Organic Search Analysis
Organic Search analysis can be leveraged to detect cyber threats through several sophisticated methods that combine machine learning, heuristic approaches, and real-time data analytics from sources like search engine results.
Sec Armor
Sec Armor is a cybersecurity think thank created by Elie Berreby
We sit in a tank and think to prevent cyber threats targeting brands.
Heuristic Analysis
Beyond machine learning, heuristic methods can be applied where predefined rules or logic checks for activities that might not be malicious in isolation but can signal threats when combined. For instance, searches for hacking forums, combined with queries for specific corporate information, could flag potential targeted attacks..
Real-time SERPs Monitoring
Continuous monitoring of search trends can lead to real-time alerts. If a new malware strain's details start appearing in searches via SEO poisoning or discussions on social platforms, immediate alerts can be sent out to cybersecurity teams for further investigation or action..
What we do
Organic Search data can be integrated into broader cyber threat intelligence frameworks. This integration helps in correlating search trends with known threat vectors, providing context and deeper insights into the intentions or capabilities of potential attackers.
Behavioral Analysis
Unusual search behavior for an individual or a group, might indicate compromised accounts or insider threats.
Organic Search Risk Management
We educate organizations on the risks associated with organic search, and strategies for mitigating threats.
Crisis Response
We create tailored SEO crisis response plans to address incidents such as data breaches, website defacements, or negative SEO attacks.
Organic Search Threat Intelligence
We leverage predictive analytics on search engine data, we identify potential cybersecurity risks before they escalate, such as new malware distribution techniques.
Cybersecurity Policy Advisory
We teach analysts how to interpret organic search data for cybersecurity purposes. Topics include data analytics technique and understanding cyber threats.
Cyber Threat Prediction Model
Our private predictive models use machine learning to forecast cyber threats based on historical and real-time organic search data.