New research from Lookout identifies key pain points impacting the cybersecurity readiness of financial services firms, and recommends new approaches.
Cybersecurity
A proactive approach to SaaS security — starting with asset management — can protect against data misuse and other potential vulnerabilities.
In a survey covering hundreds of IT and cybersecurity leaders, Lookout pinpoints areas of complexity and cybersecurity challenges facing financial services firms.
Fortinet’s “Cyber Threat Predictions for 2023” report examines the rise of ransomware, the mainstreaming of edge attacks, and the weaponization of AI.
With its EU Sovereign Cloud, Oracle aims to address common risks associated with data residency, privacy, and management.
Gen AI raises privacy, confidentiality, and security concerns. The C-suite needs a plan for addressing these issues, and edge computing can play a vital role.
The Cybercrime Atlas is a collaborative effort involving businesses, law enforcement agencies, and researchers to combat cybercrime and strengthen global defenses against cyber threats.
Trend Micro predicts that cloud security will be absorbed into overall security operations, following a familiar trend with past innovations.
Secrets sprawl is a pervasive problem in software security. Acceleration Economy analyst Rob Wood explains how to use automation to prevent exposed secrets in your applications.
Snyk provides developer-focused security for companies across every sector, enabling ongoing security improvements including reduced risk exposure.
The cybersecurity innovator Snyk caters to developers, ensuring that their code is secure as it’s written, and that their open-source software is monitored continuously.
Get a preview of “Selling to the New Executive Buying Committee,” an Acceleration Economy Course on top obstacles and concerns when moving to modern Cloud ERP from the CXO perspective.
Snyk shifts security left with its Deep Code AI Fix, a proprietary AI engine that automates security fixes for developers, enabling risk reduction and addressing vulnerabilities in cybersecurity.
This guidebook examines zero trust through the lens of business leaders and serves as a decision-making tool for creating a framework and implementing zero trust.
Machine learning is impacting endpoint security in areas such as enhanced threat detection, false positivity reduction, and the ability to implement proactive security measures.
Deepfakes challenge the traditional cybersecurity paradigms. Rob Wood explains how in this Generative AI Digital Summit moment.
It’s essential that everyone in the workforce understand how to keep their mobile phones, laptops, and other endpoint devices secure, writes Chris Hughes.
Cyber attacks pose financial and reputational risks, which necessitate investment in strong endpoint security defenses.
From a security perspective, AI can be used against itself within the realm of behavioral analytics and malware detection.
Robust encryption, access controls, and user education help CISOs mitigate the risks of theft, insider threats, and cyber attacks against their organizations.