ia et cyber security mythe ou réalité? - swisscom · exemple d'intelligence artificielle...

IA et Cyber Securitymythe ou réalité?

Swisscom DialogueExperience 2019

Duilio Hochstrasser : Moderation

Tarek Amiri: Security Officer, Swisscom Group Security

Alessandro Trivilini, Head of SUPSI Digital Forensics Lab

SUPSI: Scuola universitaria professionale della Svizzera italiana

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Paysage des menaces en Suisse

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La menace est réelleSwisscom, chaque mois

20Incident de sécurité critiques Swisscom CSIRT

2'500Compte login compromis

3'000Campagnes des Phishing bloquées

2'100'000Tentatives d'attaques

Structure du radar

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Radar des menaces2019

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3D-Printing

Workplace Diversity

Insider ThreatDevice Theft

Drones & Robots Infrastructure Masconfiguration

Decentralised Development

SCADA

IoT DevicesSecurity job marketIoT-Based DDos

Digitalisation

SubscriberCompromisation

AI/Analytics

Political Influence

DigitalIdentity

Destabilising / Centralisation

Automatisation & Scaling

All IPIncreased Complexity

QuantumComputing

Ransomware

Targeted Attacks (APT)

5G SecurityInfrastructureIntegrity

TendenceAujourd'hui

• 4 anneaux: actualité de la menace

• 7 segments, domaines

• Source des informations

- Attaques et incidents

- Analyse du marché

• Tendances & Vitesse

IA et Cyber defence / attaques

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Main pillars

Cyber security: from the garden to the forest … of data

Cultural change

Interdisciplinarity cyber education

Definition of common testing hubs

Continuous education

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• Cyber security as a new business economy

• Incident response approach as agile cultural behavior

From tracking to recognition approach

• Machine learning

• Behavior pattern recognition

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Threat Detection & Response

Everything is changed from regulatory perspectives

• 25 May 2018 GDPR (General Data Protection, EU)

• 26 June 2018 NIS (Network and Information

Security, EU)

• 23 November 2018 Guidelines 3/2018 on the

territorial scope of the GDPR (Article 3)

"Predictive technologies"

• companies

• law enforcement agencies

"Existing approaches"

• not suitable for complex threats

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AI & Big Data for cyber threats predictionSw

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Fiction or reality?

Machine learning Prevention Prediction

BIG DATA hybrid scenario

Connectivity

and mobility

AI

Virtualization

and IoT

Artificial

intelligence

Quantum

computing

Augmented

humans

2003 2015 2020 2030

Deeplearning

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AI and Big Data applied by strikers

The strength and the effectiveness of

(non) responses

• Precision and methodology

• Preparation

• Discipline

• Skillsstrikers

Big Data + AI

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Example: one e-mail of spear phishing

Profiling target

• Continuous feedback

− Positive (get money from ransom)

− Negative (do not answer)

− Indifference

Attacker

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AI and Big Data (not) applied by defenders

Weakness, lack of data sharing and

inefficiency of strategies

• Little or no investments

• Obsolete training

• Security as a tool and not as a process (by design)

• Poor partnerships and data sharing

Example: one e-mail of spear phishing suffered

Profiling target

• Omerta and closing

• Scare of reputation

• Silence

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Big Data + AI

Defender

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Creation of a cyber range public private partnership

New common cyber education courses

By participating to a research international

By providing real cases for educational projects and bachelor/master thesis

How?

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Exemple d'intelligence artificielle dans la cyber sécurité

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Exemple Security Analytics & Machine Learning Une "intelligence" sur mesure pour la Suisse

Scenario

Page WEB Phishing

Attaquant Mail Phishing User

https://login.sso.bluew!n.ch/...

Phishing Inspectorwith machine learning

Prevention & Detection pour ce sénario

Security Analytics& Detection

Security response

Threat intelligence security community

Identify

Detect

Protect

Respond

Recover

Web Proxy

Mail System

Mail Security

Use Case

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User

Focus Suisse avec Machine Learning

• 70 éléments

• 2 heures

• > 97% pages détectés

• 85–95% inconnus

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Detection de Phishing : Chaque minute compte

Swisscom Abuse

Mailbox

Swisscom DNS

Network Proxy

Phisherman

BluewinHoneypots

Swisscom Mail Services

Other Phishing Inspector

www.antiphishing.ch

(MELANI)

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2018 2019

Intelligence Artificielle & Targeted attacksEstimation et approches de la défense

Download comingin March

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https://www.swisscom.ch/fr/business/enterprise/downloads/security.html

https://bit.ly/2DWnUHp

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Questions?

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