Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Observability

7 DataOps Best Practices According to BMCs Putting Ops Into DataOps Report

DataOps, a practice aimed at improving the quality and reducing the cycle time of data analytics, is becoming increasingly crucial as businesses strive to leverage data for competitive advantage. According to BMC's "Putting Ops Into DataOps" report, businesses have adopted several best practices to streamline their DataOps processes. In this article, we delve into seven key practices highlighted in the report, providing insights into how enterprises can optimize their data operations for better outcomes.

Observability Meets Security: Tracing that Connection

As outlined in a previous post, OpenTelemetry and Splunk Observability Cloud can provide great visibility when security teams investigate activity in modern environments. In this post, we look at another aspect of this visibility: how you can use traces to see directly into the workings of an application to find a potential threat. Let’s imagine we’re the security analyst, and a message comes across from the Security Operations Center (SOC).

Embracing Observability Tools to Empower Security Incident Response

Companies spend a huge amount of their budget trying to build, manage, and protect cloud environments. Since there is no industry standard for sharing data feeds between development and security, each team is on an island trying to figure out how to keep their side of the room clean. The most robust security incident response teams understand the incredible value of using observability telemetry for security workflows, but are unsure how to make it happen in practice.

How can unifying observability and security strengthen your business?

Bolster your organization’s observability and security capabilities on one platform with AI, anomaly detection, and enhanced attack discovery Organizations in today’s digital landscape are increasingly concerned about service availability and safeguarding their software from malicious tampering and compromise. The traditional security and observability tools often operate in silos, leading to fragmented views and delayed responses to incidents.

3 observability best practices for improved security in cloud-native applications

Observability, especially in the context of cloud-native applications, is important for several reasons. First and foremost is security. By design, cloud-native applications rely on multiple, dynamic, distributed, and highly ephemeral components or microservices, with each microservice operating and scaling independently to deliver the application functionality.

Redact sensitive data from your logs on-prem by using Observability Pipelines

As your business evolves to serve more users, your applications and infrastructure will generate an increasing volume of logs, which may contain sensitive data such as credit card numbers, IP addresses, and tokens. When you collect sensitive data, you may be subject to laws such as GDPR—which restricts the transfer of personal data across borders, and you may face legal consequences if this data is exposed outside your infrastructure.

5 reasons why observability and security work well together

Site reliability engineers (SREs) and security analysts — despite having very different roles — share a lot of the same goals. They both employ proactive monitoring and incident response strategies to identify and address potential issues before they become service impacting. They also both prioritize organizational stability and resilience, aiming to minimize downtime and disruptions.

Securing the Modern Enterprise: Unified Microsegmentation and Observability with Calico

In the ever-evolving landscape of enterprise networks, the traditional approach of relying on a fortified perimeter to secure internal assets faces significant challenges. The dichotomy of a trusted internal network and an untrusted external environment, enforced by perimeter defenses, has been a longstanding strategy.

How to Improve Cybersecurity with Datadog's End-to-End Observability Tailored For the US Government

Watch this webinar to learn how: The Datadog platform helps agencies work across silos that separate development, operations, and security teams to foster collaboration and improve cybersecurity posture Datadog has committed to higher levels of security authorizations, including FedRAMP® High, and Impact Level 5 for DoD agencies Our end-to-end observability platform helps agencies address the unique challenges faced by IT leaders in government, including compliance with stringent security standards outlined in Executive Orders and other regulatory directives.

Modernizing financial services: A deep dive into Elastic Cloud on AWS for Observability, Security, and more

In the dynamic landscape of financial services, data is not just currency; it's the key to innovation and operational excellence. Data is constantly streamlining from devices, logins, transfers, transactions, and much more, and it’s bound to increase with an ongoing reliance on digital channels. This creates a massive opportunity and responsibility for financial institutions, as their customers (and regulators) demand more from banking providers.