Risk
12/18/2012
07:42 AM
Adrian Lane
Adrian Lane
Quick Hits
50%
50%

A Guide To Practical Database Monitoring

A look at what database activity monitoring can and can't do, and some recommendations on how to implement the best system for your organization

[Excerpted from "A Guide to Practical Database Monitoring," a new, free report posted this week on Dark Reading's Database Security Tech Center.]

Database activity monitoring, a form of application monitoring, examines how applications use data and database resources to fulfill user requests. DAM captures and records database events -- which, at minimum, includes all SQL activity -- in real time or near real time.

DAM is focused on the database layer, which allows for a contextual understanding of transactions, or how multiple database operations constitute a specific business function.

If you want to understand when administrators perform unauthorized alterations or view sensitive information, or be altered when systems are used in a manner inconsistent with best practices, DAM is a good choice.

DAM can even detect odd behavior that is hard to quantify but just doesn't look right -- such as when someone requests "too much" information or makes unusual requests.

It's the understanding of the database layer that allows DAM to provide both qualitative and quantitative analysis of events across multiple requesting applications and databases. It's this focus that allows DAM to provide value beyond traditional security information and event management or intrusion-detection systems, both of which collect generic system and network events.

DAM systems have been commercially available for more than a decade, and the platforms offer mature functions that scale with the IT systems they monitor. Here are the principal reasons companies use DAM products:

SQL Injection protection. DAM can filter and protect against many variants of SQL injection. While it does not provide completeprevention, statement and behavioral analysis techniques catch a great deal of known and previously unknown attacks. By whitelisting queries as acceptable from specific applications, DAM can detect most queries that have been tampered with and queries originating from unapproved applications.

DAM also can be deployed to block SQL injection and other attacks -- called "virtual patching"-- often before database vendors provide patches. Statements can be blocked before executing in the database, so there is no damage to data or the platform.

Behavioral monitoring. DAM systems capture and record activity profiles, both of generic user accounts and of specific database users. Detected changes in a specific user's behavior can indicate a disgruntled employee, hijacked accounts or even cases of oversubscribed permissions. Or maybe you're worried about attacks from mysterious Russian hackers or the much-hyped "insider threat." Behavioral monitoring is an effective technique to detect misuse, regardless of the source.

For a look at some of the other reasons why companies use DAM -- as well as a detailed guide on how to evaluate DAM products -- download the free report on database activity monitoring.

Have a comment on this story? Please click "Add a Comment" below. If you'd like to contact Dark Reading's editors directly, send us a message. Adrian Lane is a Security Strategist and brings over 25 years of industry experience to the Securosis team, much of it at the executive level. Adrian specializes in database security, data security, and secure software development. With experience at Ingres, Oracle, and ... View Full Bio

Comment  | 
Print  | 
More Insights
Register for Dark Reading Newsletters
White Papers
Cartoon
Latest Comment: nice one
Current Issue
Flash Poll
Video
Slideshows
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2015-1235
Published: 2015-04-19
The ContainerNode::parserRemoveChild function in core/dom/ContainerNode.cpp in the HTML parser in Blink, as used in Google Chrome before 42.0.2311.90, allows remote attackers to bypass the Same Origin Policy via a crafted HTML document with an IFRAME element.

CVE-2015-1236
Published: 2015-04-19
The MediaElementAudioSourceNode::process function in modules/webaudio/MediaElementAudioSourceNode.cpp in the Web Audio API implementation in Blink, as used in Google Chrome before 42.0.2311.90, allows remote attackers to bypass the Same Origin Policy and obtain sensitive audio sample values via a cr...

CVE-2015-1237
Published: 2015-04-19
Use-after-free vulnerability in the RenderFrameImpl::OnMessageReceived function in content/renderer/render_frame_impl.cc in Google Chrome before 42.0.2311.90 allows remote attackers to cause a denial of service or possibly have unspecified other impact via vectors that trigger renderer IPC messages ...

CVE-2015-1238
Published: 2015-04-19
Skia, as used in Google Chrome before 42.0.2311.90, allows remote attackers to cause a denial of service (out-of-bounds write) or possibly have unspecified other impact via unknown vectors.

CVE-2015-1240
Published: 2015-04-19
gpu/blink/webgraphicscontext3d_impl.cc in the WebGL implementation in Google Chrome before 42.0.2311.90 allows remote attackers to cause a denial of service (out-of-bounds read) via a crafted WebGL program that triggers a state inconsistency.

Dark Reading Radio
Archived Dark Reading Radio
Join security and risk expert John Pironti and Dark Reading Editor-in-Chief Tim Wilson for a live online discussion of the sea-changing shift in security strategy and the many ways it is affecting IT and business.