Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

You’re standing in the grocery store, comparing the nutrition information for two different cereals. The enriched wheat bran cereal has more B12 vitamin content than your favorite sugary one. As an adult, you know that your body needs the additional vitamins in the enriched bran flakes, even if you really want that fruity, sugary hit in the morning. In security, your data needs that additional hit of nutrition so you can correlate and analyze events more effectively.

By integrating Cisco’s Firepower Threat Defense (FTD) with Splunk’s analytics platform, your security team immediately gains comprehensive, organization-wide visibility into network threats far beyond what any single firewall can detect alone. Yet, despite the critical need to bridge network and security data, many organizations still deploy perimeter defenses like Cisco's FTD but struggle to convert its rich telemetry into actionable insights useful to a SOC.

SOC leaders that aren’t thinking about the future are already behind — and what’s beyond 2025 is rapid evolution. The breakneck pace of AI innovation, a widening skills gap, and increasingly sophisticated threat tactics will encourage (one could even say force) SOC teams to embrace forward-leaning strategies to stay resilient.

Software composition analysis is a type of security testing that identifies the open-source and third-party components used in modern software. Historically, most applications were built entirely in-house. Today, however, with the widespread use of package managers, cloud-native development, and reusable code, developers rely heavily on external libraries and modules. In fact, open-source code makes up as much as 70–90% of the codebase for a single app.

Bring application and security teams together with end-to-end application threat detection and response—right inside Splunk.

Recently we released the Splunk App for Data Science and Deep Learning (DSDL) v5.2.0. This update introduced new features for integrating large language models (LLMs) and retrieval-augmented generation (RAG). With DSDL v5.2.0, users can easily perform LLM prompts, vector searches, RAG, and function calling directly from the app's dashboards.

Security analysts know the feeling: The all-too-familiar dread creeps in as a new exploit hits the headlines. Cyber teams worldwide brace themselves, knowing that their weekends, vacations, and carefully laid plans are likely about to go up in smoke. The first question a CISO will always ask rings in their ears: “Are we protected against this?”

Have you ever sat in an interview and felt that something wasn't quite right? Your intuition may have been closer to the truth than you realized. A new kind of adversary has emerged, and they aren’t trying to break through your firewall; instead, they are logging in through your VPN using their freshly issued business credentials.

We’re all exhausted—both by the problem and by hearing about it. False positives and overwhelming alert volume have long plagued security operations. And despite years of innovation, solutions have remained elusive. Alert volume. Alert fatigue. SOC burnout. This persistent problem puts security teams in a tough position: For CISOs and SOC managers, it’s a lose-lose scenario.

What does it really mean to have a SIEM Without Compromise? For too long, security teams have been stuck in a no-win game—forced to choose between visibility and cost, detection breadth and team capacity, automation, and control. Every decision felt like a trade-off, with real-world consequences: dropped logs, missed alerts, and inconsistent response when it mattered most. With the Spring ’25 release of Graylog Security 6.2, we’re eliminating those compromises.