Zscaler AI: Revolutionizing Cybersecurity for the Enterprise
Block AI data loss, prevent attacks against AI systems, and stop AI-powered cyberattacks to securely embrace AI in your enterprise.
Comprehensive AI protection
Gain full visibility and control over public and private AI applications. Define contextual policies to govern who can access these tools and how they are used, with inline inspection of prompts to protect data and AI models against malicious activity and loss of sensitive information.
The Problem
AI introduces new security challenges
The potential rewards of AI are too great to ignore, but so are the risks.
Data loss
Once data is shared with AI, there is often no way to delete or recover it.
Vulnerabilities
Threats like prompt injection and data poisoning can corrupt AI models and outputs.
Governance
As AI embeds across many systems, it needs to be secured everywhere it operates.
Solution Overview
Zscaler AI + zero trust
Zscaler's inline zero trust architecture applies effective AI guardrails to ensure safe use of public AI, protect private AI from malicious attacks, and stop AI-powered threats. With the power of zero trust and AI, we help organizations strengthen and automate IT and security, reduce costs, and minimize complexity.
Securely enable public AI
Unlock the full potential of AI-driven productivity. Reduce the risks of shadow AI use and questionable access while eliminating data loss risks.
Secure Copilot productivity
Empower safe use of Microsoft Copilot to prevent sensitive data exposure and protect inline usage.
Securely embrace private AI
Innovate with full confidence in AI-enabled apps. Protect sensitive data, prevent prompt injections and data poisoning, and ensure security for LLM data and systems.
Stop AI-powered attacks
Stay safe in the face of AI-powered attacks with zero trust + AI. Reduce the attack surface, block threats via full TLS inspection, and eliminate lateral threat movement.
Benefits
Ignite a new era of efficiency
Achieve newfound productivity
Safely call on AI technologies to spark greater productivity for your workforce, with no data risk.
Innovate with confidence
Put more trust in AI-driven decision-making, customer interactions, and operational workflows than ever before.
Maintain more resilient business
Get the most effective protections against AI-powered attacks with industry-leading zero trust and AI.
Realize better security outcomes
Leverage advanced AI capabilities to accelerate better security outcomes.
Solution Details
Unlock the potential of AI apps like GPTs, maximizing your business velocity while minimizing the risk of data loss and shadow AI.
AI Visibility
See all AI apps/assistants (e.g., Microsoft Copilot), prompts, and responses.
Granular AI Usage Policy Control
Block unsanctioned AI apps, and control access and usage based on who is using AI and how.
AI Isolation
Allow usage of AI tools while preventing risky data sharing.
AI Guardrails and Model Protection
Block prompt injections, malicious outputs, and PII exposure while bolstering LLM and data security.
AI Data Security
Block data exfiltration to prevent data breaches while hardening LLM data security postures.
AI Audit Trail
Keep full logs of users, prompts, responses, and apps.
Zscaler AI Technology
Zscaler AI technology
Zscaler AI relies on an advanced AI infrastructure that processes metadata created from observing more than 5 trillion daily signals on the Zero Trust Exchange™ platform. This immense volume of metadata unlocks superior outcomes while ensuring privacy and compliance for customers.
AI is woven into our zero trust architecture, allowing it to quickly update zero trust security posture with AI-enhanced policies to block AI-enabled attacks.
Customer Success Stories
Eaton unlocks full visibility into ChatGPT
Consilio leverages AI to level up security
XPO optimizes customer service with AI
our platform
The Zscaler Zero Trust Exchange
Secure user, workload, and device communication between and
within the branch, cloud, and data center.
Zero Trust Everywhere
Secure Data
- Find, Classify, and Assess Data Security Posture
- Prevent Data Loss Across All Channels
Secure AI
- Secure the Use of Public AI
- Secure Private AI Apps and Models
- Secure Agent Communications
FAQ
AI security combines cybersecurity principles with safeguards unique to AI systems to protect algorithms, models, and training data from tampering or misuse. The goal is to ensure data accuracy, confidentiality, and integrity while preventing breaches that put sensitive assets or operations at risk. Strong AI security helps businesses build trust and resilience in their AI-driven operations.
AI introduces unique risks that demand robust security measures to protect AI and its associated systems, including:
- Poisoned training data: Skewing AI outputs with false data.
- Model inversion: Extracting sensitive info from training sets.
- Data theft: Exploiting AI systems to steal private data.
- Intellectual property theft: Copying or reverse-engineering AI models.
AI security relies on several essential technologies to protect systems and data:
- Data protection ensures training data stays accurate and secure from exposure or tampering.
- Robust authentication uses identity and access controls to block unauthorized users.
- Threat detection identifies anomalies in data usage or AI models to catch risks early.
- Continuous monitoring allows real-time responses to vulnerabilities or attacks.
- AI model governance establishes policies for ethical development and accountability.
- Incident response outlines procedures for detecting and addressing breaches effectively.
- AI governance and compliance ensures adherence to regulations like GDPR, CCPA, and the AI Act.