Zscaler AI Protect Raises the Bar for AI Security
Risky AI usage and exposed model logic in agentic codebases gets caught before it ever reaches production. AI Code Runtime Scanning: Some threats only ...
Covers: CybersecurityShadow AIGovernance & Risk ManagementAI Agents & AutomationChatbots & LLMsRegulation & PolicyLegal & CourtsGovernment & Public SectorHealthcareBanking & Finance
Risky AI usage and exposed model logic in agentic codebases gets caught before it ever reaches production. AI Code Runtime Scanning: Some threats only ...
Shadow AI outpacing governance. Research from Wolters Kluwer flagged shadow AI as one of the top healthcare concerns for 2026, with staff adopting ...
Providing clear guidance helps reduce shadow AI adoption, encourages consistent behavior, and enables employees to benefit from AI without introducing ...
Implement effective AI security guidelines for employees with an enforceable acceptable‑use policy to ensure data protection, risk management, ...
Zscaler secures agentic AI with the first complete Zero Trust platform, protecting AI agents, data, endpoints, and workflows in real time.
It is a trust, access, and control problem at enterprise scale. How do you adopt AI without letting risk outpace governance?
Zscaler expands its Zero Trust ecosystem, uniting with AI and cloud leaders to enable secure signal sharing across enterprise AI interactions.
Discover the industry's first Complete Zero Trust Platform for Agentic AI , securing data access and enterprise operations.
Audit First Approach: The majority—almost four in five—of S&P 500 companies oversee cybersecurity risk from the Audit committee. Picture Still ...
Artificial intelligence ( AI ) is already part of how work gets done. Employees are using public GenAI tools to move faster, while SaaS platforms ...
It is being embedded directly into applications that were already trusted, which changes their risk profile overnight. At the same time, developers ...
The problem is that no policy can fully prevent shadow AI use. The tools are free, accessible from any personal device, and woven into apps employees ...
Zscaler is also using OpenAI models as part of its AI Asset Analysis solution, which analyzes MCP tools and risks , and provides overall risk analysis ...
AI risk management is the discipline of understanding what could compromise AI systems—then putting guardrails, testing, and monitoring in place ...
AI asset management (AIAM) in cybersecurity is the continuous discovery, inventory, and risk assessment of an organization's AI components—models, ...
Uncover insights from the Zscaler ThreatLabz 2026 VPN Risk Report on AI -driven threats and the urgent need for modern security measures to combat ...
If innovation needs confidence and speed, AI gives you the speed. The confidence? That's where people freeze. Make it safe to go fast. Indecision is ...
Monitor for shadow AI . Track unsanctioned tools and ... From Shadow AI to Trust: How Healthcare Can Secure the Future of Artificial Intelligence.
Live cyber tests show banks still failing basics, while AI embedded in vendors, payment fraud, and ransomware reshape risk .
AI agents will act as autonomous defenders, capable of proactively identifying threats , correlating data from disparate sources (users, devices, ...
Secure generative AI adoption in healthcare. Protect PHI, tackle shadow AI risks, and enable innovation with WebSocket inspection and Zero Trust ...
... AI ‑driven cyber risk , even as AI becomes embedded in business operations. ... Unmanaged Embedded AI Creates Critical Data Exposure Risks . An enormous ...
Empower employees to use AI safely with Zscaler. Discover shadow AI , prevent data loss, and secure your AI ecosystem to boost productivity and ...
Accelerate AI initiatives with Zscaler. Protect builds, secure your AI stack, and stay ahead of risks with comprehensive Zero Trust security and ...
Guardrails that cover the full breadth of AI safety and security risks : The interactions between AI apps and agents are exposed to a variety of ...
The Hidden/Unknown Risks Behind LLM-Powered Systems. LLMs have introduced a range of vulnerabilities that cannot be uncovered through static code ...
... risk in AI systems. In simple terms ... Artificial Intelligence Customer JourneysDigital TransformationCyber Governance Threats and Risks Zero Trust ...
CybersecurityGovernance & Risk ManagementRetail & E-commerce
Shadow AI vulnerabilities: " Shadow AI " or unmanaged models are those used by developers and data scientists without security oversight. These ...
... AI risks and security challenges security teams are facing today: How to secure the AI supply chain—Identifying and mitigating supply chain risks in ...
The upcoming report will cover AI threats and risks in more detail, along with actionable guidance for enterprise leaders on how to effectively secure ...