As of October 2, 2026, Interpol’s warning is blunt: AI is not creating new cybercrime, it is accelerating the old kind. Bjorn R. Watne, its global chief information security officer, told CNBC at Tech Week Singapore that it is “an evolution and not a revolution,” with AI primarily increasing the speed and scale of existing techniques.
Key Takeaways
- ■ Interpol’s CISO calls AI an “evolution and not a revolution” — it accelerates existing scam techniques.
- ▼ The ESRB warns the exploit-to-widespread-automation interval could fall from weeks to hours.
- ▲ Interpol advises firms to identify “crown jewels” and tailor defenses to specific adversaries.
- ▼ Agentic AI acting for users raises real-world risk, and cyber oversight has not reached many boardrooms.
An Evolution, Not a Revolution
AI enhances existing criminal techniques — mass victim targeting, improved translation, and synthetic digital identities that blur fraudulent interactions — and lets scam operators target multiple victims simultaneously, according to Watne.
What Should Companies Protect First?
Businesses should first identify their “crown jewels” — the assets most critical to keeping operations running — determine who would want to steal or disrupt them, then use threat intelligence on those adversaries to tailor defenses. “There is no need for everyone to try and protect against everything all at once when they’re not being targeted by it,” Watne said.
The Exploit Window Is Shrinking
The systemic picture is starker. In a speech, ECB President Christine Lagarde cited the European Systemic Risk Board’s warning that “the interval between an initial exploit and widespread automated exploitation could fall from weeks to hours.” The ESRB expects attackers to hold an advantage in the short to medium term.
Why Agentic AI Raises the Stakes
Watne is particularly wary of agentic AI acting on users’ behalf. Per CNBC’s report, he warned that when an AI performs wrong actions, “especially in the physical domain, that can have consequences on bodily harm of humans” — a concern he linked to AI in cars and self-driving vehicles. He also flagged a governance gap: per CNBC, cybersecurity has “yet to fully make its way into the boardroom at many companies.”
Who Pays for the AI Arms Race?
Accenture’s stock closed up roughly 16% after a 22% intraday surge on its fiscal fourth-quarter beat, and CEO Julie Sweet told CNBC, “We’ve just finished the year with $85 billion of new business going into next year,” driven by AI and data transformation deals. Lagarde told La Croix that governments “are competing with sizeable private financing needs, particularly related to artificial intelligence.”
What to Watch Next
Watch whether AI-assisted scam speed and scale keep compounding; whether regulators’ capital frameworks — like the Federal Reserve’s stress-test overhaul, expected to cut capital-requirement volatility by roughly 50% — keep pace with AI-driven cyber risk; and whether boards close the oversight gap. As President Trump’s claim that South Korea will invest “up to $200 billion” in U.S. energy projects — conditioned by President Lee on financial viability and legal compliance — shows, claims belong to their speakers until contracts say otherwise.
What did Interpol say about AI and cyber threats?
Global CISO Bjorn R. Watne told CNBC it is “an evolution and not a revolution”: AI primarily increases the speed and scale of existing criminal techniques.
How fast could AI-enabled cyberattacks become?
The ESRB warns the exploit-to-widespread-automation interval could fall from weeks to hours; the latest models aced every step of a simulated 32-step attack.
What should companies do first?
Identify crown-jewel assets, determine which adversaries would target them, and tailor defenses using threat intelligence instead of defending against everything at once.
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Disclaimer: This article is for informational purposes only and does not constitute financial advice. Cryptocurrency investments carry significant risk. Always conduct your own research before making investment decisions.
