Red Sift RadarAn LLM meets DMARC for the first time to provide your team with actionable insights, streamlined workflows, and tailored guidance - no extra headcount needed.
Identify errors in SPF and DMARC records to ensure your email authentication settings are correctly aligned.
Evaluate unknown IP addresses to help you accurately identify and classify potential threats.
Analyze DMARC failure reports to help differentiate between legitimate forwarders or spoofing attempts.
Red Sift Radar eliminates manual efforts and inefficiencies by combining deep cybersecurity intelligence with real-time AI analysis - through a single workflow. See how teams work with and without Red Sift Radar.
How security teams work without Radar ❌ | How security teams work with Radar ✅ | |
Gathering insights | Use a mix of complex tools like MXToolBox, DNS Toolbox, WHOIS, and Qualys/SSL Labs. | Tap into a single source of truth to get a real-time view of your security posture, including domains, email, and internet-facing assets. |
Identifying and diagnosing misconfigurations | Manually checking domain configurations, email security, and web infrastructure, costing you time. | Auto-detect misconfigurations in SPF, DMARC, and other critical records, providing immediate guidance and resolution. |
Troubleshooting complex queries | Rely on forums like Reddit or Stackoverflow for guidance and/or require in-depth terminal/command prompt skills and the ability to read RFCs for manual diagnosis. | LLM-driven recommendations help resolve exposures, including syntax issues and email-related exposures. |
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Real results from our customers
“In the first 24 hours of use, Radar saved us $4,000 by identifying a fraudulent invoice from its header information.”
“Since my company just transferred from EasyDMARC, I had to configure everything in OnDMARC platform - Radar helped me make sure I had done everything correctly.”
"Radar gives us a quick and eaasy way to not only check the configurations, but also to provide IT professionals with excellent documentation and explanations of the problem, along with information to fix the issue."
“Radar provides 'convenience with a click'. Whenever I have a technical question, I turn to Radar.”
“Before using Radar, my workflow was manual and inefficient, and checking a single domain could take up to 20 minutes. With Radar’s quick and comprehensive insights, I can now assess a domain’s security posture and configuration in two minutes.”
Many complex tools require deep technical knowledge, such as using terminal commands or reading RFCs to understand misconfigurations. This reliance on specific team members slows down the investigation process and limits scalability.
Radar uses LLM-powered natural language processing to simplify complex security tasks. With Radar, both technical and non-technical users can ask detailed questions and get precise, easy-to-follow troubleshooting steps without needing specialized knowledge.
Current tools focus on reacting to security incidents rather than preventing them. Manually investigating security threats after they arise is time-consuming and often too late to stop damage.
Radar leverages AI for preventative defense, identifying risks, detecting malicious behaviors, and flagging questionable configurations before they turn into full-blown security threats. Your team can act proactively rather than reactively.
