Red Sift, a leading provider of cybersecurity solutions, has announced the launch of Red Sift Radar, a new AI-powered assistant designed to help security teams identify and prevent vulnerabilities across email systems, domains, and other internet-facing assets. The tool aims to equip defenders with the necessary resources to stay ahead of cyber threats by diagnosing misconfigurations and exposures before they lead to incidents.
The announcement comes at a time when malicious actors are increasingly exploiting artificial intelligence for harmful purposes. CrowdStrike, a cybersecurity leader, recently identified generative AI as one of the two top emerging threats in 2024. In response, Red Sift Radar seeks to bridge the gap between the growing use of AI by attackers and the limited AI capabilities available to security teams.
Red Sift Radar integrates large-scale data with domain-specific cybersecurity expertise to provide security teams with actionable intelligence. By embedding domain-specific knowledge into existing workflows, it can quickly detect misconfigurations, prevent configuration drift, and deliver precise guidance to enhance efficiency.
Rahul Powar, CEO and Co-Founder of Red Sift, highlighted the significance of this new tool. “Since the advent of GPT-3, Red Sift has been pushing the boundaries of AI by integrating large language models (LLMs) with our proprietary data sets to explore new possibilities in cybersecurity. The automation, intelligence, and precision achieved with Red Sift Radar represent a significant step forward.”
Powar added that the company is already planning further innovations. “We’re integrating more data, tools, and expert playbooks to help security teams optimise operations, streamline processes, and address misconfigurations with unparalleled accuracy and speed.”
Red Sift Radar’s AI-driven insights empower both technical and non-technical users to troubleshoot effectively. It transforms complex cybersecurity issues into natural language conversations through its chat-based interface, allowing teams to upskill quickly without extensive training. The tool diagnoses security vulnerabilities using AI-powered insights, reducing the need for manual data gathering from sources like blocklists and DNS tools.
Jose Gomez, Director of IT at General Catalyst, said, “Before Red Sift Radar, checking a single domain could take up to 20 minutes. Now, with Radar’s quick and comprehensive insights, I can assess a domain’s security in just two minutes.”
Red Sift Radar also integrates seamlessly with Red Sift’s OnDMARC, making it the first AI-driven assistant embedded in an automated DMARC application. This enables Radar to identify misconfigurations within email environments and guide teams through fixes, strengthening defences against phishing and other email-based threats.
Zachary Bennett, IT and Security Manager at FHC, praised the tool’s impact. “Within the first 24 hours of use, Radar saved us $4,000 by identifying a fraudulent invoice from its header information.”
The launch of Red Sift Radar marks a significant step in the company’s ongoing efforts to innovate in the cybersecurity space. Following a recent partnership with Cisco as its DMARC provider and the launch of DNS Guardian, Red Sift is positioning itself as a leader in AI-driven cyber defence.
For more information, visit Red Sift’s website at www.redsift.com/radar.
