Predictive Database DLP Information
systems are riddled with blind spots. Hackers lurk in the shadows
attacking your databases and stealing your most sensitive data. You need
DB Networks® AI-based predictive database data loss prevention.
Deep SQL inspection continuously monitors to let you know who’s accessing
which databases and what they're doing. Artificial intelligence is applied
to immediately identify insider threats and external database attacks that
otherwise would have resulted in your data being stolen.
database data loss by applying advanced artificial intelligence to accurately
predict insider threats and cyber attacks
Database Discovery and
now gain deep visibility into database infrastructure activity. In this
short video you'll learn about the insights DB Networks provides
including non-intrusive database discovery and application to database
Artificial Intelligence Based
short informational video you'll see how DB Networks AI-based predictive
database DLP is able to immediately and accurately alert to database insider
threats and external database attacks that would otherwise result in organization
loosing sensitive data.
Identifying Insider Threats Through Machine Learning
prevent data loss resulting from attackers using stolen database
credentials, the industry is adopting a new
security paradigm based on machine learning and behavior
SQL Injection Defense: There are no Silver Bullets
injection is one of the most common attack vectors. Experience has
proven there are no single silver
bullet solutions to combat the threat. This white paper explores why
this is so.
How to Instrument for Advanced Web Application Penetration
information on how to properly instrument your database infrastructure
to far more vulnerabilities
during penetration testing.
Networks is effective against highly advanced database attacks, including
APTs, that have
breached the perimeter"
CEO, Strategic Security
Artificial Intelligence To Detect Equifax Style Database
Networks DBN-6300 applies machine learning to database UBA to immediately
identify unauthorized or suspicious database activity indicative of an
Breach: Database Insider Threats From Third-Party Software
recent database breach at Equifax serves to highlight the database
insider threat organizations face today. DB Networks CTO Dave Rosenberg
discusses the Equifax database attack and how it could have been detected
Analyst Brief on DB Networks Agentless DAM
Analyst Brief discusses why Database Activity Monitoring (DAM) should be
a part of the security strategy for every organization using databases
for storing critical information.
Insights into APT & Your Hidden
what’s below the surface, what you’re not
observing, that's your largest security risk. In this
webinar you will learn:
stealth methods attackers use to remain undetected
prevent database data loss
non-intrusively discover all your databases including the undocumented
contact us to set up an informational meeting to discuss how DB Networks
can "shine a light" on your database infrastructure and protect your
sensitive data from being stolen.
15015 Avenue of Science
San Diego, CA 92128
Tester Joe McCray speaks on his experience with DB Networks machine
learning and behavioral analysis based products. DB Networks technology
was able to immediately identify all of his advanced SQL Injection
attacks even after Joe had successfully bypassed the Web Application