ASSETS PROTECTION

Protect the Your Essentials

THE
CHALLENGES

Recent increase of cybercrime has pulled attention of many organizations, with the contemporary corporate world recognizing the importance of external perceptions. Damage of an organization’s reputation is the most destructive collateral it may face. This fear also stems from possible loss of revenue, decreased shareholder value, whether guilty of a crime or not. Growing awareness of threats isn’t solely due to external perpetrators, as insiders, including disgruntled employees, pose greater risks and challenges to companies looking to detect and deter cybercrime.

OUR
SOLUTION

Cobwebs’ solutions help track a wide variety of web and social media sources for leveraged awareness of online reputations and threats. Our monitoring tools enable generation of live alerts and notifications to stay aware of individuals discussing relevant topics. Live streaming of data powers continuous tracking, while following the online activity for optimal asset protection.

KEY FEATURES

BRAND PROTECTION

With our system’s overlaid intelligence cycles, security professionals can now connect disparate intelligence data points, creating a rich, colorful, connected, and holistic vision of vulnerabilities, threats, and potential breaches. Cobwebs’ real-time insights help maintain effective protection of employees, executives, and information – whether at work, home, or anywhere along the way.

PREDICTIVE MONITORING

Monitor social media, surface, deep and dark web layers continuously to collect new data and receive relevant intelligence, insight, and alerts. Leading artificial intelligence algorithms conduct statistical calculations with learned models, offering predictive insights, like deviations in targets’ activities, changes in sentiment and other unconventional anomalies.

NATURAL LANGUAGE PROCESSING

Isolate and extract context of messages and text, as our natural language processing algorithms continuously process collected text. Our system’s automation technology identifies common entity types in multilingual text, from people, to organizations, locations and more, while also providing sentiment types and supporting a multitude of languages.

RELATED CASE STUDIES

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