Saas Security
Discover the industry’s only SASE-native SaaS security
solution powered by Precision AI®.
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Please Note: All Prices are Inclusive of GST
Overview:
The Industry’s Leading SASE-Native SaaS Security Solution
Almost every organization today uses technology, adopting SaaS applications at a record pace and moving vast amounts of data and operations to the cloud. This distributed digital ecosystem extends to apps and data as well as to the users who access it. They come from headquarters, remote locations, and homes as well as through a range of devices, introducing a level of digital complexity that invites new threats and data loss vectors.
Palo Alto Networks SaaS Security tackles the rapid growth of SaaS and generative AI (GenAI) apps, protects data across all SaaS control points, and enables businesses to operate securely without compromise.
Risks with Conventional Approaches
When security teams secure their cloud-based SaaS applications and data, they typically turn to cloud access security brokers (CASBs). However, current CASB solutions struggle to keep up with modern security and business needs
Lack of Visibility and Automation Across SaaSTraditional CASBs face significant limitations when discovering new SaaS and GenAI apps due to their outdated design and reliance on static methods. They depend on manual signature updates and static application libraries—often derived from a limited user base, leaving many shadow SaaS apps undetected. What’s more, the process to audit and verify hundreds or thousands of SaaS configuration settings within sanctioned apps can be manual, running the risk of misconfigurations that lead to security vulnerabilities.
Compliance and Security Risks from Inaccurate Data ClassificationThe rise in SaaS-originated data—such as from collaboration workspaces, email, and chat, coupled with hard-to-detect data embedded within screenshots and images—heightens the risk of data loss or theft. With current data detection challenges, threat actors have shifted from traditional vectors to target SaaS apps such as Google Workspace, Slack, and Microsoft Teams. These platforms facilitate rapid data sharing, making it hard for legacy CASB solutions to accurately stop incidents without disrupting legitimate business workflows
Friction and Poor User Experience from Operational ComplexityLegacy CASBs are also constrained by their deployment models, such as proxies, which only monitor traffic routed through specific infrastructures. This approach fails to capture SaaS usage from unmanaged devices or outside corporate networks, which is a common scenario in modern work environments. They also lack integration with broader security architectures, leading to disjointed policy enforcement and management.
SaaS apps and data are becoming harder to protect
IT security teams are tasked with keeping track of all SaaS apps in use. However, they struggle to gain comprehensive visibility into unapproved apps, particularly GenAI applications. This lack of visibility leads to a hidden and growing risk landscape.
Managing hundreds or thousands of SaaS applications is an operational nightmare. With each SaaS platform having its own unique set of configurations, manual and complex app management increases the risk of vulnerabilities and human error
Identity-aware policies and guided virtual patching enable proactive OT protection, containing risks and even securing legacy systems without downtime.
Insiders and bad actors target SaaS
SaaS applications have significantly increased the attack surface, creating new channels for malicious insiders and threat actors to move their attack vectors to SaaS - where users collaborate, communicate and store business-critical data.
Gain visibility into a SaaS world shaped by AI
SaaS Security leverages machine learning and a community of over 70,000 customers to automatically discover, categorize and control new and emerging SaaS apps.
What’s more, it provides valuable insights into interconnected AI environments, including copilot instances, plugins, AI agent deployments and more, extending visibility beyond just individual apps to encompass entire SaaS and AI ecosystems.
Enable your workforce to safely harness GenAIThe rapid adoption of GenAI applications has created a new data loss vector almost overnight as sensitive data is uploaded into AI tools.
AI Access Security™ - delivered as an extension of SaaS Security - allows you to monitor sanctioned and shadow AI apps, prevent sensitive data leakage into third-party AI/LLM training models and uncover hidden dangers to secure your workforce and enterprise data across emerging GenAI platforms.
Protect what matters most - your dataMultimodal detections - inline and via API - monitor and secure the unauthorized movement and storage of sensitive data. You can rely on our context-aware, AI-augmented data loss prevention for near-perfect detection accuracy, reducing false positives by 95%.
Our fully integrated data protections span multiple control points, from email to GenAI and SaaS collaboration apps for the most comprehensive coverage and protection.
Uncover and fix issues before they occurAutomatically find and fix misconfigurations, prevent settings drift, harden MFA and improve your overall security posture for sanctioned corporate applications. Continuously monitor all security-impacting configurations - not just compliance-related ones - and easily align them with industry benchmarks and recommended best practices.
You can proactively minimize the risk of data loss and swiftly remediate issues, often with a single click.
Documentation:
Download the Saas Security Datasheet (PDF).
Pricing Notes:
- All Prices are Inclusive of GST
- Pricing and product availability subject to change without notice.