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Netskope details AI impact on enterprise security and threats for 2026

Source Decision Insights Coverage Published November 26, 2025 Companies 2
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2 companies named across 7 categories, one of 155 articles referencing Netskope. Previous coverage: Netskope details RedTiger infostealer targeting gamers and Discord accounts (Nov 2025).

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Netskope Threat Labs experts forecast that Artificial Intelligence (AI) developments in 2026 will influence enterprise security strategies and threat behaviors, highlighting shifts in AI deployment models and new vulnerabilities arising from AI integration.

Research Overview

Experts anticipate a move towards AI implementations prioritizing data privacy and sovereignty, especially in regulated sectors such as finance and healthcare. The focus will center on secure AI deployments that control data within organizational perimeters, complying with regulations like General Data Protection Regulation (GDPR) and Health Insurance Portability and Accountability Act (HIPAA).

AI-Driven Vulnerability Detection

AI-powered Static Application Security Testing (SAST) tools are expected to enhance the identification of logic and architectural flaws previously undetected by traditional scanners. Penetration testers and DevSecOps teams are increasingly adopting these tools for automated code review and vulnerability discovery, while the same AI capabilities may also empower attackers.

Evolving Phishing Threats

Anticipated developments include autonomous AI agents capable of orchestrating comprehensive phishing campaigns by profiling targets, crafting lures, and managing command infrastructure. This could decrease technical barriers, enabling more adversaries to conduct sophisticated social engineering attacks.

Security Risks in AI Integrations

OAuth vulnerabilities observed in recent breaches involving third-party tokens are expected to extend into AI systems integrating with third-party APIs. Issues such as over-permissive permissions and unclear revocation processes may create entry points for supply chain and data exfiltration attacks within interconnected AI environments.

These projections provide insights into AI's role in enterprise security challenges and strategic changes anticipated in 2026. This Blog Signals brief presents a factual summary of the Netskope Threat Labs analysis to assist decision-makers in understanding emerging AI-related risks and deployment trends.

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

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