Artificial Intelligence & Machine Learning for Cybersecurity

  •  TYPE: Track    START DATE:  Tuesday, October 08, 2019     START TIME: 11:00  
Parent Track

Moderator(s):

More and more companies and government agencies are becoming victims of cyber attacks. Hackers and rogue actors target private data of ordinary citizens, trying to compromise government agencies and demanding ransom for the stolen data.
Currently Artificial Intelligence and Machine Learning tools are being offered as a solution to various security problems, be it detecting new malware or threat hunting. This session will be dedicated to recent advances in AI for Cybersecurity.

Sessions:

AI in Cybersecurity: Between Hype and Reality

Date: Tuesday, October 08, 2019 Time: 11:00-12:00

AI in Cybersecurity: Between Hype and Reality
Alexei Balaganski, KuppingerCole

Artificial Intelligence is surely one of the hottest topics in nearly every industry nowadays, and not without reason. Some of its practical applications have already become an integral part of our daily lives – both at home and in offices; others, like driverless cars, are expected to arrive within a few years. With AIs beating humans not just in chess, but even in public debating, surely, they’ve already matured enough to replace security analysts as well? In this session,...

Evaluating Our Defenses with a Data Science Approach
Brennan Lodge, Goldman Sachs

SOC analysts are under siege to keep pace with the ever-changing threat landscape. The analysts are overworked, burnout and bombarded with the sheer number of alerts that they must carefully investigate. This intense workload can be a true testament against anyone’s patience. We need to empower our SOC analysts to overcome this monotonous work that is leading to career burnout. Our industry is struggling to keep up and is alternatively promoting silver bullets and panaceas to catch...

tbd

Date: Tuesday, October 08, 2019 Time: 12:00-13:00

tbd
Cory Missimore, Baker Tilly

Security Operation Centers (SOC) s are continuously monitoring an ever-increasing scope of assets, both those incorporated by a company and independent devices, stemming from the ever-amorphous “Internet of Things” that are brought into a workplace environment. This creates a massive amount of alerts or “noise”, most of which are benign, but still requires a security analyst to review and confirm its banality, drawing a security analyst’s time, and attention...

Panel - Artificial Intelligence in Cybersecurity: Recent Advances
Alexei Balaganski, KuppingerCole • Brennan Lodge, Goldman Sachs • Al Lewis, Doctoral Candidate & Independent Researcher

Numerous malware variants are being created daily. To adjust to this evolution, machine learning tools are being utilized by security companies to detect the novel threats and new attack vectors. Same for the threat hunting, where the ML helps in p roactively and iteratively parsing through networks detecting the advance threats. Important question is where we want to apply these advanced techniques. The technology should be applied in a smart way to tackle specific problems. In this...

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Washington, D.C. - USA

Conference

CyberNext Summit 2019

Language:
English
Registration fee:
€1000.00
€700.00 till 15.09.2019
$1250.00
$875.00 till 15.09.2019
S$1600.00
S$1120.00 till 15.09.2019
11000.00 kr
7700.00 kr till 15.09.2019
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Contact person:

Mr. Levent Kara
+49 211 23707710
lk@kuppingercole.com
  • Oct 08 - 10, 2019 Washington, D.C. - USA
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