Database Cyber Security Guard detects Zero Day, Data Breach and Ransomware Attacks within a few milli-seconds with Deep Packet Inspection. Would have detected the LOG4J and SUNBURST data breaches immediately. Protects data as organizations move to the cloud. Performs real-time threat prediction and prevention.
January 22, 2024. LoanDepot a leading provider in the loan and mortgage industry reported a significant cybersecurity breach impacting approximately 16.6 million customers. Customers had their sensitive personal information stolen by Hackers.
December 18. 2023. Mortgage giant Mr. Cooper data breach affected 14.7 million people. Hackers accessed customer names, addresses, social security numbers, bank account numbers and more.
December 16. 2023. MongoDB announced its corporate databases were breached and that customer data was accessed by Hackers. The unauthorized access had been going on for some time before being discovered.
September 14, 2023. Caesars the largest U.S. casino chain paid a $15 million ransom to avoid the online leak of its loyalty program database. Customer driver license and social security numbers were stolen by Hackers in a recent cyberattack.
September 01, 2023. MSSQL databases hacked by DB#JAMMER. After infiltration Hackers expand their foothold within the target server and use MSSQL as a beachhead to launch several different payloads.
Morgan Stanley in 2021 disclosed a breach where customer names, addresses and social security numbers were stolen. Data was encrypted however Hackers were able to obtain the decryption key to unencrypt the database data.
The Database Cyber Security Guard informs Security Professionals and DBAs of Zero Day, Ransomware and Data Breach attacks within milli-seconds when Hacker, Rogue Insider, Supply Chain, 3rd Party Cyber Risk, Phishing Email, Dev Ops Exploit and SQL Injection Attacks occur. A next generation approach to Data Loss Prevention (DLP).
Protects credit card, tax ID, medical, social media, corporate, manufacturing, trade secrets, law enforcement, defense, homeland security, power grid and public utility data. Supports key GDPR compliance requirements.
Product performs real-time Data Loss Prevention using Deep Packet Inspection of 100% of the database network packets. Does not need to connect to the protected database servers. Protects 24×7 all data in DB2, Informix, MariaDB, MongoDB, MySQL, Oracle, PostgreSQL, SQL Server and SAP Sybase cloud and on-premises databases.
Zero Impact Sql Capture Agent and Agentless Monitoring of SQL Wait Times products.
Be informed of long running SQL within milli seconds of its occurrence. Product uses non-intrusive Network Sniffing and Deep Packet Inspection (DPI) to capture 100% of the SQL activity with its SQL text, end-user response time and much more. 95% of database performance issues are due to long running SQL that the product immediately pinpoints.
Baselines the performance of every unique SQL statement. Most servers have 2K to 20K unique SQL statements that run millions of times a day. Has ZERO impact on the database server. Available for DB2, Informix, MariaDB, MySQL, Oracle, PostgreSQL, SQL Server and SAP Sybase.
Plus Agentless Monitoring of SQL Wait Times. Drill into SQL wait conditions, SQL wait times, I/O stall times, blocking, deadlocks, performance counters, disk usage, index fragmentation and SQL agent job performance. 3D graphs of SQL wait times, I/O stall times, performance counters, procedure cache, buffer cache and disk usage. Automatically identifies poor SQL plans for SQL having high wait times.
No intrusive database SQL profilers or traces are used. View a summary of server farm performance in dashboards and heatmaps. Has no impact on database servers or the servers they run on.
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