Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Generative AI has transformed software development almost overnight. From coding assistants to AI-native applications, tools are evolving faster than most teams can keep up with. But the rapid evolution of AI comes with its own cost: mental fatigue. Even among AI developers, most don’t consider themselves experts in generative AI. Between shifting tools, growing security risks, and a flood of hype, it’s no surprise that developers and security teams feel overwhelmed.

How many times have you heard the phrase “don’t trust strangers”? The key point today is that many strangers disguise themselves as someone familiar, and that misplaced trust is what leads us to be deceived. Cybercriminals widely use this tactic, and it has a very specific name. Have you ever asked yourself, 'What is social engineering in cybersecurity?' A social engineering attack leverages human psychology through manipulation.

Picture this: You’re in the middle of dinner with friends when your work phone buzzes. It’s the fraud supervisor with alarming news: Low-value transactions are suddenly flooding your servers. Your gut tightens as you hastily excuse yourself and head straight to the office to help secure your customers’ accounts against what turns out to be a Bank Identification Number (BIN) attack.