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By Daniel Ballmer
Detection engineering is fundamentally a translation problem: rules need to be converted between formats, IOCs need to be converted into detection logic, and noisy alerts need to be converted into precise suppressions. That translation work is what consumes analyst time, and it's what Claude Code handles well.
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By Daniel Ballmer
A credential access event fired. An AI agent investigated it, correlated it against running processes, assessed the risk, and closed the ticket. No analyst touched it. The entire loop ran in minutes. This is what security operations look like when AI can actually operate in the environment rather than advise from outside it. Security operations have always required a special kind of person.
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By Daniel Ballmer
Every new customer shouldn't cost you headcount. But with stack diversity, it usually does.
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By LimaCharlie
Revisiting a conversation between LimaCharlie co-founder Christopher Luft and Chris Cochran, Field CISO & Vice President of AI Security at SANS Institute, on The Cybersecurity Defenders Podcast. For most of cybersecurity’s history, defenders could operate under a safe assumption: somewhere on the other end of an attack, a human was making decisions. Scripts might automate parts of the kill chain, tools might accelerate execution, but a person was in the loop.
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By Daniel Ballmer
Every MSSP is fielding the same question from clients right now:"Are we safe with AI?" Most are answering with some version of"yes, we're logging everything." In a recent Defender Fridays episode, Saurabh Shintre, Founder and CEO of Realm Labs drew a hard line between these two concepts."You can log prompt and response and this bare minimum you have to do.
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By Daniel Ballmer
Security teams enter an asymmetric battle when adversaries freely use AI to wage attacks. The aggressors are armed with top-tier capabilities. Defenders hesitate to adopt AI they can't see, trust, or control. SecOps teams are drowning in alerts and outpaced by adversaries who are unafraid to automate everything. The solution isn't another dashboard or another AI chatbot offering recommendations.
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By LimaCharlie
Most of the work covered in our agentic security operations content assumes one thing: Claude Code is already connected to your LimaCharlie environment. If you haven't done that yet, this is your starting point.
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By LimaCharlie
When nation states target cloud infrastructure, MSSPs are at risk. Many security teams have quietly accepted this as someone else's problem. It isn't, and ignoring the problem only increases their risk exposure. A recent episode of the Cybersecurity Defenders Podcast featured a conversation on cloud infrastructure vulnerability between LimaCharlie Co-Founder Christopher Luft and Prophet Security R&D Guru, Matt Bromiley.
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By LimaCharlie
A CVE surfaces in the morning. By the time you are talking to that customer, you can tell them: we saw it, we checked your environment, you were not affected, and we deployed a rule that will catch it if it ever shows up. For MSSPs and MDR providers, detection engineering is among the most valuable services you can offer. It is also among the most expensive to deliver consistently and at scale.
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By LimaCharlie
Picture a SOC that investigates its own alerts, hunts threats across customer tenants, isolates compromised endpoints, and writes its own detection rules. Envision the same SOC attacking itself every morning to find the gaps it missed, all before your analysts arrive for the day. This is not a roadmap item, but an operational reality on LimaCharlie. It’s what agentic AI security looks like on a platform built to support it.
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By LimaCharlie
This video walks through how single agents and multi-agent systems are built and run inside the LimaCharlie platform. Agents in LimaCharlie are defined declaratively. Each agent specifies the model it runs, its instructions, the tools it can access, what events trigger it, and the guardrails it operates under. This approach makes agents version controllable, reviewable, and portable across tenants.
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By LimaCharlie
Users are connecting AI tools without understanding the security implications. In this week's Intel Chat, Chris Luft and Matt Bromiley discuss a security breach at Vercel that originated from a compromised third-party AI tool used by one of its employees. The attacker gained control of the employee's Google Workspace account, which provided access to Vercel's internal environment.
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By LimaCharlie
This hands-on workshop is designed for security professionals interested in learning how to integrate advanced AI capabilities into their detection and response workflows. Attendees will receive practical, step-by-step instruction on leveraging the power of Claude Code, a sophisticated AI agent, to significantly enhance security operations within the LimaCharlie platform for detection engineering use cases.
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By LimaCharlie
In this episode of The Cybersecurity Defenders Podcast, we discuss some intel being shared in the LimaCharlie community. Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform. This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows.
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By LimaCharlie
The early days of U.S. cyber policy were defined by agencies that had no common language and no playbook to follow. J. Michael Daniel, President and CEO of Cyber Threat Alliance and former White House cybersecurity coordinator, talks through what it actually took to coordinate cyber policy across the federal government, build public-private partnerships that work, and stand up an intelligence sharing organization that serves the entire cybersecurity industry.
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By LimaCharlie
Join us for this week's Defender Fridays as Jeff McJunkin, Founder of Rogue Valley Information Security, walks through how he built an AI-powered pipeline to scan large codebases for real, exploitable vulnerabilities, using the Linux kernel as his proving ground. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.
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By LimaCharlie
J. Michael Daniel, President and CEO of Cyber Threat Alliance (CTA), gives us a peek behind the U.S. Government cybersecurity curtain and how he has helped improve the nation's security through the CTA.
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By LimaCharlie
In this workshop we will show how to use Claude Code with LimaCharlie to accelerate cloud security operations. We will have Claude Code deploy agents, create detections and identify issues before they become incidents. This hands-on workshop is designed to demonstrate the transformative power of integrating Anthropic's Claude Code, with the versatile security platform, LimaCharlie. Our focus will be on leveraging the capabilities of Claude Code to significantly accelerate and streamline various aspects of cloud security operations, turning reactive tasks into proactive, automated workflows.
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By LimaCharlie
The idea that AI agents will run security operations is becoming reality. But most platforms ignore the most important question: how do you secure the agents themselves? In this video I walk through why LimaCharlie is the most secure platform for running agentic security operations and demonstrate the architectural controls that make it possible. We look at the core mechanisms that allow AI agents to operate safely inside a SecOps environment, including.
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By LimaCharlie
In this week's Intel Chat, Chris Luft and Matt Bromiley discuss a design flaw in Anthropic's Model Context Protocol (MCP) that could enable large-scale supply chain attacks on agentic AI systems. Researchers at OX Security found that MCP's command execution allows malicious commands to run silently without sanitization checks or warnings.
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LimaCharlie gives security teams full control over how they manage their security infrastructure. Get full visibility into your coverage, build what you want, control your data, get the security capabilities you need, for however long you need them, and pay only for what you use.
LimaCharlie Sensors enable organizations to collect relevant security telemetry, logs and artifacts in real-time from any source and process that data at wire speed using a universal detection, response and automation engine. Use signature based detections, your favourite threat feed or subscribe to curated detection rules.
An engineering approach to cybersecurity:
- Endpoint detection & response: Respond to threats at wire speed and create powerful automations. Leverage solutions custom designed for your environment and control your security posture without having to rely on external vendors.
- Software-defined networking: Secure and monitor network access to your endpoints by providing advanced instrumented Zero Trust VPN access. LimaCharlie’s Secure Access Service Edge (SASE) makes secure remote networking easy and affordable.
- Windows Event Log monitoring: Gain the ability to capture and analyze Windows Event Logs (WEL) in real-time. Ingested WEL are indexed along common indicators of compromise and run through the Detection & Response engine.
- File & registry integrity monitoring: LimaCharlie's File & Registry Integrity Monitoring capability allows you to monitor specific file path patterns and registry patterns for changes.
- Monitoring cloud deployments: Secure your cloud using LimaCharlie’s advanced Sensor technology. Run in a VM, Docker, or as a privileged container in Kubernetes. Optimize your costs with fine-grained event collection control, autoscaling and automated sensor culling.
- YARA scanning at scale: Various YARA scanning methods are available. Run a scan on any given endpoint or continuously across the entire fleet in a way that does not impact performance. Pull YARA signatures from Github repositories and other sources, both private and public.
- Cutting edge detections: Leverage the work of best-in-class professionals with an unparalleled cost efficiency. Subscribe to threat feeds and curated detection rules. Easily write your own custom rules and apply them instantly to your entire fleet.
- Log and artifact monitoring: Ingest logs, or any file type, from any source and run them through the detection, automation and response engine. One year of full telemetry storage included - not just detections or select entries, but all endpoint, network, and external logs telemetry.
Detect and respond on everything.