Defending Your AI Future with Prisma Cloud

The integration of AI into hybrid and cloud environments is rapidly gaining momentum, as companies across all industries recognize AI’s potential in driving digital transformation and future growth.

There’s Power in the Cloud

Gartner estimates that by 2025, 95% of new digital workloads will be deployed on cloud-native platforms—up from 31% in 2021.¹

Forrester predicts that from 2023 to 2030, the compound annual growth rate of the off-the-shelf AI software market will be 36%, reflecting the growing adoption of AI technologies as part of strategic growth initiatives.²

Multifaceted Risks of Multicloud

To run the most demanding AI/ML workloads, organizations rely on multiple cloud service providers to develop, deploy, and consume AI products. Virtual machines, containers, and APIs are essential for AI innovation and dedicated cloud environments for testing, staging, and production are essential to manage workloads, compute resources, and the separation of sensitive assets.

Multicloud infrastructures may be necessary for AI projects. However, the complexities of managing and securing each cloud environment become more difficult in our era of advanced threats. The growing attack surfaces created by multicloud deployments introduce visibility gaps, policy inconsistencies, and disparate access controls, which in turn open the door to bad actors.

One of the key hacker targets within the infrastructure of cloud-centric organizations are the sensitive and proprietary datasets that form the DNA of their AI workloads.

AI Datastores Are Essential—and at Risk

We’re all familiar with the risks of a data breach. Losing employee or customer information, trade secrets, intellectual property, source code, operational information, business forecasts, and other sensitive data opens a company up to tremendous financial, reputational, and legal risks.

AI feeds on data, and it’s hungry. To train LLM and other AI models, organizations must create massive datastores of their most sensitive information.

Breaches have increasingly severe repercussions. In 2023, the global average cost of a data breach was US$4.5 million, a 15% increase since 2020.⁴

But in the data-reliant world of AI, data breaches can be catastrophic, existential events.

The Challenge of Securing AI Data

The cloud delivers the scalable reservoir of data storage and processing power needed to run today’s and tomorrow’s AI workloads, but running AI workloads across different cloud environments can pose challenges.

The pace of innovation is stretching many organizations beyond their cloud security comfort zone, endangering the very AI projects that will drive growth.

Mission-critical, cloud-stored data is at risk. Attackers can exfiltrate and sell your proprietary data or leverage it for ransomware. Bad actors and malicious insiders can inject tainted and malicious data into your datastore, compromising your AI outputs.

More Tools, More Problems

So, how do you protect your vital AI tools and datasets in this rapidly changing technology landscape?

The answer isn’t more disconnected security tools and siloed solutions. The more tools you have, the less secure your AI datastores and cloud workloads really are.

More tools mean:

• More maintenance, more training, and more processes.
• More work with fewer results and an increased number of alerts.
• More effort to implement, maintain, and integrate with other solutions in your cloud security stack—and that means investigation and remediation slows to a crawl.
• More risk in visibility overload and the inability to correlate attack paths.

The answer is an integrated, comprehensive CNAPP that makes cloud security less complex—a solution that leverages AI/ML to secure your cloud-based AI workloads without slowing down the pace of innovation.

The answer is Prisma^® Cloud.

Automation, AI/ML, and a centralized platform approach enable organizations to more securely lock down their mission-critical, cloud-stored data and maintain a proactive—not reactive—stance.

Prisma Cloud helps you seamlessly manage and optimize security for your AI workloads in a multicloud/hybrid cloud environment.

Organizations that harness security AI and automation capabilities like those in Prisma Cloud can identify and contain a data breach in just 66% of the time it takes organizations that don’t use those capabilities.⁶

Seamless Integration and Visibility Across All Your Cloud Workloads

Too many organizations can’t achieve true multicloud visibility because of their fractured security tools.

We designed Prisma Cloud to deliver complete, continuous visibility into inventory of all assets across clouds. By consolidating data into a single platform, Prisma Cloud provides security architects and professionals with a wealth of real-time information to help reduce risks in their AI workloads and maintain the integrity of their AI datasets.

Prisma Cloud is compatible with all public cloud environments, providing deep visibility into internet-accessible assets, including cloud-based systems and services, for more effective management of your attack surface and mission-critical data.

Prisma Cloud provides seamless integration with twice as many cloud service providers as other platforms. More than 2,000 out-of-the-box policies enable you to detect attack paths, misconfigurations, vulnerabilities, identity, data, and other compliance and security issues in over 380 cloud services.

This full cloud visibility and centralized control means you may spend 60% less time every year patching vulnerabilities in code.⁷

Prisma Cloud offers:

• Continuous visibility of all cloud assets from single pane of glass.
• Risk analysis across all your public cloud services.
• Full lifecycle asset change attribution.

Advanced Automation of Policy Management

We're only human

Through 2025, 99% of breaches will be caused by misconfigurations that are directly the result of human error, according to Gartner.⁸ Once a misconfiguration occurs, the complexity of multicloud environments and the shared responsibility model between companies and cloud service providers make it extremely difficult to manually identify and remediate the mistake.

In short, the human beings in your organization are responsible for introducing policy misconfigurations into the cloud, but the same human beings are poorly equipped to quickly identify, prioritize, and act upon vulnerabilities using manual processes alone.

There’s a better way

Prisma Cloud helps teams easily review and update cloud configurations to ensure they align with best practices and address any potential security risks. Teams can use the graphs and tables to assess policy coverage and better monitor and manage potential misconfigurations across cloud infrastructure.

Once they spot something wrong, they can quickly take action with a range of progressively automated remediation capabilities.

Real-Time Runtime Protection for Your AI Datastores

Agent and Agentless Scanning

Prisma Cloud supports the agentless scanning of cloud workloads on AWS, Azure, GCP, and OCI for vulnerabilities and compliance. In AWS, Azure, and GCP you can also use agentless scanning for containers, virtual machines, and serverless functions.

Instead of installing an agent into your cloud environment, Prisma Cloud agentless scanning allows you to inspect the risks and vulnerabilities in cloud workloads, like AI datastores, without impacting the execution of the workload.

The Prisma Cloud agent-based solutions offer continuous visibility, risk assessment, web application firewall, API security, and runtime protection to stop attacks. Deploying a mix of agentless and agent-based protection across a multicloud and hybrid-cloud environment is made easier because there’s a single policy configuration for both in Prisma Cloud.

User and Entity Behavior Analytics

Using the powerful UEBA engine in Prisma Cloud, you can quickly identify sensitive activities such as risky privileged user behavior, security group changes, IAM configuration updates, and more before your AI datastores are compromised.

With Prisma Cloud, you can leverage ML to take the human element out of finding indicators of compromise in your cloud environments. The UEBA engine uses an autonomous system to establish a baseline of “normal” activity, then flags deviations from that baseline.

Continuous API Visibility

Web apps and APIs are the most common medium for sharing and modifying data today, but they’re also a growing attack surface. Modern cloud-native architectures need a comprehensive approach to security that protects against the OWASP API Top 10 attacks, manages API vulnerabilities, and ensures compliance and protection in runtime.

Prisma Cloud provides complete API discovery, risk profiling, and real-time protection integrated into one comprehensive cloud-native application protection platform.

Advanced Attack Path Visualization

Attack path visualization brings alerts to life in a user-friendly, intuitive way, providing instant context for the most critical vulnerabilities and the potential impact of an attack on your AI datastores or any cloud workload.

A user can view the runtime environment and the instance that’s affected, where the attack came from, and where the attacker could go within the affected instance. They can click into vulnerable containers for greater context on what data is at risk—all from a single pane of glass. For an internet exposure, for example, security professionals can trace the full exposure path from the internet to the VPC, subnet, and the corresponding EC2.

With all your threat data correlated and visualized in one place, Prisma Cloud allows for immediate prioritization and remediation. This deep context and intuitive visualization helps ensure your security teams stay focused on the threats that matter.