nuovo regolamento europeo privacy gdpr

TIPOLOGIA

Seminario (registrazione obbligatoria)

OBIETTIVI

I nuovi modelli di sviluppo (Industria 4.0, PA Digitale, Sanità Digitale) e le nuove tecnologie (Big Data, IoT, Cloud e altro ancora) possono avere successo solo se chi ne può beneficiare (i cittadini, gli enti, le imprese) e’ confidente nel poterli utilizzare in sicurezza e nel rispetto della riservatezza. A fronte delle crescenti minacce e violazioni ai dati e alle informazioni -comprese quelle riguardanti la sfera privata delle persone- com’e’ possibile accrescere la fiducia degli utenti?

Il seminario si propone di illustrare come affrontare le minacce ai dati personali ed aziendali anche alla luce del Regolamento Europeo per la Protezione dei Dati entrato in vigore a Maggio 2016. Si affronteranno le misure tecniche ed organizzative e le figure professionali necessarie (es. il Privacy Officer) che consentiranno di ridurre i rischi operativi e legali per le aziende e gli enti.

Le sanzioni possono arrivare fino a € 20.000.000 o al 4% del fatturato annuo.

DESTINATARI

Il seminario è rivolto a tutti coloro che in azienda hanno una responsabilità sul trattamento dei dati e sulla sicurezza nella loro gestione. IT manager, CSO, responsabili del personale, e molte altre figure aziendali dovranno confrontarsi con la nuova normativa e con le nuove minacce che quotidianamente emergono.

PROGRAMMA

OrarioDescrizioneRelatori
09:00Introduzione e benvenutoVenuti
09:05Nuovi scenari tecnologici (Cloud, IOT)Raimondi
Venuti
09:20Nuove minacce (Cybercrime, tipologie di attacco)Traversa
Venuti
09:40Nuove minacce alla protezione dei dati (Privacy)Raimondi
10:00Coffee Break
10:10Regolamento Europeo pilastri e novitàRaimondi
11:10Strumenti per la protezioneTraversa
Venuti
11:30Servizi e certificazioniRomani
11:45Domande e risposte

DOCENTI

Ing. Venuti Piergiorgio, Ing. Raimondi Paolo; Ing. Traversa Paolo, Ing. Romani Giorgio.

DURATA

3 ore

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syslog server

syslog server – High performance service for collecting logs

    • Use all the strengths of the syslog-ng Premium Edition
    • Find logs, secure sensitive data with granular access policies and generate reports
    • Forward logs to third-party tools

 

SYSLOG SERVER – CLOUD LOG MANAGEMENT SERVICE TO MANAGE YOUR LOGS

Log Management service allows you to keep logs (applications, system, audit logs, query databases, etc) in the Secure Online Desktop Cloud secure from any tampering with respect to data retention rules.

COLLECT AND INDEX LOG DATA IN CLOUD

Log Management service uses the syslog-ng Premium Edition as log collection agents which provide highly scalable and reliable log collection. Installers are available for 50+ platforms, including the most popular Linux distributions, commercial versions of UNIX and Windows.
The indexing engine is optimized for performance. Depending on its exact configuration, one syslog-ng Store Box can collect and index up to 100,000 messages per second for sustained periods. A single Log Management instance can collect log messages from more than 5,000 log sources. When deployed in a client-relay configuration, a single Log Collector can collect logs from tens of thousands of log sources

SEARCH, TROUBLESHOOT, AND REPORT

With full-text search, you can search through billions of logs in seconds via the intuitive web-based user interface. Wildcards and Boolean operators allow you to perform complex searches and drill down on the results. Users can gain a quick overview and pinpoint problems. Users can easily create customized reports from the charts and statistics they create on the search interface to demonstrate compliance with standards and regulations such as PCI-DSS, ISO 27001, SOX and HIPAA.

HIGHLY SCALABLE INDEXING ENGINE

The Log Management service is optimized for performance, and can handle enormous amounts of messages. Depending on its exact configuration, it can index over 100,000 messages per second for sustained periods and process over 70 GB of raw logs per hour.

syslog server – REAL-TIME LOG DATA TRANSFORMATION

Filter, Parse, Re-Write

The syslog-ng application can sort the incoming log messages based on their content and various parameters like the source host, application, and priority. Directories, files, and database tables can be created dynamically using macros. Complex filtering using regular expressions and boolean operators offers almost unlimited flexibility to forward only the important log messages to the selected destinations

Parse key-value pairs

Log Aggregator can separate a message consisting of whitespace or comma-separated key-value pairs (for example firewall logs) into name-value pairs.

Parse sudo log messages

Privileged user accounts represent the highest security risk, as they allow access to the most sensitive data and resources. The sudo parser enables you to enrich your log message data with details of privilege escalation events.

Normalize data with PatternDB

The syslog-ng application can compare the contents of the log messages to a database of predefined message patterns.

Real-time log message classification

By comparing log messages to known patterns, syslog-ng is able to identify the exact type of the messages, and sort them into message classes. The message classes can be used to classify the type of the event described in the log message. The message classes can be customized, and, for example, can label the messages as user login, application crash, file transfer, etc.

Extracting important information from messages

In addition to classifying messages, you can also add different tags which can be used later for filtering messages, for example, to collect messages tagged as user_login to a separate file or to perform conditional post processing on the tagged messages.

Real-time event correlation

Syslog-ng also makes real-time event correlation possible. This can be useful in many different situations. For example, important data for a single event is often scattered into multiple syslog messages. Also, login and logout events are often logged far away from each other, even in different log files, making log analysis difficult. Using correlation these can be collected into a single new message.

 

syslog server – AUTOMATED BACKUP OF STORED DATA

Stored log messages and the configuration of SSB can be periodically transferred to a remote server using the following protocols
:

– Network File System protocol (NFS);
– Rsync over SSH;
– Server Message Block protocol (SMB/CIFS).

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