Cloud email security and brand protection startup Redsift Ltd. today announced the launch of a new large language model assistant that identifies and diagnoses misconfigurations and exposures across email, domains and internet-facing assets to help security teams prevent incidents before they happen.

Called Red Sift Radar, the service has been designed to simplify complex cybersecurity queries through an LLM-powered chat interface that translates investigations into clear, natural language conversations. The service can be used by both technical and nontechnical users to troubleshoot and allows teams to up their skills without extensive training.

The service seeks to address the current cybersecurity landscape that has seen generative artificial intelligence become one of the top emerging threats. At the same time, Red Sift argues that security teams are under-equipped with AI solutions for an adequate defense.

Red Sift Radar addresses the gap between AI-enabled attacks and security teams through the integration of large-scale data with domain-specific cybersecurity expertise. The company says the service gives defenders consistent, actionable security at scale by embedding domain-specific intelligence directly into existing workflows to detect exposures, prevent configuration drift and deliver tailored guidance. Radar diagnoses issues through AI-powered insights, eliminating the need to gather data manually from sources like blocklists and DNS tools.

The new service also integrates with Red Sift OnDMARC, making it the first LLM assistant embedded in an automated domain-based message authentication, reporting and conformance application. Radar spots misconfigurations within an organization’s email environment and guides teams through fixes, with the result being strengthened defenses against phishing and other email-based threats. Red Sift is the exclusive provider of DMARC services to Cisco Systems Inc. customers.

“The automation, intelligence and precision we’ve achieved with Red Sift Radar represents a major leap forward,” said Red Sift co-founder and Chief Executive Rahul Powar. “We’re already building on this momentum by integrating more data, tooling and expert playbooks to help security teams optimize their operations, streamline processes and address misconfigurations and exposures with unparalleled accuracy and speed.”

Red Sift has raised $69.8 million in venture capital over three rounds, including a round of $54 million in 2022. Investors in the company include Highland Europe (Technology) LLP, Sands Capital Management, MMC Ventures Ltd., Oxford Capital Partners LLP and In-Q-Tel Inc.

Image: Red Sift