Akamai

Cloud computing platform Akamai has unveiled a new cybersecurity solution, Firewall for AI, designed to address the growing security vulnerabilities associated with AI applications. 

Akamai’s Firewall for AI is designed to provide a multilayered defence and real-time AI threat detection for AI-powered applications, LLMs, and AI-driven APIs.

As AI technologies, including LLMs and agentic AI, gain widespread adoption across industries, the company aims to mitigate the new and evolving threats targeting these systems. The company explains that security measures such as web application firewalls (WAFs) are not equipped to handle the specific risks posed by AI, including adversarial attacks, model extraction, and data scraping. 

It further stated that while AI technologies provide significant productivity benefits, new attacks emerge. Attackers could target AI models to manipulate their responses or extract valuable proprietary data, making it crucial for organisations to implement specialised security measures.

“Traditional security solutions do not stop AI threats,” said Rupesh Chokshi, SVP and GM of application security at Akamai, in a press release. “As enterprises embrace the AI era to unlock new levels of productivity, AI security must be a key enabler. Firewall for AI is a game changer for any enterprise adopting AI.” 

With Firewall for AI, Akamai plans to secure both inbound and outbound AI queries and responses. It ensures compliance and data protection, helping organisations meet regulatory standards by securing AI-generated outputs.

Additionally, Firewall for AI offers flexible deployment options, enabling integration into existing security frameworks via Akamai’s edge, REST API, or reverse proxy. It also includes proactive risk mitigation by filtering AI outputs to prevent toxic content, hallucinations, and unauthorised data leaks. These features collectively provide comprehensive protection for AI-powered applications, ensuring both security and performance.

With these new tools, Akamai aims to support enterprises in adopting AI technologies securely, ensuring that their data and intellectual property remain protected as they integrate AI into their operations.

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