Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI

alienvault

Why does preparing for AI attacks need to be your next big agenda?

This blog has been written by an independent guest blogger. Since its advent, the debate over its ethical and unethical use of AI has been ongoing. From movies to discussions and research, the likely adversarial impact AI has had over the world has been a constant cause of concern for every privacy and security-conscious person out there.

Machine Learning, AI & Cyber Security Part 2: Malicious Actors

- Machine Learning, AI & Cyber Security Part 2: Malicious Actors Welcome to a new episode of the Razorwire Podcast! Welcome to part two of our episode on Machine Learning, AI and Cyber Security. In part one, we discussed what it will be like for us as security professionals when we have access to AI tools, what we are doing with them now and how we could use them in future. In part two, we are re-joined by our guests Oliver Rochford of Securonix and Jonathan Care, a mentor of mine who specialises in cyber security and fraud detection.
egnyte

Teach Egnyte's AI to Recognize Your Documents for Better Security

Egnyte has been developing and using AI technology with Machine Learning (ML) for quite some time. We use it internally to detect sensitive information for our customers so that policies can be put in place to protect that information, and we continue to find new ways to implement these models to better support our customers.

Sponsored Post
cloudfabrix

Data Value Gap - Data Observability and Data Fabric - Missing Piece of AI/AIOps

A pivotal inhibitor to mitigate these challenges is the Data Value Gap. Data automation and Data Fabric are emerging as key technologies to overcome these challenges. Learn from industry experts about these key technologies and how they create a lasting impact in enterprise IT.

netskope

Enhancing Security with AI/ML

Digital transformation has driven the rapid adoption of cloud-delivered services like SaaS/IaaS/PaaS in enterprises. This, in turn, has resulted in the migration of digital assets (aka data) from the confines of enterprise data centers to the cloud data centers that are not under the control of the enterprises. Additionally, the onset of the COVID-19 pandemic has resulted in remote work becoming the norm.

tripwire

Convergence and adoption of AI and ML countering the cyber threat

During the last few years, we have witnessed an increase in advanced cyber attacks. Cybercriminals utilize advanced technology to breach the digital boundary and exploit enterprises’ security vulnerabilities. No industry feels secure; security professionals do their utmost to close security gaps and strengthen their cyber defense.

netskope

The Importance of a Machine Learning-Based Source Code Classifier

This is the fifth in a series of articles focused on AI/ML. Source code is a critical part of an organization’s intellectual property and digital assets. As more and more centralized source code repositories are moving to the cloud, it is imperative for organizations to use the right security tools to safeguard their source code.

calligo

How intelligent are AI tea-making robots?

When it comes to how truly intelligent Artificial Intelligence (AI) is, it’s a polarizing debate. Either AI will solve the world’s woes or robots will rule us all – Matrix-style. But it’s all a little more complicated than Hollywood makes it seem… For a deep dive, do listen to our Beyond the Data podcast hosted by Sophie Chase-Borthwick (Calligo’s Global Data & Governance Lead) and Tessa Jones (VP of Data Science Research & Development).