The modern workforce looks a lot different than it did even a decade ago. If employees actually go to a physical office, their workplaces are often defined by open concepts, collaboration and frequent communication. None of this is by accident. Studies consistently show that happy employees are more productive employees, and autonomy and access are two factors that can make employees happy.
Your company has decided to adopt the Cloud. Or maybe it was among the first ones that decided to rely on virtualized environments before it was even a thing. In either case, cloud security has to be managed. How do you go about that?
Machine learning (ML) technology has the potential to generate tremendous value for businesses. It is already proving itself in the market and powering a growing number of tools across virtually every industry. In order to discuss the current capabilities of ML, we must first examine how it relates to artificial intelligence (AI). Then, we can explore where ML software is today, its real-world applications, and how it’s transforming business.
Most educators know about the federal student data privacy laws such as the Family Educational Rights and Privacy Act (FERPA) administered by the US Department of Education. However, modern schools increasingly adopt new technologies such as cloud service providers for managing everything from homework assignments in Google Drive to education data in records management data systems.
EdOverflow is known for contributing a bunch of stuff: active in the community, one of the people behind security.txt – a standard for structuring responsible disclosures, bug bounty hunter and a member of Detectify Crowdsource. We got a chance to quiz him about security.txt, his motivates for being involved with hacking communities and why he chooses to report to responsible disclosure programs without bounty rewards.
In the previous steps, analysts have gathered enough data to answer their hypothesis. Two types of situations can occur. Either the real threat is found or the vulnerability is detected. In both cases, analysts action is necessary. The analysts must respond immediately when a real threat is identified. However, if there is any vulnerability, they should also resolve this before it becomes a really big nightmare.
In October 2018, FICO (a consumer credit scoring specialist) began scoring the cybersecurity of companies based upon a scan of internet facing vulnerabilities. FICO grades companies using the same scoring that is familiar with consumer credit. These metrics are then used to compare security risks against competitors. This announcement has the potential to be a sea change event in cybersecurity.
Server architecture can differ in a lot of ways, but the three main categories would be on-prem, cloud and serverless. Some believe that cloud and serverless can be used interchangeably, which is not the case. To help clear up some confusion, this blog post will explain each of them and how it affects the security work.
A selection of this week’s more interesting vulnerability disclosures and cyber security news. In the new GDPR age we are in, exploration of data at rest has been high on the agenda for many, and this item perked my interest – and some concern. Well worth a read.
