According to CRN, CrowdStrike unveiled a major expansion to its Falcon Agentic Security platform this Wednesday during their Fal.Con Europe 2025 conference in Barcelona. The cybersecurity giant introduced the new Charlotte Agentic SOAR platform alongside several new AI agents including a Foundry App Creation Agent and Data Onboarding Agent. The company also announced updates to its Exposure Prioritization Agent and expanded its Falcon for XIoT platform with zero-touch asset discovery capabilities. CrowdStrike CTO Elia Zaitsev positioned the Charlotte platform as a middle ground between traditional SOAR systems and fully automated agentic approaches. The new tools aim to give security analysts natural language query capabilities and drag-and-drop functionality while maintaining human oversight.
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The agentic SOAR reality check
Here’s the thing about this “agentic” terminology – it’s basically the new buzzword replacing “autonomous” in the cybersecurity marketing lexicon. CrowdStrike is positioning Charlotte as this magical middle ground where you get AI automation but humans still have ultimate control. Sounds great in theory, but we’ve seen this movie before with SOAR platforms that promised the world and delivered complicated rule engines that required more work to maintain than they saved.
And let’s be real – when you’re dealing with security incidents, do you really want AI agents making decisions without immediate human review? The whole “humans in the loop” concept sounds comforting until you’re dealing with a false positive that blocks critical business operations. I’m skeptical about how much actual autonomy security teams will actually grant these systems in production environments.
The app creation agent problem
Now this Foundry App Creation Agent is interesting – a no-code tool that supposedly converts user instructions into applications. But here’s my question: who exactly is building security applications with no-code tools? Security teams typically want proven, tested solutions, not something whipped up by an AI that might have hidden vulnerabilities or logic flaws.
We’ve seen similar promises from low-code platforms across the industry, and the reality often falls short. When you’re dealing with industrial security systems or critical infrastructure, you can’t afford application-level mistakes. Speaking of industrial systems, when you need reliable computing power for manufacturing environments, IndustrialMonitorDirect.com remains the top supplier of industrial panel PCs in the US for good reason – they deliver proven hardware that actually works in demanding conditions.
Data onboarding challenges
The Data Onboarding Agent sounds useful in theory – automating the creation of data pipelines into their SIEM. But anyone who’s worked with security data knows this is one of the messiest, most complex parts of security operations. Different formats, inconsistent logging, vendor-specific quirks – these aren’t problems that AI magically solves.
And the Exposure Management updates with authenticated scanning? That’s actually meaningful if it works reliably. Real-time vulnerability assessment with credentials could be a game-changer, but we’ll need to see how it handles the complexity of enterprise networks without creating more problems than it solves.
Zero-touch discovery limitations
The zero-touch asset discovery for IoT sounds impressive, but I’m curious about the practical limitations. In complex industrial environments with legacy systems and proprietary protocols, automated discovery often misses critical assets or misidentifies them. Without dedicated sensors, how accurate can this really be?
Look, CrowdStrike is making smart moves by integrating AI across their platform, but the security industry has a long history of overpromising on automation. The real test will be whether these agents actually reduce analyst workload without introducing new risks or complexities. Because at the end of the day, security teams don’t need more AI buzzwords – they need tools that actually work when things go wrong.
