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Security Intelligence

“Threat intelligence is evidence-based knowledge, including context, mechanisms, indicators, implications and action-oriented advice about an existing or emerging menace or hazard to assets. This intelligence can be used to inform decisions regarding the subject’s response to that menace or hazard.” — Gartner

The technological landscape is in a constantly growing and evolving state. This means there is always an opportunity for malicious cybercriminals to exploit the inherent vulnerabilities which occur whenever a new platform, tool or patch is introduced to your business operations. There are risks in all forms of cyberattacks. 

Many CIOs, CTOs, and CISOs face enormous challenges to identify new threats as they emerge and increasingly sophisticated cyber attacks.  Even if systems are in place to monitor all of the events happening in the system, these can yield massive volumes of reporting data and too much data can be nearly impossible to parse without the right analytical tools or human analysts. This is a significant drain on time and resources, and can also leave potential vulnerabilities wide open to exploitation.

Security Intelligence Platforms (SIPs) is an integral tool in this never-ending battle and is intended to better mitigate this risk by:

•    Aggregating intelligence from a wide range of sources
•    Integrating seamlessly with an enterprise’s existing security systems
•    Curating, normalizing, and enriching data to facilitate risk-scoring
•    Analyzing and sharing threat intelligence


Security Intelligence Platform

Security Intelligence Graph

Elite Intelligence Tailored to Your Needs

Our solution produces superior security intelligence that disrupts adversaries at scale.

By combining analytics with human expertise to unite in an unrivaled variety of open source, dark web, technical sources, and original research and dynamically categorizing, linking, and analyzing intelligence in real-time, our platform delivers easy-to-consume insights for proactively reducing risk that is tailored to your needs.

The recent advances in Data Science and Machine Learning have attracted a lot of attention in cybersecurity because of their promise for effective security analytics, vulnerability analysis, risk assessment, and security policy validation.


Our framework for logical analysis, threat intelligence, and validation of security policies in cyber systems is based on multi-level model, consisting of the ontology of situations and actions under security threats, security policies governing the security-related activities, and graph of the transactions.


Our framework is validated using a set of scenarios describing the most common security threats in digital banking and a prototype of an event-driven engine for navigation through the intelligence graphs implemented.


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