Zscaler OT/IoT Segmentation

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Zscaler Zero Trust Device Segmentation is an agentless solution designed to isolate your devices (such as IoT, OT, and endpoint systems) without agents, upgrades, or downtime. By enforcing Zero Trust principles, it minimizes the risks of lateral movement inside branches, factories, and campuses by isolating every endpoint into a secure "network of one." Additionally, it enables enterprises to deploy a unified and consistent segmentation approach, instead of the sprawl of agent-based microsegmentation, NAC and Firewall ACLs. Key Benefits: • No endpoint agents: Fully segment legacy servers, headless machines, and IoT/IoMT devices that can't accept agents. • A unified solution: Seamlessly deploy integrated OT/IoT Segmentation, Zero Trust SD-WAN, and Privileged Remote Access (PRA). • Maximum uptime: Deploy quickly and with no hardware upgrades or VLAN readdressing. Extend the life of legacy equipment.

Zscaler Privileged Remote Access

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Zscaler Privileged Remote Access enables fast, direct, and secure access to operational technology (OT), Information Technology (IT), and industrial Internet of Things (IIoT) assets in field locations, the factory floor, or anywhere without relying on VPNs or agents. Using the Zscaler Zero Trust Exchange™ platform, plant operators can enable remote employees, contractors, and third-party technicians to remotely maintain critical OT systems with role-based, just-in-time access. PRA enables clientless browser-based access for employees, vendors and contractors with complete governance controls and sandboxed file transfers, eliminating the risk of malware infections from unmanaged endpoints. Key Benefits: • Boost uptime and productivity: Minimize downtime with secure, fast, reliable access for technicians and vendors, with governance controls. • Ensure people and plant safety: Isolate OT systems, making them invisible to attackers, and preventing threats from moving laterally from IT assets. • Reduce complexity: Quickly and easily provision or remove access without firewalls, VPNs, or software agents, avoiding costly downtime.

Zscaler Cloud Workload Segmentation

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Zscaler Cloud Workload Segmentation is a security solution designed to protect mission-critical applications by providing clear visibility into workload activities, reducing the attack surface, and implementing fine-grained segmentation policies across data centers and cloud environments. Traditional segmentation methods often rely on firewalls, VLANs, or specialized appliances, which can be complex and costly. Zscaler's approach simplifies this process by offering a modern zero trust architecture that enhances security and operational efficiency. Key Features and Functionality: - Elimination of Lateral Movement: By enforcing precise segmentation policies, Zscaler prevents unauthorized east-west traffic, effectively stopping the spread of threats within the network. - Reduced Complexity: The solution extends the Zscaler platform to include microsegmentation capabilities, eliminating the need for multiple point solutions and simplifying the security infrastructure. - Intelligent Segmentation: Utilizing real-time telemetry and AI-powered recommendations, Zscaler enables the rapid definition and implementation of segmentation policies, accelerating security decision-making processes. Primary Value and Problem Solved: Zscaler Cloud Workload Segmentation addresses the challenges associated with legacy segmentation architectures, such as complexity, operational overhead, and high costs. By adopting a zero trust approach, it provides organizations with comprehensive visibility into their workloads, streamlines policy management through automation, and effectively prevents lateral movement of threats. This results in a more secure, agile, and cost-effective means of protecting applications and data across diverse cloud and data center environments.

Zscaler Generative AI Security

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Zscaler Generative AI Security is a comprehensive solution designed to enable organizations to harness the benefits of generative AI tools while safeguarding sensitive data and maintaining compliance. By providing visibility and control over user interactions with AI applications, Zscaler ensures that enterprises can innovate securely without compromising data integrity. Key Features and Functionality: - AI Application Visibility: Gain insights into which AI tools are being accessed across the organization, allowing for informed decision-making and policy enforcement. - Granular Access Control: Define and enforce policies that specify which AI applications users can access, ensuring that only approved tools are utilized. - Data Loss Prevention (DLP): Implement robust DLP measures to prevent sensitive information from being shared inadvertently through AI prompts or queries. - Browser Isolation: Utilize secure browser isolation to control user interactions with AI tools, restricting actions such as copy-paste, uploads, and downloads to mitigate data exfiltration risks. - Content Moderation: Monitor and moderate prompts and responses to detect and prevent policy violations, ensuring that AI usage aligns with organizational guidelines. Primary Value and Problem Solved: Zscaler Generative AI Security addresses the critical challenge of balancing the adoption of generative AI technologies with the need to protect sensitive data. By offering comprehensive visibility, control, and protection mechanisms, it enables organizations to: - Enhance Productivity: Safely leverage AI tools to drive innovation and efficiency without exposing the organization to data security risks. - Prevent Data Breaches: Implement proactive measures to prevent unauthorized data sharing and potential breaches resulting from AI interactions. - Ensure Compliance: Maintain adherence to regulatory requirements by monitoring AI usage and enforcing policies that protect sensitive information. In summary, Zscaler Generative AI Security empowers organizations to confidently integrate generative AI into their operations, fostering innovation while ensuring robust data protection and compliance.