Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At a point in time, smart devices and robotics were common elements in the storyline of futuristic fictional novels. Today, those concepts are the modern norm across the technology industry. Similarly, in cybersecurity, pioneering professionals held on to seemingly far-fetched dreams where logs were easy to analyze, and false positives didn’t exist. While these challenges still exist, artificial intelligence (AI) is making these once far-fetched dreams the new norm in the security industry.

It wasn’t a very long time ago when cloud computing was a niche field that only the most advanced organizations were dabbling with. Now the cloud is very much the mainstream, and it is rare to find a business that uses IT that doesn’t rely on it for a part of their infrastructure. But if you are going to add cloud services to your company, you will need to choose between the private cloud and the public cloud.

A proper container security strategy involves evaluating all components in the system.

The NIST Cybersecurity Framework (CSF) has only been around for four years and while developed for critical infrastructure, resulting from Executive Order 13636, it has been widely adopted across both private and public sectors and organizational sizes. It is used inside of the US government, with 20 states using it (at last count).

Recently, a new Kubernetes related vulnerability was announced that affected the kube-apiserver. This was a denial of service vulnerability where authorized users with write permissions could overload the API server as it is handling requests. The issue is categorized as a medium severity (CVSS score of 6.5) and can be resolved by upgrading the kube-apiserver to v1.11.8, v1.12.6, or v1.13.4.

I have been on the receiving end of many vendor security assessments from customers and prospects. Here are some tips to increase the likelihood that you’ll get a timely, usable response to the next vendor security assessment that you send out.

Return on investment: is it worth the money? That is the central question both government and industry in deciding on any procurement. Demonstrating ROI on cybersecurity products is notoriously difficult and is one of the underlying reasons for the poor state of our nation’s cybersecurity posture.

Endpoint detection and response solutions – EDR as it’s more commonly known – act as enterprise surveillance and thus deliver a rich dataset to security professionals. But as with all advances in security, this rich data wasn’t always available in a speedy and cost-effective way. Yet, as a security professional in today’s always-on world, one of your key responsibilities is to efficiently leverage incoming data from every endpoint across your organization.

Artificial intelligence (AI) is used all around us and if you’ve used some sort of voice activated technology to make your life easier, then there was likely some element of AI involved. Some of the most notable examples include Siri, Amazon Alexa, Google Assistant and Tesla semi-autonomous vehicles. Individual consumers no longer have to fumble around in the dark to flip the light switch at home, manually search playlists for songs, or type in a password to get into smartphones.

With or without a security operations center, and whether your network is on premises, in the cloud, or a hybrid, you need to determine which events and indicators correlate with cyber attacks. Organizations these days face a wider range and greater frequency of cyber threats than ever before.