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.
The Latest
The demand for real-time AI capabilities is pushing data scientists to develop and manage infrastructure that can handle massive volumes of data in motion. This includes streaming data pipelines, edge computing, scalable cloud architecture, and data quality and governance. These new responsibilities require data scientists to expand their skill sets significantly ...
As the digital landscape constantly evolves, it's critical for businesses to stay ahead, especially when it comes to operating systems updates. A recent ControlUp study revealed that 82% of enterprise Windows endpoint devices have yet to migrate to Windows 11. With Microsoft's cutoff date on October 14, 2025, for Windows 10 support fast approaching, the urgency cannot be overstated ...
In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.
CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...
We surveyed IT professionals on their attitudes and practices regarding using Generative AI with databases. We asked how they are layering the technology in with their systems, where it's working the best for them, and what their concerns are ...
40% of generative AI (GenAI) solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023, according to Gartner ...
Today's digital business landscape evolves rapidly ... Among the areas primed for innovation, the long-standing ticket-based IT support model stands out as particularly outdated. Emerging as a game-changer, the concept of the "ticketless enterprise" promises to shift IT management from a reactive stance to a proactive approach ...
In MEAN TIME TO INSIGHT Episode 10, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Generative AI ...
By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner ...