The Kubernetes community created a feature in v1.10 called Pod Security Policy (PSP) to control the security-related fields for pods defined in your Kubernetes cluster. Now that PSP is being deprecated in Kubernetes v1.21, what should you do to secure your Kubernetes cluster? In this blog, we’ll learn a bit about PSP, explore why it’s being deprecated and how Open Policy Agent (OPA) can ease the migration from PSP.
As a quick note, I have a personal history with .NET, including time working at Microsoft as a .NET evangelist. And I’ve briefly met Anders Jejlsberg, the designer of C# and Typescript, so this blog is a bit personal for me. We are happy to announce that Snyk Code scans for security vulnerabilities and provides remediation suggestions for yet another language: C#. This adds a major language to our portfolio which includes support for Java, JavaScript, TypeScript, and Python.
Application security remains a top concern for organizations, making the need for skilled cybersecurity professionals as urgent as ever. Nearly half of security practitioners in high-performing enterprises who participated in a recent Ponemon Institute research report about reducing enterprise security risks stated that hacks to insecure applications are their organization’s biggest concern.
People love to talk about zero trust right now, for a number of reasons. It has the word “zero” in there, which has some history in the information security world (e.g., zero-day vulnerabilities). It’s also a simple and eye-catching phrase, so it fits well into product marketing exercises.
Major sporting events, like the World Cup or the Olympics, are usually targets of cybercriminals that take advantage of the event’s popularity. During the 2018 World Cup, for example, an infected document disguised as a “game prediction” delivered malware that stole sensitive data from its victims, including keystrokes and screenshots.
MongoDB is one of the most popular open-source databases. Unfortunately, this also means ubiquity of misconfigured and unsecured MongoDB deployments out in the wild. Just in recent years, we’ve seen several hacks involving thousands of MongoDB databases left exposed online without any protection, making them ripe for the hacker’s picking. It doesn’t have to be this way, though.
Scammers target businesses with phishing emails all the time, pretending to be legitimate customers or vendors asking for payment. While any company can be vulnerable to this type of attack, small- to medium-size companies are particularly vulnerable because it is easier for a scammer to do a bit of research online and identify the right people to impersonate or send a phishing email to.
As we’ve shown in a previous blog, search-based detection rules and Elastic’s machine learning-based anomaly detection can be a powerful way to identify rare and unusual activity in cloud API logs. Now, as of Elastic Security 7.13, we’ve introduced a new set of unsupervised machine learning jobs for network data, and accompanying alert rules, several of which look for geographic anomalies.
What is it about Devo that enticed you to join the company? If you look at my history, you’ll quickly realise I am passionate about two things: data and cybersecurity. One other passion that is not widely known is that I am a bit of a graph-processing fanatic. Solving problems in the modern security landscape isn’t just about collecting loads of data — which Devo does well — but how you can turn that data into actionable intelligence.
Let’s take a trip — back about eight years — when a Gartner analyst coined the term endpoint detection and response (EDR). He was describing security systems that both detect and investigate suspicious activities on computers and other devices and use automation to help security operations center (SOC) teams quickly identify and respond to threats. Since then, EDR has become a critical component of a modern security stack for organizations of all sizes.
