The use of Large Language Models (LLMs) is the fine tuning AI engines like ChatGPT need to focus the scam email output to only effective content that results in a wave of new email scams.
Affinity phishing scams are ones in which criminals cultivate trust in their prospective victims by trading on common background, either real or feigned. Thus a fraudster might claim a common religion, a shared military background, membership in a profession, or a common ethnicity, all with the goal convincing the victim that they can be trusted. What follows all too often one can readily imagine.
In the past year, we’ve shifted our infrastructure from a single Amazon Web Services (AWS) account owned by our Platform team to multiple domain-specific accounts. For each product domain and environment, we have created AWS accounts, which has allowed us to improve stability and security by reducing the blast radius. This setup also provides excellent scalability with good cost observability across the organization.
AI coding is here, and it’s transforming the way we create software. The use of AI in coding is actively revolutionizing the industry and increasing developer productivity by 55%. However, just because we can use AI in coding doesn't mean we should adopt it blindly without considering the potential risks and unintended consequences.
All businesses, regardless of size or industry, are potential targets for cybercriminals. As businesses become more aware of the importance of password security in preventing data breaches, they focus on the most obvious areas of weakness, such as employee email accounts and network passwords. However, social media passwords present unique security challenges that organizations may be ill-prepared to handle.
Small and medium-sized businesses account for 4.17 percent of private sector employees and almost half of the United States’ gross domestic product , yet—due to limited finances, resources, and staff—many have difficulties when it comes to supply chain management. Geopolitics, inflation, and worker shortages are just a few variables that can impact supply chains; 86% of SMB supply chains have already been or expect to be impacted by Russia’s war in Ukraine.
We all accept a certain degree of risk in our lives. So, to varying degrees, we’re all operating – to use cybersecurity parlance – with an assume breach mindset. Meaning, we accept that attacks are inevitable and, as such, we focus time and effort on protecting the assets that matter most. In short, we buckle up for safety.
In late 2022, SafeBreach commissioned S&P Global Market Intelligence to conduct a research project surveying 400 highly qualified security practitioners across the United States and Europe. The goal was to understand respondents’ biggest security challenges, the level of adoption and maturity of the continuous security validation (CSV) tools they use to address those challenges, and the business outcomes they achieved.
Long popular in the military, “readiness and resiliency” is a staple of cybersecurity, too. It makes sense. Both institutions value (1) being alert to threats and risks while (2) recognizing that the types of threats and risks themselves are less important than the reaction to them. But how companies PERCEIVE risk is often very different from how they TAKE ON risks. Over 90% of my penetration tests have concluded with successful entry into “secure” environments.
