With an increased amount of embedded software and connectivity features, electric vehicle security is essential. For that reason, it is important that you understand electric vehicle security concerns, how coding standards can help mitigate those risks, and what tools you should use.

Currently, electric vehicles make up less than 1% of cars currently on the road, according to global business-focused news organization, Quartz. However, within the next decade that will rapidly change. By 2040, it is estimated that electric vehicles will make up roughly 33% of all cars on the road, according to a Bloomberg New Energy Finance study.

With the rise of virtual production, creative pipelines are becoming increasingly complex, and dispersed. Team members around the globe need to collaborate remotely. This can create security vulnerabilities, which can range from misconfigured SSL settings to expiring certificates. To help studios protect what matters most, the Trusted Partner Network (TPN) created an evaluation process to standardize fundamental security protocols, across the industry.

Across industries, we’re seeing more use of digital twins in manufacturing. Digital twin visualization technology pairs well with the sensors that manufacturers use to gather vital information on production processes. Now, the information being collected via smart manufacturing systems can be incorporated into visual, interactive models. These models help teams drive innovation.

Last week, Perforce announced our 12th acquisition, the BlazeMeter Continuous Testing Platform – a great addition to our DevOps at Scale portfolio. I’d like to welcome the Blazemeter team to the Perforce family. Throughout our conversations leading up to the acquisition, it was clear that we were dealing with a world-class product, and a world-class team. We are excited to add both to Perforce and look forward to the things we will accomplish together.

Following up on an earlier blog post where we discussed what is product lifecycle management for semiconductors, in this blog we will delve deeper into the challenges that PLM presents for a semiconductor design environment. Although PLM tools have seen some success in industries such as defense, automobile, aerospace, and others with large design teams and well-established methodologies, the adoption rate in the semiconductor space has been slow.

The severity and ingenuity of cyberattacks continues to increase as malicious actors become more proficient, breaking through the software layers and aiming to also compromise hardware like integrated circuits. Relative to software, it is much more difficult to patch security vulnerabilities in ICs – making early identification of IP security weaknesses increasingly important.