Your AI Security Journey: Securing Every Stage of Enterprise AI Adoption

Artificial intelligence has quickly evolved from an experimental technology into a core business capability. Organizations use AI to improve productivity, accelerate software development, enhance customer experiences, and unlock new insights from data. But as AI adoption matures, so do the security, governance, and compliance challenges that come with it.

Organizations need an approach that evolves alongside their AI strategy, and this is where Port53 and Cisco come in to provide governance and protection through every phase of AI adoption.

Stage 1: Employees Adopt SaaS AI Tools

For many organizations, AI begins with employees using public AI services such as GitHub Copilot, ChatGPT, or other SaaS-based assistants. These tools can dramatically increase productivity, but also introduce new concerns.

Common challenges include:

• Sensitive data being unintentionally shared with external AI services
• Lack of visibility into AI usage across the organization
• Shadow AI applications operating outside IT governance
• Regulatory and compliance risks

At this stage, organizations need visibility before they can establish control.

Port53 and Cisco help organizations implement Secure Access policies that enable employees to use AI responsibly while protecting sensitive information. With visibility into AI usage, organizations can establish governance without preventing innovation.

Stage 2: Building Custom AI Applications

As AI becomes more strategic, organizations are increasingly building and deploying their own AI-powered applications in the cloud. Using enterprise AI licenses and cloud-based AI services delivers greater value, but also expands the possibilities of attack. These cloud-built applications power customer support, automate business processes, assist developers, or analyze enterprise data.

New security considerations include:

• Protecting AI APIs and cloud-based AI services
• Securing AI application workloads running in the cloud
• Managing identity and access across cloud AI environments
• Preventing prompt injection and other AI-specific attacks
• Monitoring model interactions and application behavior

At this stage, security must move beyond user access and extend into the AI applications being built and operated in the cloud.

Cisco AI Defense, combined with Port53’s AI security expertise, provides organizations with policy enforcement, runtime protection, and governance designed specifically to secure AI applications throughout their cloud environments from development and deployment to runtime.

Stage 3: Owning the AI Stack

As AI capabilities mature, many organizations seek greater control over their models, data, and AI environments. This includes training open-weight models with proprietary enterprise data and meeting industry-specific compliance and data sovereignty requirements. The conversation shifts from simply using AI to owning and securing the AI platform.

At this stage, organizations may move AI workloads into a virtual private cloud or other dedicated cloud environment, giving them greater control and isolation without requiring ownership of the underlying physical infrastructure.

Security now encompasses:

• Secure data pipelines
• Training data protection
• Access controls for models and datasets
• Model lifecycle management
• Secure private cloud environments

Organizations need confidence that their intellectual property remains protected while maintaining the flexibility to customize AI for their unique business needs. That confidence also means monitoring AI agents and applications to identify and address hallucinations, unexpected behavior, and other risks before they impact the business. Port53 and Cisco help customers build secure AI environments that balance innovation with governance, providing visibility, protection and operationalization as organizations take greater ownership of their AI stack.

Stage 4: Deploying AI in Private Infrastructure

The next step is building private physical AI infrastructure. Rather than relying on shared or virtualized cloud infrastructure, organizations lease or secure dedicated datacenter space and deploy their own AI hardware, networking, and supporting infrastructure.

This stage provides the greatest level of control over the physical environment, infrastructure, data, and AI workloads. It is particularly relevant for organizations such as financial services, healthcare, government, and defense, where regulatory, security, or sovereignty requirements may demand dedicated infrastructure.

Building a private AI datacenter introduces additional considerations:

• Physical and network security
• Network segmentation
• Secure model deployment
• High-performance AI networking
• Physical access controls
• Continuous monitoring and compliance

Cisco’s Secure AI Factory architecture, combined with Port53’s implementation expertise, enables organizations to design and build secure, scalable AI infrastructure that supports production workloads while providing the control, performance, and enterprise-grade security required for the most demanding AI environments.

AI Agents and Agentic Workflows: Securing AI in Action

As organizations progress through their AI journey, AI is moving beyond individual applications and assistants into AI agents and agentic workflows that can work on behalf of the business. These workflows are emerging across virtually every function, including go-to-market, sales and marketing, accounting and finance, product, customer support, IT, and software development.

Organizations may adopt these capabilities through SaaS AI tools and agent platforms, or build and deploy their own AI agents. Either way, the security challenge changes when AI can take action rather than simply provide an answer.

Agentic workflows can interact with enterprise applications, access sensitive data, invoke APIs, communicate with other agents, and execute business processes. Organizations therefore need the ability to:

• Monitor agents, applications, model interactions, and workflows in real time
• Detect hallucinations, unexpected behavior, and potentially risky actions
• Respond when an agent behaves outside of expected policies or business intent
• Apply guardrails around what agents can access, what actions they can take, and how they interact with other systems
• Maintain visibility and governance across both SaaS-based agents and internally developed agentic applications

This is where the combined Cisco + Splunk + Port53 story becomes particularly important. As AI becomes an active participant in business operations, organizations need more than protection at the point of access or application deployment. They need continuous visibility, security monitoring, detection, response, and governance across the entire agentic environment.

Port53 and Cisco can help organizations establish the policies and guardrails needed to secure AI agents, while Splunk provides the monitoring, detection, investigation, and observability needed to understand what those agents are doing and respond when behavior deviates from expectations. Together, these capabilities help organizations confidently move from experimenting with AI to safely operationalizing agentic workflows across the business.

Port53 + Cisco: Securing the Entire AI Journey

No matter where an organization is on its AI maturity journey, security should evolve alongside innovation. Together, Port53 and Cisco provide a comprehensive framework for securing enterprise AI:

• Secure Access for governing employee use of SaaS AI tools.
• AI Defense for protecting custom AI applications and cloud-based AI workloads.
• Secure AI Factory for enabling secure deployment of AI infrastructure, open-weight models, and private AI environments.
• Isovalent for providing cloud-native networking, security, and observability across AI workloads and Kubernetes environments.
• Splunk for delivering security monitoring, detection, investigation, operational visibility and full observability across the AI environment.
• Phoenix, a Port53 operational engine allowing 24/7 monitoring of alerts and actions.
• Port53 AI Security Experts for guidance in identifying, assessing, and mitigating risks across AI usage, applications, infrastructure, and agents.

This layered approach gives organizations the confidence to innovate with AI while protecting their users, applications, data, and infrastructure. As enterprises continue their AI journey, the organizations that succeed will be those that make security a core capability from day one.