Radware Ltd. (RDWR) Introduces LLM Firewall Tailored for Generative AI Technologies

Radware Ltd (NASDAQ:RDWR) is one of the champion cybersecurity stocks to bargain nether $50. Radware Ltd. (NASDAQ:RDWR) commands a statement Moderate Buy standing connected Wall Street from 2 analysts. The analysts support an mean terms people of $35, implying 54.39% upside imaginable from existent stock price.

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On November 18, the institution introduced LLM Firewall, a caller information offering tailored to assistance organizations accelerate their usage of generative artificial quality technologies. The firewall is designed to code blase AI-targeted attacks, including Prompt injection, jailbreaks, information exfiltration, and misuse of exemplary resources.

“Businesses privation to usage AI, but they’re being held backmost by uncertainty astir regulation, information protection, and strategy security,” said Constance Stack, Chief Growth Officer astatine Radware. “The LLM Firewall addresses these concerns head-on by stopping malicious prompts and exemplary manipulation earlier they tin instrumentality hold.”

Additionally, the caller information protocol volition artifact malicious behavior, truthful assistance organizations forestall unintended leakage of idiosyncratic oregon delicate information during LLM interactions.

The unveiling of the caller information firewall follows the company’s signing of a strategical concern with Hitachi Solutions to connection its Cloud Application Protection Service successful Japan. The work leverages artificial quality algorithms to observe zero-day web DDoS attacks that people APIs.

Radware Ltd. (NASDAQ:RDWR) provides cybersecurity and exertion transportation solutions for physical, cloud, and software-defined information centers. The company’s products and services are designed to support and guarantee the availability of applications and infrastructure for businesses worldwide. Key offerings see extortion against DDoS attacks, web exertion firewalls.

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Disclosure: None. This nonfiction is primitively published at Insider Monkey.