Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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Bolster OT Security with Graylog

Anyone tracking the evolution of the IT industry is probably familiar with the concept of Industry 4.0. Essentially, it describes the process by which traditional industrial tasks become both digitized and continually managed in an IT-like fashion via modern technologies like cloud computing, digital twins, Internet of Things (IoT) sensorization, and artificial intelligence/machine learning.

What is IoT Security? 6 Ways to Protect Your Devices

The Internet of Things (IoT) is a growing concern for today’s digitally-focused businesses. Every connected device you own can add another security concern to your list. If it collects and stores personal information and data, you’ve just added another attractive target for criminals to access your network. In fact, 57% of IoT devices are vulnerable to medium or high-severity attacks.

Quantum threat to cryptography and how to overcome this

We are familiar with quantum computing; know that it enables devices to do computations at an utterly inconceivable rate. It facilitates incredible advancements in technology. Ironically, quantum systems can make modern impenetrable cryptography hackable within seconds. Currently, quantum computers pose a high threat to the cryptography that underlies the safety of crucial networks.

Appknox Webinar: Building Org-Wide Software Security Practices

Continuing on our exciting and informative webinar series, last week Appknox hosted a webinar on 'Building Org-Wide Software Security Practices'. Organized in association with Xoxoday, the leading technology platform helping businesses manage incentives, rewards, incentives and loyalty programs, I had an amazing discussion regarding various aspects of security when it comes to org-wide business initiatives and so much more with Mr Srivatsan Mohan (VP, Xoxoday).

Five Reasons Why Speed is Important in Cybersecurity

Usually, when it comes to cybersecurity spending, people tend to try to calculate risk, savings on breach costs, compliance gaps, reputation costs. Those are all very relevant, but it turns out that for the business, one of the most important aspects of cybersecurity is speed. Below are five different aspects of speed by which a cybersecurity solution (e.g. a SIEM) should be evaluated.

Sysdig and Apolicy: Automating cloud and Kubernetes security with IaC security and auto-remediation

Today, Sysdig has completed the acquisition of Apolicy to enable our customers to secure their infrastructure as code. I am very pleased to see the Apolicy team become part of the Sysdig family, bringing rich security DNA to our company.

Automating Identity Lifecycle Management

The identification of every user making a request to a given system is vital to ensuring that action is only taken by, and information only returned to, those who need it. This happens in two steps: first, the requester is identified (authenticated), and then that identity is used to determine which parts of the application they are allowed to access.

How to Label Sites in Microsoft 365

I can’t tell you how many times I’ve been asked by customers if we can help them apply sensitivity labels at scale to data at rest in SharePoint Online. Unfortunately, I’ve had to tell them that there’s really only one option, and it’s not pretty. To date, there is no API that allow an end user to apply a sensitivity label directly to a file in a SharePoint Online site, so the only real option is to download the file locally, apply the label and then upload the file.

Robotic Data Automation (RDA): Reducing Costs and Improving Efficiencies of Your Log Management Investment

People’s involvement has been inevitable with log management despite advancements in ITOps. Log management at a high level collects and indexes all your application and system log files so that you can search through them quickly. It also lets you define rules based on log patterns so that you can get alerts when an anomaly occurs. Log management analytics solution leveraging RDA has been able to detect anomalies and aid predictive models over a machine learning layer.