Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Here’s an unsettling truth: While 80% of organizations are adopting AI, only 6% have any form of AI security strategy in place (SandboxAQ 2025 AI Security Benchmark report). It’s like buying a Porsche 911 without locks or keys, a cash-guzzling public service car whose cost you’re apparently happy to bear.

Today, APIs power everything from mobile apps to cloud platforms, quietly moving data behind the scenes. That invisibility makes them prime targets. Over 84% of organizations experienced API security incidents last year, with breaches exposing ten times more data than in traditional attacks. Attackers now deploy AI-powered tools that map endpoints in minutes and exploit business logic flaws your defenses can’t see.

Artificial intelligence is increasingly ingrained in every aspect of healthcare diagnostics, financial systems, autonomous vehicles, and critical infrastructure. Still, the reality has set in: these systems are under threat unlike anything we have seen, and existing cybersecurity frameworks were never designed to handle AI-specific threats.