As AI becomes more deeply integrated, the sensitive data these systems rely on will become “an increasingly attractive target”, with more AI-enabled attack methods “poised to occupy a growing share of the threat landscape,” according to Michael Garvin, CISO at Jaggaer. As a result, he believes data security posture management will also become more important. “Because AI depends on large volumes of high-quality, sensitive data, organizations will need better visibility into how that data is accessed, classified, and protected.”
For Gergana Winzer, partner and cyber security mid-market lead at KPMG, the real threat with AI is not just scale, but autonomy. She warns that AI-driven attacks will increasingly make their own target and execution decisions, reducing the need for human involvement. “Everything can be automated today, not only on the side of companies, but also on the side of the criminals,” she says, raising questions about how AI-enabled threats could extend beyond the digital realm into the physical world through AI-powered drones, for instance.
Security teams will consolidate visibility and automate response
When asked about what else 2026 could mean for the global security industry, Ramsay Healthcare CISO Manal Al-Sharif believes AI will play a crucial role in helping consolidate telemetry into a single view. “When you bring everything in, it’s easy to triage and prioritize,” she says. “Having that single point of view means you’re correlating everything at the same time, so you know where you’re exposed most … [and] before those threats become incidents.”
