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Using APM for Security

There are quite a few architectures running around for Cloud and virtual environments, but except for a few, they seem to all be missing the ability to gain access to Application Performance Management (APM) data as a means to provide an early warning system for security issues.

Most security reference architectures rely on the old methods to get warnings about security issues such as use of a SIEM and a log analysis tool to interpret what is in the SIEM. However, there is a richer set of more immediate data that can help us with the problem of security notifications: APM Data.

APM Data provides a rich and different approach to security early warnings but the interpretation of the APM Data implies knowledge of the application that security professionals may not have. Yes, this is not a requirement as the security team and the applications team will be solving problems together that come up when there is an anomaly within any APM Data. The application team wants to know why there is an anomaly, perhaps a code path was taken unexpectedly, while the security team wants to insure that code path was not a hack attempt.

There are several ways to do this:

- Application and security professionals working together to determine if the APM Data shows a security issues or a code issue

- APM tools with built in mechanisms that could be used for security, such as a list of websites from which data comes into the system and to which data flows out of the system.

- APM tools that self learn the code path, so that when a new code path is used both security and application teams are notified

- APM tools that show both teams data about the code path when anomalies occur. Perhaps going so far as to highlight what was different

- APM Tools that show the exact process of events such as a database query to be investigated. Perhaps there was a SQL Injection within the query

APM tools have a rich set of data that could be used by security professionals. These tools know more about what is happening within an application than almost anyone else and could be helpful as a part of defense-in-depth. The smarter the APM tool, the more useful it becomes for security purposes.

Minimally, APM tools must contain the following abilities to be useful by security professionals:

- A way to see when external to the application resources were accessed, such as an external website.

- A way to see all database queries (even obfuscated if the APM solution is in the Cloud).

- A way to know when an anomaly has occurred, perhaps a different database query was made (possible SQL injection) or some normally unused code path was taken.

- A way to know when performance changes, perhaps activity is happening too fast (which could imply a DoS attack) or too slow (misconfigured or malware present).

In the end, however, it is all about determining when something anomalous has happened and a means of providing that data to the security team as well as the application team so that both work the problem side by side.

ABOUT Edward L. Halekty

Edward L. Halekty is Virtualization and Cloud Analyst, The Virtualization Practice LLC.

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Using APM for Security

There are quite a few architectures running around for Cloud and virtual environments, but except for a few, they seem to all be missing the ability to gain access to Application Performance Management (APM) data as a means to provide an early warning system for security issues.

Most security reference architectures rely on the old methods to get warnings about security issues such as use of a SIEM and a log analysis tool to interpret what is in the SIEM. However, there is a richer set of more immediate data that can help us with the problem of security notifications: APM Data.

APM Data provides a rich and different approach to security early warnings but the interpretation of the APM Data implies knowledge of the application that security professionals may not have. Yes, this is not a requirement as the security team and the applications team will be solving problems together that come up when there is an anomaly within any APM Data. The application team wants to know why there is an anomaly, perhaps a code path was taken unexpectedly, while the security team wants to insure that code path was not a hack attempt.

There are several ways to do this:

- Application and security professionals working together to determine if the APM Data shows a security issues or a code issue

- APM tools with built in mechanisms that could be used for security, such as a list of websites from which data comes into the system and to which data flows out of the system.

- APM tools that self learn the code path, so that when a new code path is used both security and application teams are notified

- APM tools that show both teams data about the code path when anomalies occur. Perhaps going so far as to highlight what was different

- APM Tools that show the exact process of events such as a database query to be investigated. Perhaps there was a SQL Injection within the query

APM tools have a rich set of data that could be used by security professionals. These tools know more about what is happening within an application than almost anyone else and could be helpful as a part of defense-in-depth. The smarter the APM tool, the more useful it becomes for security purposes.

Minimally, APM tools must contain the following abilities to be useful by security professionals:

- A way to see when external to the application resources were accessed, such as an external website.

- A way to see all database queries (even obfuscated if the APM solution is in the Cloud).

- A way to know when an anomaly has occurred, perhaps a different database query was made (possible SQL injection) or some normally unused code path was taken.

- A way to know when performance changes, perhaps activity is happening too fast (which could imply a DoS attack) or too slow (misconfigured or malware present).

In the end, however, it is all about determining when something anomalous has happened and a means of providing that data to the security team as well as the application team so that both work the problem side by side.

ABOUT Edward L. Halekty

Edward L. Halekty is Virtualization and Cloud Analyst, The Virtualization Practice LLC.

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...