Security Analytics

The complexity of contemporary cyber threats, the persistent nature of advanced attacks, and the imperative of ongoing risk management necessitate enterprises to reassess their entire security infrastructure. It’s now imperative that security analytics encompass detailed analysis of user information, attack patterns, context, timing, and location spanning identity, endpoints, servers, applications, web, email servers, and non-traditional systems.

The proliferation of cloud services, mobile workloads, and hybrid deployments underscores the need for visibility into cloud applications and services. This entails a dynamic infrastructure and a holistic view of application activities to swiftly identify, investigate, and respond to internal and external threats in real-time.

SWISS CYBERTECH’s security solutions, driven by analytics, offer a comprehensive cybersecurity approach, incorporating advanced methodologies like machine learning and behavioral analytics. These techniques empower security teams to promptly identify, investigate, and address threats within a broader security context than legacy security products allow. Security Analytics solutions are deployable on-premises, in the cloud, or via hybrid cloud configurations.

Use Cases:

• Insider Threat Detection: Employ machine learning, behavior baselines, peer group analytics, and behavior analytics to automatically identify insider threats.
• Advanced Threat Detection: Utilize kill chain analysis to trace the stages of an advanced threat, link events, and facilitate targeted remediation.
• Fraud Detection and Investigation: Detect, investigate, and report on fraud, theft, and abuse activities in real-time, complementing existing anti-fraud tools by indexing event data.
• SIEM: Leverage for enterprise SIEM use cases such as incident review, management support, analytics, threat intelligence, and ad hoc search, facilitating a full range of information security operations.
• Rapid Incident Investigations: Enable rapid incident investigation across the organization by facilitating collaboration among SOC analysts and hunters via ad hoc searches and historical data analysis.
• Compliance Reporting: Create correlation rules and reports to identify threats to sensitive data or key employees, automatically demonstrating compliance or identifying areas of non-compliance.
• Log Management: Consolidate, collect, store, index, search, correlate, visualize, analyze, and report on security-relevant machine-generated data, supporting ad hoc queries and reporting across historical data.
• Incident Review and Classification: View single events or related system events with an incident management workflow, verify incidents, change status and criticality, and transfer among team members.
• Customizable Dashboards: Develop role-based security portals to organize and correlate multiple data sources visually in a single interface for enhanced context and insight.
• Asset Investigator: Correlate events over time for any IP address to gain insight into time relationships across events.
• Unified Search Editor: Employ a user-friendly search creation experience, including guided searches for correlation searches and identity and asset investigation visualizations.
• Statistical Analysis: Utilize pre-built dashboards to identify anomalies in event and protocol data using auto-configuring thresholds and baselines.
• User Behavior Analytics: Detect threats through UBA alerts, which serve as starting points for investigation, ad hoc searching, and detailed incident review and breach analysis.