Machine Learning

What are deepfakes? How and why they work

Once the bailiwick of Hollywood special effects studios with multi-million-dollar budgets, now anyone can download deepfake software and use machine learning to make believable fake videos. This makes a lot of people nervous.

Data security in financial services: Meeting the challenges head on

Recent research suggests that Financial Services firms have experienced a threefold increase in the rate of breaches, over the past five years. Financial Services companies face almost three times more cyber attacks than any other industry.

How UK antifraud startup Ravelin courts enterprise customers

A four-year-old London startup that builds anti-fraud software using machine learning is rapidly scaling up from selling to fellow startups into the enterprise space. Computerworld UK sat down with one of the founders of Ravelin to discuss its technology and how it sells into that fundamentally different market.

Archaic practices, skills shortage biggest gaps in security today: Rajnish Gupta, RSA

Rajnish Gupta, Regional Director, India & SAARC at RSA explains why identifying critical assets and assigning a risk score is imperative to new age cybersecurity.

Top six security and risk management trends: Gartner

Analysts will explore the trends security leaders face during the Gartner Security & Risk Management Summit, September 10-11, 2018, London, U.K.

Sophisticated attacks go undetected with traditional security solutions: CrowdStrike

Speaking at IDG Security Day & CSO 100 Awards 2018, Ramanand Kambli and Satbir Singh from CrowdStrike highlighted how attacks are getting sophisticated, and how enterprises can address all security challenges with their cloud-based offering. 

Amit Vijay Ghodekar

Amit Vijay Ghodekar led the implementation of deception technology along with unified security at Motilal Oswal Financial Services. Under the new security strategy, intelligence generated from Anti-APT Solution and server security solution were integrated with products like ant-virus, anti-malware, and MDM along with deception technology.

Rajesh Shetty

At Aditya Birla Sun Life Insurance, Rajesh Shetty set up a deep security virtual patching for servers and an ENS, active response and threat intelligence, for advanced protection of its servers and end points.

Debojit Maitra

Debojit Maitra introduced all level protection Aditya Birla Fashion and Retail. He has implemented various security measures such as datacenter protection, servers and application protection, implemented Machine Learning and Deep Learning in perimeter and gateway level network, adequate measures in web & email security, BYOD device and end point protection and detection that would protect their digital systems from malicious Intruders of all sorts.
 

Fortinet introduces ML capabilities to its FortiWeb web application firewall

The new innovations to FortiWeb provide a dramatic increase in detecting web application threats with nearly 100 percent accuracy.

Does cyber insurance make us more (or less) secure?

Underwriting cyber risk remains more art than science, but in the absence of regulation, cyber insurance might still be the best hope for improving cybersecurity practices across the board — at least for now.

AMP appoints data scientist to cyber team to meet ‘audacious’ target

Last year, AMP’s cyber team took a “fairly audacious target” to the board: bring down the number of cyber security vulnerabilities across the company by ten to 15 per cent every month.