Built for security
We know the value of AI for security leaders is to make sense of what is happening right now – not the past.
AI has always been the backbone of Red Sift, which is how we have helped security teams in 1,000+ companies solve real problems at speed.
From phishing emails to lookalike sites, generative AI and LLMs have driven the cost of cyberattacks to near zero. Red Sift’s AI capabilities give security teams the power to pre-empt bad actors like never before.
We know the value of AI for security leaders is to make sense of what is happening right now – not the past.
For understaffed security teams, AI can be a huge boost in productivity as it identifies anomalies, provides relevant context and automates repetitive tasks.
Use AI to identify anomalies and recognize risks before intrusions disrupt operations or become true threats.
From brand abuse to troubleshooting misconfigurations, AI can solve resource intensive problems teams face today.
We provide traditional LLM models with augmented knowledge to turn these tools into cybersecurity experts - like . Our AI models can come with security context that is unmatched in the market.
At Red Sift, we champion Narrow AI for its effectiveness in tackling specific problems security teams are facing. Our AI models are meticulously engineered for distinct problem spaces, such as logo detection or complex domain name transformations. These models reduce cognitive load and save time, helping teams move faster where it makes sense.
Every day the Red Sift Pulse Platform ingests terabytes of cybersecurity intelligence. Signals like DNS registrations and certificate logs are streamed to the platform in real-time.
We are delighted to announce the launch of Red Sift Radar – the skilled up LLM that helps find and fix security issues 10x faster.
Radar empowers defenders with actionable insights across their email, domains, and internet-facing assets to close security gaps before they can be exploited.
What the experts say about us
"Everybody is talking about leveraging ML in their products and processes. Red Sift has actually done it."
Red Sift's leaders harnessed AI's potential with early NLP/NLU tech from 2008, deploying it across various businesses. Recognizing its power, they integrated AI into the Red Sift Platform when it launched in 2016, addressing security teams' key challenges and aiding those grappling with time and manpower constraints.
Process through 100,000,000 signals every day to identify lookalike domains that are actual threats with more sophistication than Levenshtein distance algorithms.
Proprietary computer vision algorithms using transfer learning provide logo detection capabilities that go beyond exact matches - including logos that have been warped, skewed, or even reflected on a helmet visor in an image (seriously!).
Explainable generative AI to identify subsidiaries and sister companies related to your organizations by rapid analysis of internet scale data.
At Red Sift, we are dedicated to helping security teams solve problems and move faster with AI-powered features across our applications. In this video, Rahul Powar, Red Sift CEO, and Christian Miccio, Product Leadership Consultant, discuss the various ways in which AI is part of the Red Sift toolkit.
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