The terms “artificial intelligence” and “machine learning” are often used interchangeably, but there’s a huge technical difference between them. While the first is used by Hollywood when depicting self-aware machines, the latter is comprised of finely tuned single-task algorithms that are nowhere near self-aware.
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What were the biggest cyber security culprits in the first half of 2017 from a data breach standpoint? Identity theft and poor internal security practices, according to the latest Breach Level Index (BLI) Report by Gemalto.
First, here’s the good news: Organizations today are in the midst of digital transformations and an acceleration of their online presence that is enriching their products, deepening customer relationships, and boosting the companies’ brands.
Software containers are among the hottest aspects of enterprise technology right now. Sure, containers help enterprises save budget through, just like virtualization, the improvement of hardware density. But that’s not really why enterprises are turning to containerization. It’s how application containers bring to modern cloud environments improved manageability and the ability to deploy applications as discrete functions that can be used at will and reused elsewhere in the environment, wherever needed, as a service.
A long line of very public data breaches have made clear that businesses don’t need to be targeted by sophisticated hackers to have private and sensitive data splashed across the newspaper headlines.
“EDR is the worst form of endpoint security except all the other endpoint security approaches that have come before it.”
There’s no doubt that enterprises are embracing cloud computing, but not-so-surprising that enterprises repeatedly say that they need heightened visibility and security management capabilities so they can more effectively deploy applications, defend against cyberattacks, and mitigate regulatory compliance risks, a recent survey found.
Business Insights readers are certainly well aware of the sorry state of connected medical device security. We’ve covered it in posts such as St. Jude Takes Steps to Secure Vulnerable Medical Implants and U.S. DHS and FDA Face Medical Device Security Woes. In the later post we covered how the FDA is working to foster a culture of continuous quality improvement.
Following years of active research and progress, artificial intelligence and machine learning have gained traction, becoming integrated in all cybersecurity layers to boost the efficiency of unknown malware detection, spam detection, URL filtering and network anomalies. Still, the industry has only reached the tip of the iceberg, with many opportunities still to be explored in the future.
Government agencies, journalists, and businesses trading in some parts of the world may find themselves at greater risk of being spied upon than others.
In a survey and research, The Future of Hybrid Cloud, highlights that while enterprises are moving to cloud — it’s not a smooth transition as some like to proclaim.
It seems as though CISOs and CSOs are constantly battling with challenges, whether it’s newly discovered threats and vulnerabilities, growing demand for cyber security skills and not enough qualified people to deliver them, complaints from business users about disruptive security tools, or some other issue,