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NEW QUESTION # 67
A critical objective for a new XSIAM deployment is to enable real-time detection of insider threats, specifically focusing on data exfiltration attempts. This requires monitoring sensitive file access on endpoints, cloud storage interactions (e.g., OneDrive, Google Drive), and email activity (Microsoft 365 Exchange Online). Which data sources, in order of criticality for this objective, should be prioritized for integration into XSIAM, and what specific data points are most crucial?
Answer: E
Explanation:
For insider threat detection related to data exfiltration, the most critical data sources are those directly monitoring access to and movement of sensitive data. Endpoint logs (file access, process activity) are paramount for detecting local exfiltration attempts. CASB logs provide visibility into cloud storage activities, which are common exfiltration vectors. Email logs (M365 Audit) are crucial for detecting data sent via email. The specified data points (username, file path, cloud app, email recipient, attachment hash) are essential for building effective detection rules and forensic analysis.
NEW QUESTION # 68
An XSOAR playbook utilizes an XSIAM API command Cxsiam-api-v2-get-alert-raw-data") to retrieve the raw data of an alert for detailed analysis. The command sometimes returns a 'KeyError: 'raw_data" even though the alert ID is valid and the alert exists in XSIAM. This suggests that the 'raw_data' field is occasionally missing from the API response for specific alert types or sources. How would you handle this in the playbook to prevent failures and ensure robust processing, while also facilitating future debugging if new missing keys appear?
Answer: A,B
Explanation:
A 'KeyError' means the key isn't present. Using .get()' with a default value (B) is a standard Pythonic way to prevent 'KeyError' and provides a fallback, allowing the playbook to continue. Logging a warning helps identify when data is missing. An explicit 'try-except KeyError' block (C) also prevents the playbook from failing and is crucial for debugging, as logging the full response helps understand why the key was missing for specific alert types. Both B and C contribute to robustness and debuggability. Option A is unlikely to solve a missing key error, as propagation doesn't introduce missing keys. Option D requires modification of XSIAM's core data model, which might not be feasible or desired. Option E addresses the error after it happens, but B and C provide more granular control within the parsing.
NEW QUESTION # 69
During a pre-installation assessment for XSIAM, a security architect identifies that 'SecureBank Inc.' utilizes a highly segmented network architecture with numerous air-gapped environments for critical financial systems. XSIAM, being a cloud-delivered platform, requires continuous data ingestion. What is the MOST appropriate strategy for 'SecureBank Inc.' to evaluate and potentially integrate these air- gapped environments with XSIAM while maintaining strict security controls?
Answer: C
Explanation:
Air-gapped environments are designed for extreme isolation, preventing direct network connectivity. XSIAM, being cloud-native, necessitates data ingestion. A one-way data diode allows data flow out of the air-gapped network but prevents any ingress, maintaining isolation while enabling telemetry collection. This is a common and highly secure pattern for integrating highly sensitive, isolated environments with cloud security platforms. Options B and E undermine the purpose of air-gapping, while C is not feasible as XSIAM is a SaaS offering, and D is highly impractical for continuous security monitoring.
NEW QUESTION # 70
A cybersecurity firm specializing in managed security services (MSSP) plans to offer XSIAM as a service to its diverse clientele. This requires a multi-tenant XSIAM deployment. The MSSP needs to ensure strict data segregation, performance isolation for each tenant, and efficient resource utilization across tenants. From a hardware perspective, what are the primary considerations to achieve these objectives, and what is a potential pitfall?
Answer: D
Explanation:
For an MSSP offering multi-tenant XSIAM, the key is to achieve logical isolation and performance guarantees without dedicating physical hardware per tenant, which is cost-prohibitive (A). HCI (B) is well-suited for this. It provides the necessary virtualization and resource governance (CPU, RAM, I/O limits) to create isolated virtual environments for each tenant on shared hardware, optimizing resource utilization. The pitfall of 'noisy neighbor' is inherent to shared infrastructure but can be mitigated with proper HCI configuration and resource planning. While containers (C) offer granularity, XSIAM deployments often leverage virtual machines, and HCI provides a robust underlying platform. GPUs (D) are not a primary requirement for general XSIAM multi-tenancy. Relying solely on XSIAM's internal multi-tenancy (E) without underlying hardware/virtualization guarantees would lead to performance issues in a demanding MSSP scenario.
NEW QUESTION # 71
A cybersecurity incident response team needs to rapidly ingest PCAP files from network forensics appliances into Cortex XSIAM for analysis. Due to the potentially large size and volume of these PCAP files, the Broker VM chosen for this task must be optimally configured for performance and storage. Which of the following commands or configuration steps would be most relevant for setting up the Broker VM to efficiently handle PCAP ingestion, assuming the PCAP files are transferred to the Broker VM's local storage?
Answer: E
Explanation:
NEW QUESTION # 72
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