The cybersecurity and cloud computing firm Akamai Technologies, Inc., which powers and safeguards businesses online, today unveiled Firewall for AI, a new product that offers multilayered defense for AI applications against hostile inputs, unauthorized queries, and extensive data-scraping attempts.
Organizations are swiftly implementing large language models (LLMs), agentic AI, and other cutting-edge technologies as AI dramatically changes industries. These developments, however, bring with them new security flaws that current web application firewalls (WAFs) are ill-equipped to counter, such as model extraction, adversarial attacks, API misuse, and extensive data scraping. When paired with other recent innovations like API LLM Discovery, Akamai Firewall for AI offers users a comprehensive suite of AI-powered features.
“Traditional security solutions do not stop AI threats,” said Rupesh Chokshi, Senior Vice President and General Manager, Application Security, Akamai. “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. Securing AI applications isn’t just about blocking attacks, it’s about enabling innovation without compromising security or performance. With Firewall for AI, enterprise models, data, and intellectual property are protected from evolving threats.”
Introducing Firewall for AI: Defending AI models from emerging threats
Attackers target AI models because they contain sensitive datasets and valuable private information. In order to defend AI-powered apps, LLMs, and AI-driven APIs against new cyberthreats, Akamai Firewall for AI is a specially made security solution. The firewall eliminates security flaws introduced by generative AI technologies by protecting both outgoing and incoming AI queries and replies.
Expanding AI-driven security capabilities
Akamai is also announcing API LLM Discovery, an addition to the Akamai API Security platform that automatically finds GenAI and LLM API endpoints, classifies them, and updates security policies to stop abuse and unauthorized access. This will help to further safeguard customer AI deployments and enable secure AI adoption.
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