Inherent risks are the cyber risks and vulnerabilities within an organization before security measures are implemented. In contrast, residual risk is calculated after cybersecurity protections have been put in place to protect against all of these inherent risks; its calculation includes every possible attack vector that could affect a system or data.
For cloud-native organizations — those begun in the past decade or so — obtaining critical services from other cloud-native companies makes sense. After all, the whole point of being cloud native is to avoid physical infrastructure wherever possible. You want to focus on your business, not managing the systems and infrastructures that support it. That strategy applies to your logging and security information and event management (SIEM) solution, as well.
In honor of World Password Day, we’re doing our part to help keep your business secure by discussing the good, the bad, the ugly and the critical about passwords. Let’s face it: between all the logins we need for work and all the accounts we use in our personal lives, there are too many passwords to remember. So many of us do what seems natural—use the same password for multiple accounts.
Attack vectors are defined as the means or paths by which hackers gain access to computers remotely with malicious intentions such as delivering payloads or carrying out other harmful activities. Some common ones are malware, social engineering, phishing and remote exploits.
Best practices for securing an AWS environment have been well-documented and generally accepted, such as AWS’s guidance. However, organizations may still find it challenging on how to begin applying this guidance to their specific environments. In this blog series, we’ll analyze anonymized data from Netskope customers that include security settings of 650,000 entities from 1,143 AWS accounts across several hundred organizations.
Cloud misconfigurations continue to be a serious concern for organizations, and the list of security incidents caused by the exposure of data from Saas and IaaS applications only continues to grow.
Making frequent changes to cloud applications running in production is the de-facto standard. To minimize errors, engineers use CI/CD automation, techniques like code reviews, green-blue deployments and others. Git pull requests often serve as a foundational component for triggering code reviews, Slack notifications, and subsequent automation such as testing and deployments. This automated process enforces peer reviews and creates enough visibility to minimize human error.
Today’s networks are too complex for manual network management and updates. With most enterprises composed of tens of thousands of devices spanning multiple geographical locations, on-premises hardware, Virtual environment, and multiple clouds – it’s virtually impossible to push updates manually. Also – the sheer volume of vendors and coding languages can be overwhelming for a network operations engineer.
As guardians of valuable monetary assets and highly sensitive data, financial institutions are the perfect target for cybercriminals. According to IBM, the financial services sector was the number one target of cyberattacks in 2020 among all industries. This means these organizations continue to be challenged and invest heavily in both people and technology to make sure they can withstand attacks of any type.
