Enterprises worldwide are ramping up their cybersecurity measures in 2026 as cyberattacks grow increasingly sophisticated, driven by advancements in artificial intelligence (AI). Recent reports indicate that phishing attacks surged over 1000% in the past year, largely attributed to the emergence of generative AI tools. According to Cybersecurityventures, the number of AI-driven cyberattacks saw a 47% increase globally in 2025, a trend underscored by Cisco’s 2025 Cybersecurity Readiness Index, which revealed that nearly 86% of business leaders overseeing cybersecurity experienced at least one AI-enabled incident in the past year.
India has not been immune to this wave of cybercrime, with cybersecurity firm Check Point reporting that Indian organizations faced an average of 2,011 cyberattacks per week in 2025, significantly surpassing global averages. The education sector was notably the most targeted, with institutions encountering between 4,248 and 9,817 attacks weekly, outpacing other industries such as telecommunications, healthcare, financial services, and government bodies.
The financial sector has been particularly hard-hit, with reported losses from cyber fraud on the National Cyber Crime Reporting Portal exceeding INR 36,450 crore as of February 2025. This is largely due to tactics involving phishing-led UPI fraud, AI-assisted social engineering, SIM swap attacks, and deepfake-enabled scams. However, the government initiative, Financial Fraud Risk Indicator (FRI), has successfully prevented losses totaling INR 660 crore within just six months of its rollout in May last year.
In a separate analysis, OpenText’s Global Ransomware Survey found that India is becoming a prime target for AI-related attacks. Over half of Indian enterprises reported suffering ransomware attacks, with 71% noting an increase in AI-led phishing and deepfake security breaches. As we move into 2026, experts anticipate significant shifts in the cybersecurity landscape. The focus will pivot from traditional centralized cloud systems to decentralized edge computing, with an emphasis on real-time data learning and decision-making capabilities.
Srinivas Shekar, CEO and co-founder of Pantherun Technologies, remarked, “Cybersecurity in 2026 will be all about keeping data safe every second. Attacks are getting faster because criminals now use AI, and most businesses are exposed through the many apps they rely on. Instead of trying to stop every attack, companies will focus on protecting data in real time, so even if someone breaks in, what they steal is useless.” He further noted that ransomware tactics are likely to evolve, focusing not only on locking systems but also on damaging reputation and trust.
As the threat landscape evolves, the risks from trusted partners and insiders are also expected to increase, demanding that protection extend beyond network perimeters. “Security must follow the data wherever it goes. With stolen passwords and user sessions becoming common, identity alone will not be enough. Data-centric protection will take the lead,” Shekar added. As quantum computing advances, traditional encryption methods may become obsolete, prompting organizations to begin preparations for stronger, future-ready alternatives.
Palo Alto Networks has echoed these sentiments in its report titled “6 Predictions for the ‘AI Economy: 2026’s New Rules of Cybersecurity,”” suggesting that the year will signify a transition from “AI-assisted” to “AI-native,” heralding a new AI Economy. The report emphasizes that cybersecurity leaders must grapple with how to govern and secure a workforce that is increasingly multihybrid, where machines and AI agents may outnumber human employees. The pandemic has further accelerated shifts in conventional systems, opening avenues for cybercriminals to exploit unsecured entry points in employees’ browsers.
Kunal Ruvala, Senior Vice President & GM for India at Palo Alto Networks, noted the emergence of AI-driven deception and data exposure as pressing risks for Indian enterprises. He pointed out that deepfakes and contextual data leakage are creating a new class of insider threats at an unprecedented scale. The hybrid work model has also made web browsers the primary workspace for enterprises, intensifying the need for secure enterprise browsing. As a result, organizations are being compelled to enhance their identity-first, behavior-based, and Zero Trust defenses earlier in their AI adoption journeys.
Enterprises are also reconsidering their reliance on major cloud providers such as AWS and Cloudflare, which have recently experienced significant outages. Rob Newell, Senior Vice President and General Manager for Asia Pacific & Japan at New Relic, noted, “Outages of this size can have significant impacts on an organization’s bottom line. The 2025 Observability forecast found that high-impact outages can cost Indian organizations between $1 million to $3 million USD in lost revenue per hour.” New Relic’s engineers managed to flag issues with the recent AWS outage 27 minutes before customers were notified, allowing for timely responses to service disruptions.
As cyber threats continue to evolve, organizations find themselves at a critical juncture, where the integration of advanced technologies and the strengthening of cybersecurity measures will play a pivotal role in safeguarding data and maintaining trust in digital environments. The trajectory for 2026 points toward a landscape where data security is paramount, necessitating robust strategies to counteract increasingly intelligent cyber threats.
See also
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US AI Cybersecurity Firms Launch Scalable Solutions for Small Businesses in 2026
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