SAN JOSE, Calif., Jan. 27, 2026 (GLOBE NEWSWIRE) — Zscaler, Inc. (NASDAQ: ZS), a leading player in cloud security, has unveiled a suite of innovative security solutions aimed at helping enterprises manage the increasing risks associated with artificial intelligence (AI) applications. With organizations rapidly adopting generative AI and preparing for the emergence of agentic AI, the need for robust security measures has become critical, as traditional security models often fall short in this evolving landscape. The newly launched Zscaler AI Security Suite is designed to bridge the gap between AI innovation and risk management, offering visibility and control necessary for enterprises to build, deploy, and govern AI solutions on a large scale.
The need for enhanced security is underscored by findings from Zscaler’s ThreatLabz 2026 AI Security Report, which reveals that most enterprise AI systems could be compromised in as little as 16 minutes due to critical vulnerabilities identified in all analyzed systems. This alarming statistic highlights the significant challenges enterprises face in managing their AI applications effectively. Many organizations lack a comprehensive understanding of the AI tools and services they utilize, including generative AI applications, AI development environments, and the infrastructure that supports these solutions. This lack of visibility limits their capacity to assess AI-related risks and data access.
To address these challenges, Zscaler’s AI Security Suite provides a detailed inventory and dependency mapping of an organization’s AI footprint, encompassing generative AI services, embedded AI within SaaS, development environments, and underlying infrastructure. This approach allows firms to correlate asset discovery with access relationships and runtime behavior, enabling faster AI adoption while ensuring robust security and governance.
“AI is changing how businesses operate, but traditional security approaches were not designed to secure AI,” said Jay Chaudhry, CEO and Founder of Zscaler. He emphasized the need for a comprehensive solution that moves beyond piecemeal security products. “At Zscaler, we’re providing the security necessary for leaders to move forward with confidence and embrace the full spectrum of AI. We aren’t just securing the AI era; we’re accelerating it.”
The Zscaler AI Security Suite addresses the enterprise security landscape in three pivotal ways. First, it enhances AI Asset Management by providing Chief Information Security Officers (CISOs) and IT governance teams with a thorough inventory of AI applications and their usage. This feature assists in identifying “shadow AI” and understanding the data AI impacts. Second, Secure Access to AI implements Zero Trust controls that allow safe access to approved AI services, mitigating data loss and misuse while supporting productivity. Lastly, the suite offers Secure AI Infrastructure and Apps, equipping teams with the tools necessary to protect AI development throughout its lifecycle, including automated risk assessments and runtime safeguards.
Industry analysts have noted the importance of these developments. Zeus Kerravala, Principal Analyst at ZK Research, stated, “The industry is currently struggling with a massive visibility gap because AI traffic doesn’t behave like traditional web traffic. It’s faster, non-human, and uses protocols that most security stacks simply can’t see.” He emphasized that successful navigation of this technology transition requires a shift towards a Zero Trust framework capable of understanding the context of AI interactions.
In addition to enhancing security, Zscaler is also focusing on governance and compliance. The company is aligning its security programs with recognized frameworks such as the NIST AI Risk Management Framework and the EU AI Act, facilitating global AI adoption. This governance effort is supported by CXO-level reporting on generative AI usage and deep integrations with major players in the AI ecosystem, including OpenAI, Anthropic, AWS, Microsoft, and Google. Furthermore, Zscaler is enhancing its defensive capabilities with a new Multi-Cloud Platform (MCP) gateway for secure automation, along with AI deception techniques to counter model-based attacks.
The introduction of the Zscaler AI Security Suite represents a significant advancement in the quest to secure AI technologies across enterprises. As organizations continue to embrace AI, the importance of robust security frameworks that can adapt to new technological paradigms will only grow, shaping the future landscape of cybersecurity.
See also
Anthropic’s Claims of AI-Driven Cyberattacks Raise Industry Skepticism
Anthropic Reports AI-Driven Cyberattack Linked to Chinese Espionage
Quantum Computing Threatens Current Cryptography, Experts Seek Solutions
Anthropic’s Claude AI exploited in significant cyber-espionage operation
AI Poisoning Attacks Surge 40%: Businesses Face Growing Cybersecurity Risks
