Governance, risk, and compliance (GRC) are major inhibitors for organizations moving to the cloud—and for good reason. Cloud environments are complex, and even a single misconfigured security group can result in a serious data breach. In fact, asset misconfigurations were the leading cause of cloud security breaches in 2019. This puts a lot of pressure on developer and operations teams to properly secure their services and maintain regulatory compliance.

We have been shortlisted for: The Cyber Security Awards were established in 2014 to reward the best individuals, teams and companies within the cyber security industry. Excellence and innovation are core themes throughout all categories. The winners this year will be announced in a virtual ceremony held on September 10th at 5 pm BST. Organiser, Christina Price, said “Despite the challenges of 2020, we have received a record number of entries.

For organizations that manufacture any type of product, overall quality and customer satisfaction are extremely critical. This is particularly important for companies that manufacture complex products, such as vehicles or medical devices. Note that vehicle manufacturers, particularly in the United States but also in other countries, have established their own quality standards for third party suppliers.

Some new variants of the Agent Tesla infostealer family are capable of stealing data from multiple VPN clients and web browsers. SentinelOne observed that attackers continue to deploy Agent Tesla across various stages of their operations, as this malware enables criminals with even low levels of technical expertise to manipulate and manage their victims’ infected devices.

Education is a strictly regulated industry in which robust cybersecurity protection is a must. Data breaches can cost a fortune for schools and universities, since the loss of students’ personal information and other critical data brings reputational damage alongside fines for regulatory non-compliance. In the US in 2019 there were 348 publicly disclosed K-12 school-related cybersecurity incidents — triple the number in 2018.

In this age of digital transformation, organizations of all sizes and industries are moving to more automation, cloud-based services, and integrations as every part of the business world becomes digitally focused. We know that economic disruption caused by COVID-19 and the subsequent slowdown of commerce has hurt many businesses. However, security and access control have become essential business requirements as we all figure out what the future of work looks like.

As organizations continue to adopt DevSecOps, a methodology that shifts security measures to the beginning of the software development lifecycle (SDLC), roles and processes are evolving. Developers are expected to take on increased security measures – such as application security (AppSec) scans, flaw remediation, and secure coding – and security professionals are expected to take on more of a security oversight role.

I was asked the following recently in an interview for the Irish tech online magazine 'Silicon Republic’; How can companies make sure they are spending on cyber security in the right way? I thought it was a great question. In the article, I answered in general, however it got me thinking on elaborating on this with the particular focus for SMEs, who especially at this time are feeling the pinch of the revenues lost by COVID-19.

One of Bearer's super powers is anomaly detection. Anomalies are unexpected issues that happen when making an API call. These could be high error rates, unexpected response codes, latency spikes, and more. By monitoring APIs with anomaly detection, we can identify problems with an API or within your application. Anomaly detection makes debugging easier and can help you identify API performance issues that affect your end users.

The cybersecurity industry is increasingly producing enormous amounts of raw threat data. The sheer volume of information threat researchers must sift through makes it difficult to collect, analyze, and research that data in a timely manner. This in turn limits their ability to understand what data is valid and useful and whether threat artifacts will result in legitimate threat indicators.