Artificial intelligence and its cousin machine learning are words that keep cropping up in almost every industry at the moment. Sometimes as buzzwords, sometimes with real innovation, but always with the outlook that both Ai and ML are going to be employed a lot more across a whole spectrum of businesses.
The ability to feed key security information onto a big screen dashboard opens up many new opportunities for managing the day-to-day security and maintenance workload as well as providing a useful method of highlighting new incidents faster than “just another email alert.”
In today’s digital world, modern enterprises need a modern strategy for managing ongoing customer relationships. Salespeople are constantly sending out documents like quotes, sales orders, and invoices, but as processes become more complex, it becomes harder to track every document for every deal. The Egnyte Connect extension for Zoho CRM simplifies this process by providing sales teams and their customers with easy, secure access to all their documents.
In the previous post, we discussed the basics of Threat Intelligence and its types by throwing light on the concept of knowns and unknowns. In information security, any information which can aid the internal security team in the decision-making process and reduce the recovery time accordingly is considered as threat intelligence. This first part in this series of articles will discuss threat intelligence cycle and its importance.
Many industries have sweepingly digitized their documentation in the name of efficiency – substantial efficiency. The healthcare industry created the electronic health record (EHR) in the name of efficiency as well (among other benefits). But EHRs are far from universal in the medical space. While some hospitals and practices are simply slow to adopt modern practices, the greatest barrier to the universal adoption of electronic health records is privacy and security.
Recently, the Defense Advanced Research Project Agency (DARPA) announced a multi-year investment of more than $2 billion in new and existing programs in artificial intelligence called the “AI Next campaign. Agency director, Dr. Steven Walker, explained the implications of the initiative: “we want to explore how machines can acquire human-like communication and reasoning capabilities, with the ability to recognize new situations and environments and adapt to them.”
We are all no doubt aware of phishing. That age-old practice of sending fraudulent emails with the hope of gaining financial details, obtaining account credentials or tricking a user into installing malicious software. The practice is not new. In fact, before the wide-spread use of the internet, people would often receive letters claiming that they had won some sort of competition and to claim their prize, all they had to do was send some cash to front the delivery costs.
A selection of this week’s more interesting vulnerability disclosures and cyber security news. A lot to get worked up about this week, and I will skip the majority of the noise about British Airways and yet more MongoDB related shenanigans, to highlight another kind of oversight: Deploying publicly accessible web content with Git and not cleaning up afterwards – or not doing it in the first place perhaps.
The concept of configuration hardening has nice imagery to it. When we use it to describe battle-hardened soldiers who have been tested in combat, a grim, determined image invariably leaps to mind. The same thing happens when we speak of hardened steel that’s been repeatedly quenched and tempered or of hardened fortifications and bunkers.
It shouldn’t come as a surprise to anyone reading this article that there has been a major shift towards businesses hosting their critical applications in the cloud. Software-as-a-Service (SaaS), as well as cloud-based servers from Amazon or Microsoft, have changed the way we build networked business systems for any size organization.
