Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Implementation of a DevSecOps approach is the most impactful key factor in the total cost of a data breach. Successful DevSecOps in a cloud-native world is aided by the right tools. Here are a handful of the most essential cloud security tools and what to look for in them to aid DevSecOps.

McKinsey is calling 2023 “generative AI’s breakout year.” In one of their recent surveys, a third of respondents reported their organizations use GenAI regularly in at least one business function. But as advancements in AI continue to reshape the tech landscape, many CCISOs are left grappling with this question: How does AI impact software development cycles and the overall security of business applications?

I am not scared of AI. What I mean is that I do not think AI is going to kill humanity Terminator-style. I think AI is going to be responsible for more cybercrime and more realistic phishing messages, but it is already pretty bad. Social engineering, without AI, is already involved in 70% - 90% of successful cyber attacks.

How do you reinforce hardware against unauthorised access and attacks? Implementing hardware security is critical, and understanding it helps protect enterprise systems at every level. In this blog, we explore seven fundamental strategies to shield your organisation from hardware-related threats.

While working towards a mission of building better, more secure mobile applications, the Open Web Application Security Project (OWASP) has spearheaded this effort with the Mobile Application Security Verification Standard (MASVS) and the Mobile Application Security Testing Guide (MASTG). These invaluable resources provide a comprehensive framework for safeguarding your mobile apps, ensuring trust, and protecting user data.

In 2017, Equifax, a major American credit bureau, became a cautionary tale in the importance of robust cybersecurity practices. It overlooked critical vulnerabilities in its systems, failing to address a known security flaw in its Apache Struts web app framework. This oversight resulted in the data leak of 143 million customers, costing Equifax $1.38 billion in making breach compensations and upgrading its IT systems.

In my previous blog post, we saw how the growth of generative AI and Large Language Models has created a new set of challenges and threats to cybersecurity. However, it’s not just new issues that we need to be concerned about. The scope and capabilities of this technology and the volume of the components that it handles can exacerbate existing cybersecurity challenges. That’s because LLMs are deployed globally, and their impact is widespread.

In 2022, Twitter suffered a massive data breach, which exposed the personal data of 5.4 million caused by broken authentication. Threat actors exploited Twitter's API vulnerability to gain unauthorized access to users' sensitive personal data. The incident resulted in reputational loss and hefty fines from the regulatory body for failing to protect users' data. This shows that no organization, regardless of size, is immune to data breaches.

Your mobile apps are your business's face to the world. As an app creator or business owner, credibility is everything, and security is the cornerstone upon which it stands. Now, with the digital ecosystem being highly susceptible to breaches, even a single slip in security can shatter the trust your users have in your brand, tarnishing the hard-earned credibility of your business. This is why mobile app security is key to your business’s growth.