The cybersecurity industry is increasingly recognizing the value of AI-driven innovations for various security use cases. Crowdstrike’s Charlotte AI is the newest testament to this confidence with its agentic AI-driven threat detection capabilities. A popular name in the cybersecurity solutions market, Crowdstrike recently introduced this AI detection triage as an answer to faster and more reliable security detection needs. The triage is capable of saving hours of manual effort by offering 98% accurate detection results.
AI Threat Against Cybersecurity
Even from the most optimistic point of view, most AI-based security systems are still in their adolescent days where there are more tantrums than actual, valuable threat-detection. This is actually a bigger challenge than it seems as the overwhelming false positives cripple the security teams in the face of real threats. Here’s how this challenge manifests:
- Rapid Attacks: Threat actors are more competent now in scaling up their attacks. In fact, technologies like AI empower them to launch multiple attacks in a short duration of time, overwhelming AI-based security solutions.
- Delays in Threat Response: The alert fatigue caused by false positives, slows down the resources required when it comes to real attacks. Moreover, the shorter break time between the initial breach and lateral movement also makes it difficult for security teams to mitigate attacks before subsequent damage.
Crowdstrike’s Charlotte AI detection triage can do away with these problems by leveraging Crowdstrike’s expertise and experience in handling the latest threats.
Crowdstrike’s Expertise Meets Agentic AI
The primary enabler for Charlotte is Crowdstrike’s highly plausible cybersecurity solution - Crowdstrike Falcon. The solution helps the AI detection triage to be trained on millions of decision data from the real world. Here’s how the collaboration works:
- AI-powered detection triage: Charlotte’s agentic AI ensures that the detections from Falcon can be autonomously analyzed and prioritized to offer minimal false positives to security teams.
- Crowdstrike’s Unique data: The AI models used by Charlotte are trained for real-world adversaries thanks to the unique triage data curated by Falcon over the years.
- Closed-Loop Feedback: The proprietary data offered by Falcon also offers as an autonomous feedback system for Charlotte to consistently improve its detection accuracy while ensuring high speed.
- Empowering SOC Teams: For faster detection with minimal false positives, Charlotte AI offers automated triage where high-fidelity response workflows can eliminate critical threats.
- Responsible AI: Charlotte also operates on customer-defined controls that enable the security teams to oversee the automated decisions made by the agentic AI. This ensures an additional layer of accuracy and responsible detection against potential threats.
Conclusion
Charlotte is being seen as the much-needed next step in Crowdstrike’s cybersecurity portfolio. Standing on the shoulders of Crowdstrike Falcon, the AI detection triage has found a way to offer accurate and fast threat detection while doing away with the overwhelming false positives. With Agentic AI capabilities and Crowdstrike’s vast cybersecurity experience, Charlotte AI is all set to transform security detection and remediation as we know it.
