As the partnership between Snyk and GitGuardian continues to grow, we’ve collaborated on a new cheat sheet that identifies key security considerations and tools that can help you mitigate risks and protect your code. The journey from code to cloud and back to code necessitates a holistic approach to security.

Gartner Hype Cycle for 2023 assesses the levels of maturity, adoption, and societal effects associated with emerging technologies in the field of Application Security. The 2023 report serves as a valuable resource for organizations seeking insights into the influence of security technologies on their applications. It also highlights the market leaders in the respective fields - Appknox being this year's leading vendor in mobile application security testing.

The rise of the cloud has been a remarkable and transformative switch from physical devices to storing our files online. What surfaced in the late 90s is today so commonplace that every business in this world—big or small—has something on the cloud. The cloud has changed the future of data storage and accessibility forever. One can rightly say that the cloud was the stepping stone to digital transformation. The popularity of mobile devices is not surprising either.

It is not very often that we see cybersecurity vendors put aside competitive differences and ambitions to work towards a common goal that benefits the entire cybersecurity community. The Open Cybersecurity Schema Framework (OCSF) has shown to be an example of a productive industry-wide collaboration to facilitate a more secure environment for businesses, governments and individuals all over the globe.

In today's world, cybercriminals are learning to harness the power of AI. Cybersecurity professionals must be prepared for the current threats of zero days, insider threats, and supply chain, but now add in Artificial Intelligence (AI), specifically Generative AI. AI can revolutionize industries, but cybersecurity leaders and practitioners should be mindful of its capabilities and ensure it is used effectively.

As technology continues to evolve, there is a growing concern about the potential for large language models (LLMs), like ChatGPT, to be used for criminal purposes. In this blog we will discuss two such LLM engines that were made available recently on underground forums, WormGPT and FraudGPT. If criminals were to possess their own ChatGPT-like tool, the implications for cybersecurity, social engineering, and overall digital safety could be significant.

ChatGPT continues to lead the news cycle and increase in popularity, with new applications and uses seemingly uncovered each day for this innovative platform. However, as interesting as this solution is, and as many efficiencies as it is already providing to modern businesses, it’s not without its risks.

Like other under-resourced organizations, schools face cyber attacks from malicious actors that can impact their ability to safely perform their basic function: teach children. Schools face email, phishing, and ransomware attacks that slow access and threaten leaks of confidential student data. And these attacks have real effects. In a report issued at the end of 2022, the U.S.

Technology has greatly transformed the automotive industry, bringing both advancements and new challenges. The reliance on connectivity and software in cars has opened the door to cyber threats, making cybersecurity a crucial concern for the automobile industry. With the increasing complexity of modern cars, there are now around 150 Electronic Control Units (ECUs) and an astonishing 100 million lines of code. Even simple functions like opening car windows require multiple software systems.

Today’s discussions on AI are often affected by emotions like fear and awe, as well as the fact that AI is reduced to large language models (LLM) — but this isn’t the entire story. So, let’s step back from these fears and dig into the data explaining why AI is richer than LLMs.