Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Most Incident Response Retainers Fail When It Matters Most

Many companies have an incident response retainer...but it doesn't actually make them risk ready. That's because too many retainers are built on outdated, hour-based "use it or lose it" models that don't actually reduce risk, improve resilience, or focus on outcomes. A modern retainer should drive preparedness, align with today's insurance realities, and actively lower exposure before an incident happens.

How to secure cloud workloads without building a full-scale SOC

You don’t need a 20-person SOC to protect your cloud-native environment. What you need is the right strategy: map your risk, embed security early, automate detection, and let smart tooling do the heavy lifting. Here’s how security and DevOps leaders with limited resources can achieve enterprise-level protection without enterprise-level headcount.

The Metric AI Security is Missing

As autonomous and semi-autonomous AI systems take on more responsibility within the enterprise, they shift from being “features” of software to becoming true internal actors. They make decisions, take actions, call tools, orchestrate workflows, and influence other AI agents. With this evolution, we must confront an uncomfortable truth: the metrics and response patterns we built for deterministic software no longer work.

Whole-of-state cyber defense: How AI-driven security helps US states protect what matters most

Short answer: Because attackers exploit fragmentation faster than governments can respond This shift toward collective cyber defense is a cornerstone of the new federal vision. The March 2026 National Cyber Strategy for America explicitly calls for a "new level of relationship between the public and private sectors" and demands "unprecedented coordination across government" to protect the American people.

Federated Search: Access Data Beyond Your SIEM-Instantly

See how CrowdStrike Falcon Next-Gen SIEM Federated Search enables security teams to access and query data beyond the SIEM—instantly, and without rehydration. In this demo, you’ll learn how to search data directly where it lives, including external sources like Amazon S3, Falcon LogScale, and NDR platforms, using a single query language.

Behavior Intelligence: The New Model for Securing the Agentic Enterprise

Behavior Intelligence is a security operations model that detects risk by analyzing behavior, automates investigation and response using AI, and measures whether security outcomes are improving over time. It focuses on how users, systems, and AI agents operate rather than relying only on predefined rules or knowns indicators of compromise. This shift matters because modern attacks rarely look malicious at first. They look normal.

Observability is security (We just pretended it wasn't)

For years, we’ve drawn this artificial line that equates observability with uptime, performance, and SRE dashboards, while security is about threats, alerts, SIEMs, and “bad things.” While that separation was always convenient, it was never real. The same logs that tell you your service is slow are the same ones that tell you it’s compromised. We just routed them to different teams, different tools, and different budgets, then acted surprised when neither side had the full picture.

Ep 40: What to expect when you are expecting an audit

On this episode of Masters of Data, we brought back GRC expert Cassandra Mooseburger to pull back the curtain on audits, and spoiler: it is far less scary than the IRS knocking on your door. We break down what actually separates a certification from an attestation from a report, how to run a prep process that does not send your engineering team running for the hills, and why the social capital you build across the business is just as important as the evidence you collect. If you have ever wondered how compliance work translates into closed deals and customer trust, this one connects those dots.

Five Reasons Security Operations Teams Augment Microsoft Sentinel With New-Scale Analytics

Security operations teams face rising alert volumes, tighter staffing, and growing pressure to reduce risk without adding tools or people. If Microsoft Sentinel sits at the center of your environment, you may already see where it helps and where it starts to strain. For many teams, that moment shows up when detections lag, investigations drag, or too much work funnels to a small group of specialists.

An Introduction to the NIST Risk Management Framework (RMF)

While inherently critical to today’s businesses that run on data, implementing and enforcing data security and privacy has never been straightforward. Between collecting different types of sensitive data and deploying unique architectures, organizations cannot adopt a one-size-fits-all solution, meaning that every security architecture is unique.

The New CISO Ep. 144 - Rob Knoblauch | Your Most Valuable Skills Aren't Technical

Cybersecurity debates tend to center on tools, frameworks, and threats. But Rob Knoblauch has built a 25-year career in global security leadership by focusing on the soft skills that determine whether a CISO survives, thrives, or burns out. In this episode of The New CISO, Rob joins Steve Moore to trace the through-line from running a multi-node BBS as a kid to serving as Deputy CISO of one of the world’s largest banks — and the career lessons he’s carried through every chapter.

Securing air-gapped environments with Elastic on Google Distributed Cloud

If you are not using AI to defend against AI, you will lose. But for organizations operating in air-gapped environments, the path to AI-driven defense can be blocked by the very isolation that protects them. Today, we're announcing that Elastic Security is now the embedded security layer for Google Distributed Cloud (GDC) air-gapped environments, expanding our collaboration with Google Cloud.

OWASP Defines AI Agent Risk. Behavioral Analytics Detects It

The OWASP Top 10 for Agentic Applications defines the most common AI agent risks, but real attacks unfold across multiple stages of behavior. Behavioral analytics detects those risks by modeling how users, AI agents, and their interactions change over time. By observing deviations across inputs, processing, and outputs, security operations teams can identify insider‑driven and agent‑driven threats that traditional, event‑based detection misses.

Best Practices for Managing Hybrid Cloud Security

As a kid, fruit punch always seemed like a magical drink. A mix of orange, cherry, apple, and cranberry created a unique flavor that differed substantially from any one juice. These hybrid drinks not only quenched thirst but their complexity made it difficult to truly recreate them by hand.

Ep 39: This is your first ransomware attack, not ours

On this episode of Masters of Data, we sat down with Steven Manley, CTO of Druva, to get the unfiltered truth about ransomware: it's not a matter of if you'll be breached, but when, and bad actors are now launching hundreds of attacks at a surprisingly low cost. We dig into why attackers lurk undetected for 200-plus days, how AI is being weaponized for everything from eerily convincing voice phishing to secretly training your own AI systems against you, and why your most protected assets are rarely what gets hit first.

Why AI won't steal your SOC analyst job

Let's address the elephant in the room, or I should say … the AI in the security operations center (SOC). If you're an SOC analyst, you've probably heard the doom and gloom predictions — AI is coming for your job! AI will replace you! Start updating your resumes now! In all honesty, that probably is not the case. AI isn't going to take your job, but it will change how you do it — and that's brilliant news.

Claude Mythos, Project Glasswing, and the Machine-Speed Security Race

Anthropic’s latest Claude news shows how AI is compressing the time from vulnerability discovery to credentialed lateral movement, and why security teams need behavior-based detection across humans and AI agents. Anthropic’s Project Glasswing, announced on April 7, 2026, gives selected partners early access to Claude Mythos Preview for defensive cybersecurity work. Anthropic says the model has already identified thousands of zero-day vulnerabilities across critical infrastructure.

This May Be Hurting Your Incident Response Efforts...

Some of the biggest delays in incident response aren’t caused by the attacker… they’re caused by the first steps taken after discovery. A few examples of well-intentioned actions that can unintentionally slow investigations and extend recovery timelines: Resilience isn’t built during an incident. It’s built before one ever happens.

92% of security leaders say their SIEM is effective. 51% say it's exceptional. What's living in that gap?

If you hear that a product is 92% effective, you’d assume it’s operating as intended. It seems like a success story. But dig a little deeper, and the picture changes; only 51% say that their security information and event management (SIEM) is very effective. What does it mean when a majority of security relies on a tool that works, but doesn’t work well enough? Not broken, not exceptional. It’s somewhere in between.

How Lean Security Teams Stay Ahead of AI-Powered Attacks

In “Terminator 2“, the T-800 does not win because humans worked harder. It wins because the same machine capability that made it dangerous was reprogrammed to fight for the defenders. Project Glasswing is exactly that. Claude Mythos Preview is Anthropic’s most powerful AI model and the one they refused to release publicly because it autonomously found thousands of zero-day vulnerabilities across every major operating system and browser. Flaws that decades of expert review never caught.

Ep 38: Wheels up, systems down: cybersecurity at cruising altitude

In this episode of Masters of Data, we buckle up and explore the staggering technological complexity behind the airline industry, from managing IoT devices across global fleets to navigating the data chaos of mergers and acquisitions. We dig into the delicate balance airlines strike between aging legacy systems and risky upgrades, and why getting that wrong isn't just costly but potentially catastrophic. We also look at how forward-thinking airlines are turning operational logs into real business wins, all while safeguarding the mountains of sensitive passenger data they collect every day.

How To Build an Effective IT Disaster Recovery Plan

When weather forecasters predict hurricanes and blizzards, people rush to the grocery store for bread, milk, snacks, and water. While the snacks may be part of the storm preparation, the bread, milk, and water are part of the post-storm recovery. People know that they may experience power outages, water service disruption, or difficulty getting to stores. In short, the people plan how to recover in a disaster’s aftermath.

Add Context, Risk Scoring, and Automation to Microsoft Sentinel

Microsoft Sentinel gives security operations team visibility into activity across Microsoft environments. As those environments grow, many teams start looking for deeper behavioral context, more consistent investigations, and ways to reduce manual work without replacing what already works. That’s where the Exabeam Microsoft Sentinel Collector comes in.

What is the OWASP Top 10 for LLM Application Security

Initially published by the Open Worldwide Application Security Project (OWASP) in 2023, the Top 10 for LLM Application Security list seeks to bridge the gap between traditional application security and the unique threats related to large language models (LLMs). Even where the vulnerabilities listed have the same names, the Top 10 for LLM Application Security focuses on how threat actors can exploit LLMs in new ways and potential remediation strategies that developers can implement.

Your AI SOC still needs a SIEM. Here's why that won't change.

Everyone is building sophisticated intelligence layers with improved models and smarter agents to automate threat detection, investigation, and response. It’s what is needed in order to mature into an AI SOC. However, the organizations seeing the most value from AI in their SOC are not focusing solely on the intelligence layer. They’re focusing on the data foundation first.

The Golden Throne: Stop Blindly Flushing

Most folks build their SIEM the same way they load a junk drawer: by shoving in whatever they already have—Active Directory, firewalls, and a whole lot of “eh, why not.” But at Graylog, we think you deserve better than a glorified log toilet. In this talk, we’ll flip the script: start with the problems you’re actually trying to solve, then figure out what you need to know, then what data supports that. And with Graylog’s Intelligent Data Routing, you can now act on that plan—sending high-value data to hot storage and archiving the rest to standby storage for when (and if) it’s needed. Build your SIEM like it has a brain—and a budget.

Falcon Next-Gen SIEM & Onum: Real-Time Telemetry Control and Federated Search

Discover how Falcon Onum and Falcon Next-Gen SIEM work together to optimize telemetry upstream and enable federated search across hot and archived data. Reduce ingestion overhead, maintain full visibility, and investigate across multiple data stores from a single platform.

The Ingestion Cost Problem the SOC Can No Longer Ignore

Security teams are collecting more telemetry across endpoints, cloud workloads, and SaaS platforms, but the cost of bringing that data into the SIEM keeps rising. What used to be a straightforward operational decision has become a central budget challenge. Security teams are not struggling with collecting data, they are struggling with affording to keep it, and when ingestion cost drives visibility decisions, the SOC loses ground.

Understanding the European Cybersecurity Certification Framework

The European Union (EU) cybersecurity regulatory landscape is reminiscent of a medieval tapestry full of interwoven threads that complement one another to create the larger picture. Regulation (EU) 2019/881 created the foundation for information and communications technology (ICT) cybersecurity certification.

The Island of Misfit Logs: Logging the Weird Stuff

Follow Joel Duffield while he talks about why some systems just don’t want to be logged. Whether it’s your backup tool that only sends email alerts, your budget IoT device that wasn’t built for enterprises, or that one SaaS app stuck on the free tier—there’s no clean way to get their messages into your SIEM.

The coefficient of security friction is slowing teams down. How can you fix it?

Like the sands through the hourglass, so are the days of our SOC lives…. An alert surfaces, and while it doesn’t immediately signal a critical incident, it carries just enough ambiguity to require attention. An analyst opens the investigation, begins pulling in context, reviews authentication activity, pivots into endpoint data, and checks for any corresponding changes in the cloud environment.

The New CISO Ep. 143 - Myke Lyons | From Chef to CISO: Unlocking the Recipe to Security Leadership

What does sharpening a knife over a case of onions have to do with incident response? For Myke Lyons, CISO at Cribl, the answer is everything. Myke trained at the Culinary Institute of America — learning speed and accuracy under the clock of a professional kitchen — before a summer IT job in Manhattan set him on an entirely different path. In this episode of The New CISO, host Steve Moore traces that journey and the surprising parallels between culinary craft and security leadership.

What's New in the April 2026 LogRhythm SIEM Release

Security operations demands precision and efficiency. Administrators manage complex environments, maintain data flow, uphold compliance, and keep the platform running at scale. Analysts work to quickly understand which alerts require action. Both roles depend on tools that reduce friction and help them move faster. The April 2026 LogRhythm SIEM release introduces updates that make daily security operations work more efficient.

What's New in New-Scale April 2026: Securing the Agentic Enterprise With Behavioral Analytics

AI agents now participate directly in daily work. They write code, summarize data, generate documents, and automate tasks at a speed and scale no human can match. As your organization adopts more assistants and autonomous workflows, you introduce a new type of insider: an agent operating inside your systems with real identities, credentials, and privileges. Human and machine activity now blend inside enterprise environments. The shift expands insider risk in ways many teams can’t yet see.