Advanced Persistent Threat (APT) Detection
Discovering advanced persistent threats (APT) is, by design, akin to finding a needle in a haystack.
Real-time streaming graph use cases: threat detection, fraud, observability, ETL, and more.
Discovering advanced persistent threats (APT) is, by design, akin to finding a needle in a haystack.
Metered attacks that generate low volume log-in attempts, from diverse IPs and across extended time frames, are designed to avoid the "3 strikes in 24 hours" business rules in a...
Financial fraud detection requires monitoring billions of transactions, devices and users in real-time for suspect behaviors without false positives that alienate customers when...
Pick One.
Monitoring systems comprised of multiple services is typically done by monitoring each service individually using it's logs, or on an end to end basis that lacks visibility into...
AWS CloudTrail logs are full of untapped information that can help reduce risk and improve event response times, especially when analyzed in context and in real time. A thatDot ...
Real-time linking of transactions, accounts, wallets, and blocks within and across blockchains is not possible with current solutions. Instead, the user must either rely on batc...
Modern threat detection requires data – lots of data – typically from multiple sources. This brings with it a number of interesting data engineering challenges, especially when ...
While digital twins and the emerging subcategory of asset graphs promise operators greater visibility into the relationships between IT assets and equipment under management, cu...
Most ETL tools use the batch processing paradigm to find high-value patterns in large volumes of data. Whether the specific business application is fraud detection, cyber securi...
Real-time video observability that can solve Quality of Experience (QoE) issues while live broadcast events are still playing require the simultaneous monitoring of millions of ...