The Raptor Architecture
The Raptor release re-architects the Falcon platform to provide petabyte-scale data collection, search, and storage, replacing traditional SIEM providers with search performance 150x faster than legacy solutions. Organizations consolidate their security data pipeline onto the Falcon platform to eliminate visibility gaps. The Raptor update includes intelligent filtering via Onum technology, which allows teams to manage which data enters the platform or sends it to other locations. Users find that the platform provides lightning-fast search across massive volumes of data with sub-second latency. This release provides XDR for all customers, delivering endpoint, identity, cloud, and data protection telemetry through the XDR Incident Workbench. The platform also includes a Collaborative Incident Command Center for real-time work from any location. Customers can ask natural language questions in English and dozens of other languages to receive intuitive answers from the Falcon platform. This functionality relies on the petabyte-scale storage of the Falcon LogScale technology. All EDR customers receive native XDR to accelerate investigations with full telemetry from across the platform.
Charlotte AI and Autonomous Defense
Charlotte AI coordinates multiple agents to investigate attacks across several systems at machine speed. The 2026 update expands this functionality to protect desktop applications like OpenAI’s ChatGPT and Anthropic’s Claude. Charlotte AI generates LLM-powered incident summaries and automates incident creation by correlating related context into single incidents. Charlotte AI coordinates specialized agents to work in parallel across endpoint, identity, cloud, and network domains, ensuring that every investigation returns unified context and structured, ready-to-use insights to the security analyst. The tool uses trillions of security events and human-validated content from CrowdStrike’s Counter Adversary Operations to improve precision. Users delegate tasks like malware analysis, reconnaissance, and exposure prioritization to out-of-the-box agents. Charlotte Agentic SOAR allows users to build no-code agents with AgentWorks or design custom apps with Falcon Foundry. This workspace allows users to build, orchestrate, and govern agentic workflows in a single environment using bidirectional MCP. While Charlotte AI assists analysts with endpoint-centric intelligence, SentinelOne Singularity differentiates itself through autonomous rollback capabilities that reverse file changes and registry modifications without human approval. Charlotte AI requires manual updates for playbooks.
Integration and Support Tiers
CrowdStrike integrates Microsoft Defender for Endpoint telemetry into the Falcon Next-Gen SIEM platform. This expansion allows the platform to ingest and correlate data from the Microsoft ecosystem. You should evaluate your current log management before committing to a total infrastructure replacement. Organizations standardizing on Falcon can start with 10 GB/day of free third-party ingestion included with Falcon Insight XDR.
| Support Level | Cost | Key Feature |
|---|---|---|
| Standard | Included | 24/6/365 Priority One Phone Support |
| Express | 12% of license (max $10,000) | 24/7/365 phone and live chat |
| Essential | 12% of license (min $10,000) | Product specialist and 30-day onboarding |
| Elite | 25% of license | Dedicated product and industry specialist |
Support response times vary by tier. Standard support provides an 8 working hours SLA, while Premium support offers a 4 working hours SLA. For P1 emergency issues, the Technical Support Engineer works directly with the customer to resolve the issue within 1 hour. Customers access help through email, the support portal, phone, or web chat. Charlotte AI uses a per endpoint pricing model that includes a set number of queries. To avoid overage charges, users needing more queries select flexible options. Data normalization from different sources remains labor-intensive for many users. Which organizations can successfully transition away from legacy SIEMs without facing significant data migration hurdles?
