Media Sonar is used by organizations at all levels of threat intelligence maturity from the initial stages until it is optimized. OSINT collection can be fine-tuned to address threats that are truly relevant and unique to an organization.
Corporate
OSINT Toolkit accelerates open-source intelligence investigations by 30x over traditional methods and drives swift business decisions that reduce risk and mitigate threats.
As healthcare and finance grapple with the mounting threats, growing costs, and accountabilities, security professionals are facing huge hurdles. Caught between a rock and hard place, many organizations are looking for new ways beyond defense and including proactive intelligence activities involving open sources of information.
Over half of Dark Web markets now contain higher concentrations of digital attack tools, identities, accounts, and information for sale rather than drugs and chemicals. Investigating the Dark Web is more crucial than ever before for organizations.
OSINT collection can be used to obtain information about Domains to help cybersecurity and information security teams make informed decisions, identify threats, or understand their other POIs better
Over the past 12 months, the concentration of identity and credential information has grown to be over 50% of all new pastebin content
Tips to automating third-party intelligence & POI investigations with a focus on vetting third-party partners, customers & vendors
Capturing the digital footprint of a Person of Interest with manual OSINT techniques is time-consuming and not always effective. Automated tools can help make connections between the data that might be missed otherwise.
Due to the high volume of false positives, many security teams can suffer alert fatigue which can lead to less than ideal behavior. Analysts can begin to miss, ignore, or turn off alerts. Although this behavior is clearly understandable, it can lead to teams missing important indicators of genuine threats.
Natural Language Processing is a form of machine learning that allows for the teaching of context to a data processing program. Its goal is to enable the rough creation of a human-like understanding of language. While it will not completely replace traditional keyword searching at this point - it will be a bolstering factor to efficacy and relevancy in OSINT investigations.
