Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Introducing AI-Driven Policy Management for Better Security

Firewall policy management has reached a critical point, characterized by misconfigurations, overly complex rules, and ongoing audits. The burden continues to fall on already-stretched security teams. For CISOs, the question isn’t whether policies are being enforced; it’s whether they’re aligned, effective, and resilient across every location and environment.

Enabling Safe AI Adoption: Insights from Nightfall AI and Vanta

How should data security teams walk the fine line between enabling AI innovation, safeguarding sensitive data, and ensuring compliance? That question drives everything we build at Nightfall. It’s also an excellent jumping off point for an in-depth discussion among security experts.

SOAR & DSDL: Crossover for Agentic AI Workflow

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.

Identity Is the New Root Access: Rethinking Zero Trust in DevOps Environments

Amal Mammadov is a cloud security and detection engineering specialist working at the frontlines of identity-driven threats in modern cloud environments. His work focuses on how attackers exploit permissions, tokens, and machine identities, often without triggering traditional security controls. In this conversation, he breaks down why Zero Trust is no longer about networks but about controlling identity in fast-moving DevOps systems.

From Code to Clients: Turning Tech Expertise into Market Presence

You've spent years mastering your craft-writing clean, efficient code, solving gnarly backend problems, or architecting secure IT infrastructures. But here's the rub: even the most technically gifted professionals often hit a wall when it's time to grow beyond the code and into the client space. You're not alone if you've ever thought, "I'm good at what I do-why aren't clients lining up?"

How to Keep Your Business Running When Tech Goes Down

Picture this: It's a regular Tuesday morning. Your team is logging in, emails are starting to fly, and then-boom-your network crashes. The phones stop ringing, orders can't be processed, and your employees are left staring at loading screens. It's frustrating, it's costly, and it happens more often than many businesses like to admit. Technology is the backbone of most operations today, but it's far from infallible. Power outages, hardware failures, cyberattacks-any of these can grind your systems to a halt. The worst part? It never seems to happen when it's convenient.

Embeddings vs. Generative Models #AI #RAG #AIExplained #MachineLearning #OpenAI #LLMs #AIsecurity

Not all AI models are made to generate. Some are built to understand. Here’s the key difference: Generative models take in text and produce new text (think ChatGPT). Embedding models take in text and translate it into numbers, vectors that capture meaning. Why does that matter? Because embedding models let you turn documents into searchable vectors. That means when someone asks a question, you don’t need to search the whole doc, you just find the most relevant chunks based on meaning. And that’s what makes things like RAG (Retrieval-Augmented Generation) powerful and efficient.

The Ongoing Risks of Hardcoded JWT Keys

In early May 2025, Cisco released software fixes to address a flaw in its IOS XE Software for Wireless LAN Controllers (WLCs). The vulnerability, tracked as CVE-2025-20188, has a CVSS score of 10.0 and could enable an unauthenticated, remote attacker to upload arbitrary files to a susceptible system – but the real story is that this vulnerability drives home the persistent risks associated with hardcoded credentials, particularly JSON Web Tokens (JWTs), in network infrastructure components.

Continuous Threat Exposure Management (CTEM)

Continuous threat exposure management (CTEM) is a structured framework for continuously assessing, prioritizing, validating, and remediating vulnerabilities across an organization’s attack surface, enabling you to respond effectively to the most pressing threats over an ever-expanding attack surface. Reactive security is a temporary fix, not a sustainable solution.