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Enterprise AI: Secure and Scale CX and EX Innovation

Securing the AI Agent Boom: Overcoming CX and EX Challenges in Enterprise AI Adoption

The rapid rise of AI agents across enterprises heralds a new era in customer experience (CX) and employee experience (EX) innovation. Organizations are integrating AI-driven automation and intelligent assistants into workflows to enhance efficiency, personalize service, and drive transformation. Yet, this Enterprise AI boom comes with pressing security challenges that can undermine trust and stall digital initiatives.

By 2028, forecasts expect over 1.3 billion AI agents in production environments. These agents, while powerful, open doors to subtle but critical risks such as prompt injection attacks, data leakage, malicious code exploitation, and tool misuse. For CX and EX leaders tasked with safeguarding customer and employee data, these threats pose real obstacles to scaling AI confidently.

Palo Alto Networks recently announced a new wave of native Prisma AIRS integrations with top AI platforms—Factory, Glean, IBM, and ServiceNow—designed to embed advanced AI runtime security directly where enterprises operate. This integrated approach aims to dissolve security roadblocks and transform protection from a bottleneck into an accelerator of AI adoption at scale.


The Hidden Risks in AI Agent Deployments

AI agents operate by processing and responding to natural language prompts while interacting with enterprise systems. This interactive agility comes with increasing attack surfaces. According to security experts, prompt injection vulnerabilities enable attackers to manipulate AI outputs or insert malicious commands, potentially exposing sensitive data or disrupting automated workflows.

Traditional cybersecurity tools often fall short when addressing dynamic AI agent workflows due to their complexity and novel threat vectors. Rapid AI rollout without comprehensive security risks data breaches and compliance failures, threatening CX and EX benefits like personalized service, operational efficiency, and employee empowerment.


Prisma AIRS: Enterprise-Grade AI Security for CX and EX Innovations

Prisma AIRS (AI Runtime Security) stands out as the world’s most comprehensive AI security platform, offering end-to-end protection that spans AI development, deployment, and runtime. Its core strength lies in real-time threat detection and prevention specifically designed for AI workloads.

Anand Oswal, EVP of Network & AI Security at Palo Alto Networks, emphasizes the need for a “platform that turns security from a roadblock into an accelerator for innovation.” Prisma AIRS delivers this by embedding native, real-time AI agent protections directly within the platforms enterprises depend on, helping boost customer productivity by ensuring safe AI scaling.


Key Prisma AIRS Integrations Powering Secure AI Agent Adoption

Factory: Securing AI-Powered Development Workflows

Factory’s agent-native development platform integrates Prisma AIRS to scan prompts, responses, and downstream tool calls in real-time. This protects developer coding workflows, enabling teams to deploy AI-driven software faster without compromising code integrity.

Matan Grinberg, Cofounder and CEO of Factory, highlights the synergy: “This partnership brings together agentic development and autonomous security, empowering organizations to build with AI while staying fully protected.”

Glean: Enhancing Data Governance and Runtime Defense

Glean’s platform, with its existing rigorous data governance, gains an additional security layer via Prisma AIRS scanning AI agent prompts and language model responses. This integration addresses prompt injection, data leakage, and emerging threats during runtime, allowing enterprises to scale AI responsibly.

Sunil Agrawal, CISO of Glean, notes, “Glean’s integration with Prisma AIRS builds on our foundation, adding intelligent runtime defense — securing AI adoption at scale with security embedded at every layer.”

IBM watsonx Orchestrate and Project Bob: Orchestrating Secure AI Automation and Development

Prisma AIRS integration with IBM’s AI technologies helps enterprises orchestrate and manage AI agents securely. Watsonx Orchestrate benefits from real-time threat prevention for complex multi-agent tasks. While Project Bob, an AI-driven software development partner, performs prompt security to detect and prevent vulnerable or malicious code.

Neel Sundaresan, General Manager of Automation and AI at IBM, states, “Prisma AIRS safeguards mission-critical prompt-driven workflows, securing trust in AI scalability.”

ServiceNow AI Agent Studio: Protecting AI Workflows Across Enterprise Operations

ServiceNow’s AI Agent Studio leverages Prisma AIRS. Especially to secure AI workflows before agents act, effectively eliminating risk from initial code to runtime execution. This integration supports trusted AI that transforms enterprise operations, balancing innovation with resilience.

Ravi Krishnamurthy, Vice President of AI Platform at ServiceNow, explains, “Collaborating with Palo Alto Networks extends our security and governance foundation. It empowers organizations to harness AI’s full power with operational security.”


Expert Insights on AI Agent Security Impacting CX and EX

The common thread across these integrations is the delivery of frictionless yet robust security that aligns with fast-paced enterprise demands. Real-time inline protection removes the security delays that traditionally slow AI adoption. Thus enabling more agile innovation without compromising customer or employee trust.

Bryan Stibbard, Senior Director of Ecosystems at Palo Alto Networks for ANZ, highlights that Prisma AIRS 2.0 equips organizations to move swiftly with AI agents. That too while maintaining uncompromised security, turning AI from an experimental add-on into a productivity driver.


Real-World Implications for CX and EX Professionals

For CX leaders, secure AI agents mean more reliable, personalized customer interactions. That too powered by intelligent automation, without the risk of data breaches that erode loyalty. For EX professionals, secured AI means enhanced employee productivity tools that respect data privacy and protect sensitive workflows.

Embedding security deeply within AI platforms helps companies benefit from:

  • Accelerated AI deployment timelines
  • Reduced risk of AI-driven data exposure and operational disruptions
  • Enhanced compliance with data governance standards
  • Heightened trust in AI-enabled CX and EX initiatives

Enterprise AI: Secure and Scale CX and EX Innovation

Actionable Recommendations for Secure AI Agent Adoption

  1. Integrate AI Security Early: Embed AI-specific security like Prisma AIRS from development through deployment to minimize vulnerabilities.
  2. Adopt Real-Time Monitoring: Use inline threat detection to catch prompt injections or malicious behaviors before damage occurs.
  3. Leverage Native Integrations: Choose AI platforms that offer built-in security integrations to avoid complex, disjointed security layers.
  4. Foster Collaboration: Coordinate between CX, EX, security, and development teams to align AI initiatives on secure frameworks.
  5. Focus on Policy and Governance: Implement comprehensive AI usage policies that balance innovation speed and risk management.

Conclusion: Turning AI Security into CX and EX Advantage

As AI agents multiply rapidly, companies cannot afford to treat security as an afterthought. Leading-edge platforms like Prisma AIRS demonstrate how AI security can propel, rather than impede. Especially the future of CX and EX innovation. By adopting real-time, integrated AI defenses, enterprises can unlock AI’s full potential. Especially for enhanced customer experiences and empowered employees—while maintaining trust and compliance.

Secure AI adoption is no longer optional. Rather, it is imperative for sustainable, scalable, and responsible digital transformation in CX and EX.


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