Enterprise AI Security: Key Insights from Forrester’s Recent Report

Jessica BrennanSenior Product Marketing Manager | F5

Why AI Security Posture Management Is Now a Top Priority

According to Forrester’s recent research Key Trends In AI Detection Surface, organizations must urgently rethink how they manage and secure AI systems. Traditional security measures weren’t built for dynamic, agent-driven AI. That’s why AI Security Posture Management (ASPM) is rapidly emerging as a critical capability.

The Forrester report breaks down the threat landscape across five major vectors — AI infrastructure, data, models, applications, and identities — and calls for proactive, real-time strategies to mitigate risks.

What Forrester Says About the Evolving AI Risk Landscape

The report makes clear: enterprises face growing exposure from AI model drift, prompt injection, data leakage, and API misconfigurations, many of which go undetected until it’s too late. These are problems happening now, especially as AI agents start making autonomous business decisions.

From shadow APIs and silent model updates to data poisoning and output hallucinations, Forrester highlights the need for layered, adaptable controls.

What Is AI Security Posture Management?

AI Security Posture Management refers to the continuous monitoring, assessment, and protection of AI systems. When AI systems are operating at runtime or inference—which is when a trained model applies its understanding to generate original output in real time— ASPM is essential and requires a robust approach that includes:

• Infrastructure security (cloud misconfigurations, excessive permissions)
• Training and runtime data protection (DLP, PII controls)
• Model monitoring and red-teaming (prompt injection, adversarial testing)
• Application-level defenses (supply chain vulnerabilities, misuse)
• Identity governance (Role-Based Access Control for users, applications, and agents)

Forrester’s framework confirms that securing AI isn’t a single control, but rather it’s a continuous lifecycle.

Why Securing AI at Runtime Must Be Part of Your Posture Strategy

AI runtime is where models meet real data, real users, and real risks. If you’re only securing AI at training or deployment, you’re leaving your enterprise exposed. That’s why runtime-layer protection is foundational to ASPM.

We have long advocated for this approach as it’s where we’ve seen a major uptick in AI usage across organizational use cases. There are various reasons for this, including the costs associated with model training and the accessibility of leveraging AI at the application stage.

How F5 Helps Enterprises Strengthen AI Security Posture

F5 delivers a platform purpose-built for AI Security Posture Management, aligning directly with the core needs identified in Forrester’s report:

• Security Scoring Framework: A proprietary scoring system that evaluates both the security of individual models and the resilience of full AI systems before they go live
• F5 AI Red Team: Agentic adversarial testing to uncover vulnerabilities before attackers do
• F5 AI Guardrails: Real-time customizable security scanners that block prompt injection, jailbreaks, and data exfiltration without disrupting performance
• Observability: Role-based visibility, risk monitoring, and compliance reporting across all models, apps, and agents

Together, these tools create a continuous feedback loop across the AI lifecycle—from model selection to live production.

AI Security Posture Management Starts Before Deployment

Forrester’s report makes one thing clear: AI risks are already impacting businesses. Whether you’re deploying copilots, RAG pipelines, or AI agents, AI Security Posture Management must start now.

F5 helps you do exactly that, enabling safe innovation through proactive red-teaming, real-time defense, and full-lifecycle oversight.

About the Author

Jessica BrennanSenior Product Marketing Manager | F5

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