Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The 2025 State of AI Data Security Report reveals a widening contradiction in enterprise security: AI adoption is nearly universal, yet oversight remains limited. Eighty-three percent of organizations already use AI in daily operations, but only 13 percent say they have strong visibility into how these systems handle sensitive data. Produced by Cybersecurity Insiders with research support from Cyera Research Labs, the study reflects responses from 921 cybersecurity and IT professionals across industries and organization sizes.

Here's something that should keep you up at night: cybercrime might cost the global economy $10.5 trillion every year by 2025. That's not a typo. Traditional security measures? They're already struggling to keep pace. Attackers have figured out how to weaponize artificial intelligence, launching sophisticated campaigns that waltz right past conventional defenses like they're invisible.

In this new wave of machine-driven decision-making, the paradigm shift in artificial intelligence towards increasing autonomy is becoming increasingly significant. Autonomous or agentic AI systems, those capable of acting on their own and acclimatising themselves to new environments, are redefining the space by taking actions towards a goal without direct human intervention. Although this is exciting in terms of what it will enable for AI driven processes and creativity, it also introduces a more advanced set of security risks to contend with when dealing with autonomous based AI systems.