Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How can developers use AI securely in their tooling and processes, software, and in general? Is AI a friend or foe? Read on to find out.

Not every cybercrime is about, well, the crime. In fact, some attacks are designed to draw attention to a cause, not stolen data or paydays. Social activism has been around forever. Today, it can manifest in the physical world, of course, and increasingly we see social activism in the digital world, too, ranging from minor activist activities all the way to high-profile cybercrime incidents.

As technology develops and our reliance on technology increases for education, work, or personal use grows, so does our need for privacy-focused providers to secure our data. Although numerous services are available, deciding which is right based on your needs can be challenging. However, it is crucial to subscribe to a secure service to handle your data, as more industries are becoming victims of data breaches each year.

Cloud providers are becoming a core part of IT infrastructure. Amazon Web Services (AWS), the world's biggest cloud provider, is used by millions of organizations worldwide and is commonly used to run sensitive and mission-critical workloads. This makes it critical for IT and security professionals to understand the basics of AWS security and take measures to protect their data and workloads.

Is Salt Security a fortune teller? We’re not sure if we’d go as far as to say that, but we certainly have had our fair share of precognitive moments. In today’s virtual age where everyone is utilizing and relying on digital landscapes, people’s data is constantly being put online. As technology advances and more people go online, bad actors and cyber threats use vulnerabilities in Application Programming Interfaces (APIs) to get access to sensitive data.

For years, Microsoft has been making significant inroads in the security space, earning number-one rankings from top industry analyst firms IDC and Forrester for its endpoint and extended detection and response (XDR) security tools. Taking full advantage of these tools, however, requires some significant know-how and 24x7 staffing, prompting many to turn to a managed detection and response (MDR) service provider for help.

Artificial intelligence (AI) has seamlessly woven itself into the fabric of our digital landscape, revolutionizing industries from healthcare to finance. As AI applications proliferate, the shadow of privacy concerns looms large. The convergence of AI and privacy gives rise to a complex interplay where innovative technologies and individual privacy rights collide.

Software development practices are rapidly changing, and so are the methods adversaries use to target custom applications. The rise of loosely coupled applications, along with an impressive increase in code deployment speed, has resulted in a growing attack surface with more software architecture and imported dependencies. Application security (AppSec) teams are often outnumbered by software developers and struggle to keep up with frequent code changes.

It’s been a week. A long week. After the most recent Board of Directors meeting, your senior leadership tasked you with finding a security analytics solution. Over the last month, you’ve worked with leadership to develop some basic use cases to determine which solution meets your security and budget needs. You started your research, but everything on the market seems really overwhelming.

How is generative AI transforming trust? And what does it mean for companies — from startups to enterprises — to be trustworthy in an increasingly AI-driven world?