rise, and it could have broader political and economic ramifications. As cybercrimes become more lucrative and cybercriminals become smarter, cybersecurity too will have to be intelligence driven, enabling a swift response to the advanced attacks.
The C Spire Business 2019 Bytes & Bites Technology Solution Summit on Thursday, April 18 will feature Theresa Payton, the first female to serve as White House CIO under former President George W. Bush, as the event’s featured speaker along with panel discussions.
The WannaCry ransomware attack that successfully targeted Merck is not the only cyberattack to which the pharmaceutical industry has fallen victim. As pharmaceutical and biotechnology companies move toward greater digitalization and the storage of more valuable data, their digital security practices become more and more critical.
With the barrage of information coming into a system, separating the noise from the genuine threats can be a difficult process. This is where AI can come in, to help you separate the real risks to your business from normal network noise.
