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Artificial Intelligence is rapidly transforming healthcare. From automating administrative tasks to supporting clinical decision-making, AI is helping healthcare professionals work more efficiently, reduce burnout, and improve patient outcomes. Hospitals, clinics, insurers, and healthcare technology companies are increasingly integrating AI into everyday operations. However, with these opportunities come significant risks and responsibilities. The safe use of […]

Phishing emails remain one of the most common and successful forms of cybercrime worldwide. Despite years of awareness campaigns, improved spam filters, and sophisticated security tools, attackers continue to exploit one simple truth: it’s easier to manipulate people than it is to break through well-defended systems. Phishing is not just a technical problem. It’s a

Healthcare is one of the most targeted sectors for cyberattacks and one of the least able to tolerate downtime. When systems fail, it’s not just data at risk. It’s patient safety, clinical continuity, regulatory standing, and public trust. An effective incident response (IR) program in healthcare must go beyond compliance. It must be operationally embedded,

Artificial Intelligence is no longer a future concept, it is embedded in our daily lives. From email assistants and search engines to customer service bots, security tools, and decision-making systems, AI is now a core part of how we work, communicate, and operate. While AI offers enormous benefits in efficiency, insight, and automation, it also

Editor’s Note: This is Part 1 of our comprehensive 2-part series exploring agentic AI in cybersecurity. In this first post, we’ll examine what agentic AI is, how it’s being deployed across cybersecurity operations, and the transformative benefits organizations are already experiencing. Part 2 will dive deep into the security risks, ethical challenges, and practical implementation strategies

Editor’s Note: This is Part 1 of our comprehensive 2-part series exploring agentic AI in cybersecurity. In this first post, we’ll examine what agentic AI is, how it’s being deployed across cybersecurity operations, and the transformative benefits organizations are already experiencing. Part 2 will dive deep into the security risks, ethical challenges, and practical implementation strategies

The Challenges of Agentic AI: Security Risks, Ethics, and Implementation Strategy In Part 1 of this series, we explored agentic AI in cybersecurity and how it is transforming the industry operationally, from threat detection and SOC automation to vulnerability management and incident response. The promise is compelling: faster response times, reduced analyst fatigue, and security

The PCI DSS (Payment Card Industry Data Security Standard) covers data protection rules that all merchants handling payment card account data must comply with. Failure to comply with its rules not only puts customers at risk of fraud, but also leaves non-compliant firms at risk of data breaches, fines or penalties, and reputational damage. This

In today’s industrial and critical infrastructure sectors, Operational Technology (OT) plays a vital role and OT cybersecurity is emerging as an evermore critical requirement of organisations within the healthcare sector. OT encompasses the hardware and software systems that monitor and control physical devices, processes, and industrial operations. Unlike traditional IT systems, OT is responsible for

In today’s healthcare environment, patient information is increasingly digitized, stored in electronic health records (EHRs), and transmitted across networks for clinical, administrative, and billing purposes. While this digital transformation has streamlined healthcare delivery and improved outcomes, it has also introduced significant cybersecurity challenges. Protecting patient data is not only an ethical obligation but also a