We knew this day would come. June 2026 Patch Tuesday broke the record, and July blew the record out of the water. July is the first time in Patch Tuesday’s history that over 500 CVEs were patched in a single month, with a staggering 569 CVEs patched, breaking last...

As AI transitions from personal assistant to business identities, traditional cybersecurity controls are too insufficient to manage risk. Organisations must adapt their security strategies to account for a new category of privileged identity: the AI agent. 

The traditional cybersecurity landscape—dominated by legacy firms with massive, proprietary datasets of past attacks—is undergoing a disruptive shift. According to recent Gartner research, the future of defense belongs to agile companies leveraging Hyper-Synthetic Data (HSD). HSD is entirely synthetic data generated by LLMs and machine-learning models to simulate highly specific, realistic cyber environments and advanced adversary behaviors. As threat actors deploy sophisticated AI automation, such as token exhaustion attacks, organizations must move from proactive response to preemptive mitigation. Because testing unproven autonomous agents in live production systems poses severe risks, HSD acts as a safe, cost-effective “proving ground” for national security, finance, and healthcare sectors. While legacy vendors struggle to model complex IT infrastructures, HSD enables continuous validation and high-fidelity testing against novel, never-before-seen threats. Gartner predicts HSD usage in vital sectors will skyrocket from 15% to 80% by 2030.The traditional cybersecurity landscape—dominated by legacy firms with massive, proprietary datasets of past attacks—is undergoing a disruptive shift. According to recent Gartner research, the future of defense belongs to agile companies leveraging Hyper-Synthetic Data (HSD). HSD is entirely synthetic data generated by LLMs and machine-learning models to simulate highly specific, realistic cyber environments and advanced adversary behaviors. As threat actors deploy sophisticated AI automation, such as token exhaustion attacks, organizations must move from proactive response to preemptive mitigation. Because testing unproven autonomous agents in live production systems poses severe risks, HSD acts as a safe, cost-effective “proving ground” for national security, finance, and healthcare sectors. While legacy vendors struggle to model complex IT infrastructures, HSD enables continuous validation and high-fidelity testing against novel, never-before-seen threats. Gartner predicts HSD usage in vital sectors will skyrocket from 15% to 80% by 2030.

If you caught my keynote at NetApp INSIGHT, you heard me say it loud and clear: NetApp’s data platform is the only hyperscaler-neutral, hypervisor-neutral data platform in the world. That’s not just a tagline — it’s a foundational advantage with data, clouds, and the...