With fines and breach notifications seeing double digit growth year after year, what do organizations need to know as the GDPR approaches its third anniversary?
Developers have been increasingly targeted by attackers. Compromising a single developer enables attackers to embed malicious code into a company's products. If that product is then used by other companies, the malware can spread to their systems in a supply chain attack.
Ruby Zefo, CPO of Uber, talks about her career and and shares her thoughts on the theology of privacy, which she breaks down into three pillars of challenges – laws, customers and technology.
The number of cyberattacks continues to rise and organisations need to come to terms with the fact that traditional approaches to mitigating the effects of malicious attacks may no longer be viable. One of these approaches is to harness the power of big data technology to help companies improve their proactive and reactive cyber-defence capabilities. David White and Annie Tu examine how old approaches may be found wanting and a paradigm based on new defence models can help companies not only stop hackers, but also help to better identify and respond to malicious activities.
The Ohio law represented a novel approach to data protection by providing safe harbor if the entity’s cyber security program conforms to industry recognized cybersecurity frameworks or federal regulations cited in the Act.
Much like the state privacy legislation that have come before it, the Maryland Online Data Privacy Act of 2024 (MODPA) includes its own unique provisions that will add additional complexities to an organization's compliance efforts and data use strategy.
The concept of self-sovereign identity (SSI) is gaining interest as it allows users to selectively prove specific aspects of their digital identity using credentials stored in digital wallet.
Biometric technology is advancing rapidly and regulations need to keep up. What are some of the challenges and how they should be addressed to secure digital data?
APIs power the digital experiences of consumers today. However, as API use increases, so do security risks because APIs are easy to deploy but hard to control.
The focus is now turning to the cybersecurity implications of ChatGPT and other AI/machine learning (ML) platforms especially after the recent OpenAI security incident. What are some of the key security considerations that organizations need to consider before they explore how to utilize new AI/ML solutions?
