An overview of SIEM components and capabilities:
Alerting-Identifies urgent issues by analyzing
events and sending alerts
Threat Hunting- Allows security staff to search logs
and events for threats proactively Forensic analysis- Provides insight into security
incidents by exploring log and event data
Data Aggregation- Gathers and aggregates data from security systems and network devices
Threat Intelligence- Integrates internal data with third-party data on threats and vulnerabilities
Dashboards-Presents visualizations that help staff
identify patterns and anomalies in event data
Incident response-It helps security teams identify, and respond to security incidents, bringing in all relevant data rapidly to respond on time.
Retention- Data and metrics are recorded for a long time, which is quite useful for forensic investigations and compliance in the future.
SOC automation- SIEMS with advanced capabilities can respond to security incidents by orchestrating multiple security systems (SOAR)
Analytics- A range of statistical models and machine learning algorithms are used to identify relationships between data elements within metrics.
Alerting-Identifies urgent issues by analyzing
events and sending alerts
Threat Hunting- Allows security staff to search logs
and events for threats proactively Forensic analysis- Provides insight into security
incidents by exploring log and event data
Data Aggregation- Gathers and aggregates data from security systems and network devices
Threat Intelligence- Integrates internal data with third-party data on threats and vulnerabilities
Dashboards-Presents visualizations that help staff
identify patterns and anomalies in event data
Incident response-It helps security teams identify, and respond to security incidents, bringing in all relevant data rapidly to respond on time.
Retention- Data and metrics are recorded for a long time, which is quite useful for forensic investigations and compliance in the future.
SOC automation- SIEMS with advanced capabilities can respond to security incidents by orchestrating multiple security systems (SOAR)
Analytics- A range of statistical models and machine learning algorithms are used to identify relationships between data elements within metrics.
2357346552690.pdf
3 MB
گزارش صنعت نسل ۴ برای توسعه فراگیرجهان در آغاز یک انقلاب جدید فناوری مبتنی بر فناوریهای صنعتی نسل 4.0 مانند هوش مصنوعی، روباتیک و اینترنت اشیا است. در این راستا ستاد اقتصاد دیجیتال و هوشمندسازی این گزارش را به زبان فارسی در اختیار علاقمندان قرار میدهد.
Forwarded from SecCode (Meisam Monsef)
WSTG.pdf
17.3 MB
دانلود کتاب فارسی WSTG
استاندارد جامعی که اغلب در فرآیند تست نفوذ وب مورد استفاده قرار می گیرد، استاندارد WSTG یا Web Security Testing Guide است.
نویسنده : مهندس نیک آور
@SecCode
استاندارد جامعی که اغلب در فرآیند تست نفوذ وب مورد استفاده قرار می گیرد، استاندارد WSTG یا Web Security Testing Guide است.
نویسنده : مهندس نیک آور
@SecCode
How Android's Private Compute Core works
Android's Private Compute Core essentially keeps sensitive data for features like Live Translate, Now Playing, and Smart Reply confidential from other subsystems. To do so, Google utilizes techniques like Interprocess Communications (IPC) binds and isolated processes. These techniques are included in the Android Open Source Project and can be controlled by publicly available surfaces like Android framework APIs.
Android's Private Compute Core essentially keeps sensitive data for features like Live Translate, Now Playing, and Smart Reply confidential from other subsystems. To do so, Google utilizes techniques like Interprocess Communications (IPC) binds and isolated processes. These techniques are included in the Android Open Source Project and can be controlled by publicly available surfaces like Android framework APIs.