Data privacy under GDPR is crucial in today's digital age. With increasing data breaches, understanding and protecting personal information is vital. The General Data Protection Regulation (GDPR) plays a significant role in safeguarding personal data and Personally Identifiable Information (PII). GDPR, implemented in 2018, sets strict guidelines on data protection for individuals within the EU.

Since starting my internship at Keeper Security, I’ve had the opportunity to enter into the world of cybersecurity, particularly surrounding the role of password management. This eye-opening experience has not only educated me on the dangers of an unprotected online presence, but it’s also encouraged me to follow cybersecurity best practices in my personal and academic life.

Companies spend a huge amount of their budget trying to build, manage, and protect cloud environments. Since there is no industry standard for sharing data feeds between development and security, each team is on an island trying to figure out how to keep their side of the room clean. The most robust security incident response teams understand the incredible value of using observability telemetry for security workflows, but are unsure how to make it happen in practice.

Generative AI (GenAI) is a top priority for organizations looking to increase productivity and solve business problems faster. In cloud security, AI chatbots to aid security practitioners are becoming more common, but to date, most of these solutions offer only basic queries and summarization. Diverse cloud environments and evolving threats require more from an AI security analyst.

Ransomware attacks continue to pose a growing threat to organizations as it has emerged as the number one threat, affecting 66% of organizations in 2023 and pulling over $1 billion from the victims. These attacks have increased in frequency and sophistication, resulting in significant financial loss, operation disruption, theft of sensitive data, and reduced productivity rates. Also, it damages the organization's reputation and results in the loss of customer trust and compliance violations.

Artificial Intelligence (AI) and Large Language Models (LLM) have revolutionized numerous industries, from healthcare to finance. However, with this rapid adoption comes new risks, one of which is prompt injection. This emerging threat has significant implications for the security, ethics, and reliability of AI systems.

‍ ‍ ‍One of the most simultaneously exciting and challenging aspects of working in the cybersecurity industry is that the risk landscape and management practices never stop evolving. Additional data is continuously being gathered, and new frameworks are constantly developed to help organizations better assess, measure, and secure themselves against threat actors poised to exploit system weaknesses.