5 Ways to Use APM for Post-Event Security Forensics
December 12, 2014

Brad Reinboldt
Network Instruments

Share this

Most security experts agree that the rapidly changing nature of malware, hack attacks and government espionage practically guarantees your IT infrastructure will be compromised. According to the 2014 Cost of Data Breach Study conducted by the Ponemon Institute, the average detection, escalation and notification costs for a breach is approximately $1 million. Post-incident costs averaged $1.6 million.

Once an attacker is within the network, it can be very difficult to identify and eliminate the threat without deep-packet inspection. The right Application Performance Management (APM) solution that includes network forensics can help IT operations deliver superior performance for users, and when incorporated into your IT security initiatives, deep packet inspection can provide an extra level of support to existing antivirus software, Intrusion Detection System (IDS) and Data Loss Prevention (DLP) solutions. The ability to capture and store all activity that traverses your IT infrastructure acts like a 24/7 security camera that enables your APM tool to serve as a backstop to your business’ IT security efforts if other lines of defense fail.

To use APM solutions for security forensics for post-event analysis, you must have a network retrospective analyzer that has at least the following capabilities:

■ High-speed (10 Gb and 40 Gb) data center traffic capture

■ Expert analytics of network activity with deep packet inspection

■ Filtering using Snort or custom user defined rules

■ Event replay and session reconstruction

■ Capacity to store massive amounts of traffic data (we’re potentially talking petabytes) for post-event analysis

Like utilizing video footage from a surveillance camera, captured packets and analysis of network conversations can be retained and looked at retrospectively to detect, clean up and provide detailed information of a breach. This back-in-time analysis can be especially important if the threat comes from within, such as a disgruntled employee within a company firewall. It also allows companies to determine exactly what data was compromised and help in future prevention.

Below are five ways to use network monitoring and analysis to investigate breaches:

1. Identify changes in overall network traffic behavior, such as applications slowing down that could be a sign of an active security breach.

2. Detect unusual individual user’s account activity; off-hour usage, large data transfers, or attempts to access unauthorized systems or services — actions often associated with disgruntled employees or a hacked account.

3. Watch for high-volume network traffic at unusual times, it could be a rogue user in the process of taking sensitive data or stealing company IP.

4. View packet capture of network conversations to determine how the breach occurred and develop strategies to eliminate future threats by strengthening the primary IT security.

5. Discover what infrastructure, services, and data were exposed to aid in resolution, notification, and regulatory compliance.

By incorporating retrospective network analysis, companies can use their network monitoring as a back stop to IDS and DLP solutions, and accelerate detection and resolution.

Brad Reinboldt is Senior Product Manager for Network Instruments, a division of JDSU.
Share this

The Latest

March 27, 2024

Nearly all (99%) globa IT decision makers, regardless of region or industry, recognize generative AI's (GenAI) transformative potential to influence change within their organizations, according to The Elastic Generative AI Report ...

March 27, 2024

Agent-based approaches to real user monitoring (RUM) simply do not work. If you are pitched to install an "agent" in your mobile or web environments, you should run for the hills ...

March 26, 2024

The world is now all about end-users. This paradigm of focusing on the end-user was simply not true a few years ago, as backend metrics generally revolved around uptime, SLAs, latency, and the like. DevOps teams always pitched and presented the metrics they thought were the most correlated to the end-user experience. But let's be blunt: Unless there was an egregious fire, the correlated metrics were super loose or entirely false ...

March 25, 2024

This year, New Relic published the State of Observability for Financial Services and Insurance Report to share insights derived from the 2023 Observability Forecast on the adoption and business value of observability across the financial services industry (FSI) and insurance sectors. Here are seven key takeaways from the report ...

March 22, 2024

In MEAN TIME TO INSIGHT Episode 4 - Part 2, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses artificial intelligence and AIOps ...

March 21, 2024

In the course of EMA research over the last twelve years, the message for IT organizations looking to pursue a forward path in AIOps adoption is overall a strongly positive one. The benefits achieved are growing in diversity and value ...

March 20, 2024

Today, as enterprises transcend into a new era of work, surpassing the revolution, they must shift their focus and strategies to thrive in this environment. Here are five key areas that organizations should prioritize to strengthen their foundation and steer themselves through the ever-changing digital world ...

March 19, 2024

If there's one thing we should tame in today's data-driven marketing landscape, this would be data debt, a silent menace threatening to undermine all the trust you've put in the data-driven decisions that guide your strategies. This blog aims to explore the true costs of data debt in marketing operations, offering four actionable strategies to mitigate them through enhanced marketing observability ...

March 18, 2024

Gartner has highlighted the top trends that will impact technology providers in 2024: Generative AI (GenAI) is dominating the technical and product agenda of nearly every tech provider ...

March 15, 2024

In MEAN TIME TO INSIGHT Episode 4 - Part 1, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses artificial intelligence and network management ...