AI risk is application risk because AI models do not exist in isolation and are deeply embedded within complex application ecosystems.
Key takeaways
-
AI risk is application risk.
-
AI agents now query databases and trigger workflows, creating liabilities that range from unauthorized discounts to wiped production databases.
-
Four threats target AI applications.
-
Prompt injection, toxic output, sensitive data leakage, and AI denial-of-service attacks put revenue, reputation, and data at risk.
-
Conversational attacks can slip past traditional data loss controls.
-
Low-and-slow queries extract proprietary data as natural language without triggering volumetric alerts.
-
Layered AI application security protects the entire application estate.
-
Akamai adds AI runtime protection to existing WAAP, API, and bot management, avoiding a costly rip-and-replace cycle.
Frequently Asked Questions (FAQ)
Frequently Asked Questions (FAQ)
The four critical threat fronts are prompt injection and jailbreaking, toxic output and brand reputation risks, data exfiltration and sensitive data leakage, and resource exhaustion and AI denial of service.
Prompt injection manipulates AI applications by injecting malicious natural language instructions into prompts, tricking the model into ignoring safety guardrails and altering its intended use.
Traditional data loss prevention tools fail because leaked data is transformed into conversational natural language responses rather than structured document transfers.
According to the 2026 API Security Impact Study, API-related incidents cost enterprise organizations an average of US$700,000.
Traditional DoS floods network pipes with raw traffic, whereas AI-specific DoS exploits the asymmetric computational intensity of model inferencing to exhaust GPU memory and compute resources through complex prompt construction.
Automated bots account for 42% of total web traffic, with nearly two-thirds categorized as malicious scraping, abuse, or attack traffic.
The four protection layers are WAAP (App & API Protector), API Security, bot and abuse protection (Bot & Agent Control), and AI runtime protection (Firewall for AI).