ReversingLabs Titanium Platform takes a“glass box” explainable threat intelligence approach, which leverages threat data from both internal and external sources.
Modern digital objects – made up of layers of structured code and data – are central to the exchange or storage of information and are becoming increasingly complex. Many threat intelligence solutions offer threat classifications with little to no context. ReversingLabs Titanium Platform’s explainable threat intelligence approach leverages threat data from both internal and external sources to systematically analyze each layer of these complex objects, generating transparent actionable intelligence and human interpretable data to detect, classify and respond to malware threats.
Combining static, dynamic, and machine learning analysis, Titanium automates time-consuming and error-prone analysis tasks using a breadth of techniques, including object reputation, similarity analysis, and metadata correlation to discern, define and describe good from bad. ReversingLabs APIs and feeds integrate with threat intelligence platforms, connecting actionable malware indicators with existing workflows to automate containment and detect hidden malware. Titanium also links indicators to respective MITRE ATT&CK framework categories.
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The total cost of ownership ranges from $100,000-$150,000. This price includes deployment and onboarding costs while taking into account the need to support elastic scaling. Often existing SOC personnel including analysts and threat hunting support ongoing administration and usage of the platform.
“Titanium integrates with the other products in an organization’s security suite and is deployed easily as a hybrid cloud model,” the company said in its entry. “ReversingLabs threat intelligence research feeds and updates the Titanium Platform, and it grows with the changing threat landscape rather than becoming outdated by it.”
