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Netskope Threat Labs Project AI's Influence on Security by 2026

Source Decision Insights Coverage Published November 19, 2025 Companies 1
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72nd article in the last 90 days, one of 142 articles referencing Netskope. Previous coverage: Netskope Reports New Python RAT Exploiting Telegram API (Nov 2025).

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Netskope's Threat Labs provided insights on anticipated changes in the threat landscape due to Artificial Intelligence (AI) by 2026. Their predictions emphasize evolving security practices and emerging threats relevant for IT decision-makers.

Privacy-first AI deployments

According to Ray Canzanese, the increasing use of advanced AI for handling sensitive data will prompt organizations in regulated sectors to shift towards privacy-focused systems. Industries such as finance and healthcare are expected to adopt frameworks like Amazon Bedrock to maintain control over their data, avoiding reliance on traditional Software-as-a-Service (SaaS) models. This transition aims to enhance data sovereignty, intellectual property protection, and compliance with regulations like General Data Protection Regulation (GDPR) and Health Insurance Portability and Accountability Act (HIPAA).

AI-driven vulnerability discovery

Gianpietro Cutolo noted that AI-focused security tools are evolving to detect complex flaws that conventional scanners may miss. These AI-driven Static Application Security Testing (SAST) tools are becoming essential for both security professionals and development teams, enhancing vulnerability discovery and code review processes.

The rise of autonomous agentic phishing campaigns

Jan Michael Alcantara highlighted a potential future where AI could automate phishing campaigns. This would involve AI systems capable of autonomously researching targets, crafting personalized phishing attempts, and managing command and control infrastructure. Such developments could lower barriers for attackers, increasing the frequency and sophistication of social engineering attacks.

OAuth will be a weak link with AI integrations

Gianpietro Cutolo also warned about the risks associated with OAuth in AI environments. Homomorphic Encryption (HE) noted that recent incidents involving OAuth exploitation indicate that as AI systems connect with third-party applications, they may inherit vulnerabilities. This could lead to increased risks of supply chain attacks and data exfiltration via compromised integrations.

The insights from Netskope's Threat Labs provide a critical understanding of how AI might reshape security protocols and threat avenues in the coming years. This summary reflects a timely, fact-based overview of the original blog post.

Blog post, originally published by Netskope Staff at netskope.com.

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