Ransomware has evolved significantly over the past decade, transforming from crude DIY tool kits to sophisticated ransomware-as-a-service (RaaS) models and, more recently, to AI-assisted attacks. This progression has not only lowered the barrier for cybercriminals but also amplified the scale, speed and complexity of attacks. To keep pace, organizations need to

In today’s digital-first economy, application security is both mission-critical and perpetually in flux. As businesses pivot to cloud architectures, microservices and APIs, the old guard of static scanning and manual processes can’t keep pace with modern development—and cybercriminals know it. Organizations are facing a perfect storm of fragmented tools, relentless

Cybersecurity teams are under constant pressure to defend against increasingly sophisticated attacks. To combat these challenges, the ability to leverage artificial intelligence (AI) has emerged as a transformative force in cybersecurity management, providing advanced tools for detection, prevention, and response. But AI is not a monolithic technology—it spans a wide

Cybersecurity teams are under constant pressure to defend against increasingly sophisticated attacks. To combat these challenges, the ability to leverage artificial intelligence (AI) has emerged as a transformative force in cybersecurity management, providing advanced tools for detection, prevention, and response. But AI is not a monolithic technology—it spans a wide

Artificial Intelligence is playing defense as well as offensive roles in today’s digital era. While organizations are increasingly using AI to strengthen security, cybercriminals are also using it to create advanced attacks. This creates a high-stakes game of cat and mouse, where AI technologies are employed to protect data and