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News & Commentary

Content tagged with Security Monitoring posted in August 2015
Catching Attackers With A Security Delivery Platform
Catching Attackers With A Security Delivery Platform
Dark Reading Videos  |  8/27/2015  | 
Shehzad Merchant, CTO of Gigamon, visits the Dark Reading News Desk to discuss a platform for finding and containing attackers once they've broken through your perimeter defense.
Seeing Into Security 'Blind Spots' With Bay Dynamics' Gautam Aggarwal
Seeing Into Security 'Blind Spots' With Bay Dynamics' Gautam Aggarwal
Dark Reading Videos  |  8/27/2015  | 
Gautam Aggarwal, CMO of Bay Dynamics, visits Dark Reading News Desk at Black Hat to explain that its important to not just develop a cybersecurity strategy, but to also better understand what your security blind spots are.
Black Hat, Data Science, Machine Learning, and YOU!
Commentary  |  8/14/2015  | 
The time has come for security pros to start honing in on their machine learning skills. Heres why.
Data Visibility: A Matter Of Perspective
Commentary  |  8/10/2015  | 
You can't analyze what you can't see. True at the dentist and true in security.
The NSA Playset: 5 Better Tools To Defend Systems
News  |  8/7/2015  | 
Using the NSA ANT Catalog as a model, security researchers learn about new attack techniques and technology.
From The Black Hat Keynote Stage: Jennifer Granick
News  |  8/5/2015  | 
World famous defender of hackers, privacy, and civil liberties exhorts attendees to preserve the dream of an open Internet.


Edge-DRsplash-10-edge-articles
I Smell a RAT! New Cybersecurity Threats for the Crypto Industry
David Trepp, Partner, IT Assurance with accounting and advisory firm BPM LLP,  7/9/2021
News
Attacks on Kaseya Servers Led to Ransomware in Less Than 2 Hours
Robert Lemos, Contributing Writer,  7/7/2021
Commentary
It's in the Game (but It Shouldn't Be)
Tal Memran, Cybersecurity Expert, CYE,  7/9/2021
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How Machine Learning, AI & Deep Learning Improve Cybersecurity
Machine intelligence is influencing all aspects of cybersecurity. Organizations are implementing AI-based security to analyze event data using ML models that identify attack patterns and increase automation. Before security teams can take advantage of AI and ML tools, they need to know what is possible. This report covers: -How to assess the vendor's AI/ML claims -Defining success criteria for AI/ML implementations -Challenges when implementing AI
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Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2022-3355
PUBLISHED: 2022-09-29
Cross-site Scripting (XSS) - Stored in GitHub repository inventree/inventree prior to 0.8.3.
CVE-2019-20319
PUBLISHED: 2022-09-29
** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.
CVE-2019-20320
PUBLISHED: 2022-09-29
DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.
CVE-2019-20321
PUBLISHED: 2022-09-29
** REJECT ** DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.
CVE-2019-20322
PUBLISHED: 2022-09-29
DO NOT USE THIS CANDIDATE NUMBER. ConsultIDs: none. Reason: This candidate was in a CNA pool that was not assigned to any issues during 2019. Notes: none.