Engineers tend to see the world in terms of tradeoffs. Certainly, successful product or solution design requires a clear understanding of the problem to be solved and the associated constraints, and then making informed tradeoffs to solve the problem within the constraints. Tradeoff thinking also applies to successful software due diligence.

Conventional cybersecurity management solutions are becoming outdated, unable to handle the exponential growth of sophisticated security threats. Plus, financial and talent constraints impede the ability of security teams to expand. Given those difficult circumstances, how can security teams improve their capacity to minimize data breaches even amid today’s increasingly complex attack surfaces? Enter cybersecurity automation.

Bitsight and Google have collaborated to study global organizational performance across cybersecurity controls in the Minimum Viable Secure Product (MVSP) framework. Amid heightened stakeholder demands, security leaders, board members, and executives are all asking how they can better inform their cybersecurity strategy through benchmarking, keep up-to-date with current cyber risks, and prioritize budgets and workforce readiness to meet the latest challenges.

My career began with read-only access. In my first job, I worked night shifts in a data operations center. Our team handled incidents identified either by monitoring or from end customers. This meant I often had to perform first, second and third-line troubleshooting. If we couldn’t identify and resolve the issue, our only option was to wake up a rather exhausted escalation engineer.

To build a successful business you’ll need to acquire new customers, save on costs, and avoid major pitfalls that could impact your bottom line. An important aspect of this is managing your organization's compliance risk. These include the risk of penalties, legal judgments, and other issues that could come as a result of not complying with legal regulations and industry standards.

The United States enacted the Federal Information Security Management Act (FISMA) in 2002 as part of the E-Government Act of 2002 to enhance the administration of electronic government services and operations, and since has been amended by the Federal Information Security Modernization Act of 2014 (FISMA 2014). This law requires federal agencies to develop, implement, and maintain an information security program to protect the sensitive data they handle.

We are thrilled to announce the launch of our new website, a testament to Obrela’s commitment to excellence in the ever-evolving landscape of cybersecurity. As part of this commitment, we have revamped our website to provide you with an enhanced experience, making it easier for you to explore and discover more about our cutting-edge solutions.

Artificial intelligence (AI) is poised to significantly influence various facets of society, spanning healthcare, transportation, finance, and national security. Industry practitioners and citizens overall are actively considering and discussing the myriad ways AI could be employed or should be applied.

‍ The use of risk matrices for decision-making purposes extends back to the 1980s when the US Department of Defense needed a quick and easy way to evaluate hazards in safety systems engineering. Since then, the matrix has been applied in multiple fields to assess potential results and their associated risks, emerging as an instrumental tool for organizations grappling with making high-level strategic investments. ‍

Software liability is an increasingly important area for every software development company and team. At its core, software liability is about protecting users from damages caused by software issues. As more software is in use than ever before, there’s a lot of ways that software — and its manufacturers — could be held responsible for certain actions or inactions. Indeed, even the rise of cyber insecurity globally could fall into this murky area.