News DeskDubai, UAE – Palo Alto Networks, the global cybersecurity company, has forecast a fundamental shift in the digital risk landscape in 2026, driven by the rapid emergence of the AI economy and the widespread adoption of autonomous AI agents across enterprises.
In a new report titled “6 Predictions for the AI Economy: 2026’s New Rules of Cybersecurity”, released in Dubai on December 15, the company said artificial intelligence is set to transform productivity and operations worldwide, while simultaneously redefining cybersecurity threats across identity, data, quantum computing, security operations centres (SOCs) and enterprise browsers.
The company said its earlier forecast of 2025 as the “Year of Disruption” has already materialised, with cyberattacks reaching unprecedented scale and impact. According to Palo Alto Networks’ Unit 42 threat intelligence team, 84 per cent of major cyber incidents investigated this year resulted in operational downtime, reputational damage or direct financial loss, largely due to supply chain vulnerabilities and increasingly sophisticated attacks.
Looking ahead, the report predicts 2026 will mark the “Year of the Defender”, as AI-driven security capabilities begin to outweigh attacker advantages by reducing response times, improving visibility and lowering operational complexity.
Wendi Whitmore, Chief Security Intelligence Officer at Palo Alto Networks, said AI adoption is reshaping cyber risk but also creating a major opportunity for defenders. She noted that attackers are already using AI to scale threats across hybrid workforces, where autonomous agents are expected to outnumber humans by an estimated 82 to one.
“To counter this, organisations must move from reactive security models to proactive, intelligent defence that actively manages AI-driven risk while enabling innovation,” Whitmore said.
The report highlights identity as the primary battleground in 2026, warning that real-time AI deepfakes and “CEO doppelgängers” could make digital forgery virtually indistinguishable from reality. A single forged instruction, it said, could trigger cascading automated actions across enterprises, forcing identity security to evolve into a proactive business enabler.
Another major risk identified is the rise of autonomous AI agents as a new form of insider threat. While these agents are expected to help bridge the global cybersecurity skills gap and reduce alert fatigue, their privileged access makes them highly attractive targets for attackers seeking to turn them into “autonomous insiders”.
Haider Pasha, Chief Security Officer for EMEA at Palo Alto Networks, said the impact of agentic AI will be especially significant in the region due to a widening talent gap and a complex operating environment spanning multiple languages, clouds and jurisdictions.
“Future cyberattacks will inevitably target this new AI agent workforce,” Pasha said. “Our focus must be on deploying agents that are trusted, supervised and secured with zero-trust architecture from the ground up to ensure operational resilience.”
The report also warns of a growing “crisis of data trust”, as attackers increasingly target AI training data through data poisoning, and predicts the first major lawsuits holding executives personally liable for rogue AI actions by 2026. With only six per cent of organisations currently having advanced AI security strategies, the company said AI risk management is set to become a board-level priority.
Other key predictions include the accelerating threat of quantum computing, which could render today’s encrypted data vulnerable within three years, and the emergence of the browser as the new enterprise operating system, creating a vast and largely unsecured attack surface as generative AI traffic continues to surge.
Palo Alto Networks said organisations must adopt unified, AI-native security platforms and long-term crypto agility to navigate the autonomous economy safely, as cybersecurity becomes central to business continuity, governance and innovation in the years ahead.
