The Zero Trust model of information security has become a fixture in both the strategies of enterprise security teams and the roadmaps of security solution developers and for good reason. Perimeter-focused security architectures that default to high trust levels on the internal network continue to fail disastrously...
How can banks leverage artificial intelligence and machine learning to drive innovation while ensuring that the project is secure and would not make the data vulnerable? How important is it to take a structured approach in implementing "security by design" for conducting proper risk assessments of the organizations...
Elizabeth Denham, the U.K.'s chief privacy watchdog, is urging police to go slow when it comes to using live facial recognition. She also calls on the government to create a statutory code of practice for police use of the technology.
In the new world of ubiquitous connected devices and myriad cybersecurity alerts, artificial intelligence and machine learning can enable autonomous response - a boon to overworked security teams, says Darktrace's Mariana Pereira.
According to PwC's 22nd Annual Global CEO Survey, 85% of CEOs agree that Artificial Intelligence will significantly change the way they do business in the next five years.
The enterprise has embraced the public cloud. But tension and misalignment between CloudOps and business stakeholders impedes your organization from achieving all that it can.
Moreover, customers expect speed, scale and business agility from the cloud. CloudOps require continuous governance of security,
compliance...
Organizations are accepting that the network perimeter no longer serves as the "ultimate defense" and thus adapting zero-trust principles, including least privilege, based on the understanding that they may already have been compromised, says Darran Rolls of SailPoint.
Robotic process automation aims to use machine learning to create bots that automate high-volume, repeatable tasks. But as organizations tap RPA, they must ensure they take steps to maintain data security, says Deloitte's Ashish Sharma.
Criminals are weaponizing artificial intelligence and machine learning for cyberattacks. David Masson of Darktrace describes how to fight back at "machine speed."
The Cyber Exposure Score is an objective rating of cyber risk derived through data science-based measurement. The score is automatically generated daily through machine-learning algorithms that combine vulnerability data with other risk indicators such as threat intelligence and asset criticality. The Cyber Exposure...
Join us as we first examine the current state of bot automation and the different attack modalities currently conducted through machine automation. We will dive into attacker tools, their infrastructure, and compromised credentials to demonstrate how they were used against a major retailer in a real-world attack. This...
Artificial intelligence technologies that provide surveillance capabilities can have upsides as well as downsides. Unfortunately, as developers and governments rush to experiment, security, privacy, data protection and liability questions remain unanswered.
Governments are rapidly adopting AI surveillance technology to advance political goals, according to a new report from the Carnegie Endowment for International Peace. While Chinese suppliers dominate, liberal democracies and authoritarian regimes alike are developing and procuring such technology.
Both AI and cybersecurity are broad and poorly understood fields.This book helps give you an overview of the various technologies that make up AI, where they have come from, and what AI has evolved into today.
Our website uses cookies. Cookies enable us to provide the best experience possible and help us understand how visitors use our website. By browsing careersinfosecurity.co.uk, you agree to our use of cookies.
