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Hallucinations, Data Leaks, and AI Chaos-Akamai\'s New Firewall Puts an End to It

As enterprises increasingly integrate AI into their operations, traditional security tools are proving inadequate. Challenges such as hallucinated outputs, data leakage, and model manipulation are exposing organizations to new risks that standard Web Application Firewalls (WAFs) were never designed to address.
To bridge this critical security gap, Akamai Technologies has introduced Firewall for AI—a purpose-built solution designed to protect large language models (LLMs), AI applications, and AI-powered APIs from sophisticated and emerging threats. This next-generation firewall offers real-time threat detection, multi-layered defense mechanisms, and comprehensive traffic inspection, tailored specifically for AI environments.
Firewall for AI mitigates a range of AI-specific risks, including adversarial attacks, model extraction, data scraping, and prompt injection. It also helps organizations reduce reputational and compliance risks by filtering toxic content, mitigating hallucinated responses, and securing AI-generated outputs in line with evolving regulatory standards.
Deployed via Akamai’s edge network, REST APIs, or reverse proxy, this solution ensures scalability, performance, and protection—without disruption.
According to Rupesh Chokshi, SVP at Akamai, “Security is no longer a barrier but a key enabler in the AI-driven era.” Firewall for AI marks a crucial advancement in securing intelligent systems for the enterprise.

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