The upcoming SEC rules delve into cybersecurity transparency, incident reporting, and risk management procedures.
Trend Micro’s market share is more than twice the size of its closest competitor in the cloud workload security sector, according to IDC report.
Process mining has several potential cybersecurity applications including incident investigation, anomaly detection, and detecting insider threats.
As cybersecurity teams face escalating demands and the need for faster responses, generative AI tcan help by scanning and summarizing vast amounts of data.
An Endor Labs study sheds light on ways to use ChatGPT in defensive cybersecurity. The company tapped AI to detect malware.
Discover why closing the loop by fixing code is essential to effectively combat the security risk of hard-coded secrets.
Chainguard’s container image registry powered by Cloudflare R2 aims to mitigate the escalating cost of downloading container images.
A proactive approach to SaaS security — starting with asset management — can protect against data misuse and other potential vulnerabilities.
The Cybercrime Atlas is a collaborative effort involving businesses, law enforcement agencies, and researchers to combat cybercrime and strengthen global defenses against cyber threats.
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.
Employment identity theft is a growing concern for individuals and businesses. Learn how to protect yourself and your organization from becoming a victim.
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.
Snyk and GitGuardian, two prominent security tools providers, collaborate to tackle cloud-native security challenges and bolster cybersecurity measures.
Cyber attacks pose financial and reputational risks, which necessitate investment in strong endpoint security defenses.
Machine learning is nothing new in cybersecurity, but in recent years, it’s gotten significantly better, says Rob Wood.
Rob Wood explains why cybersecurity ML models need clean and ample data, proper input ranges, and robust data platforms, such as the security data lake.
Your competitors are already doing it, so you do not want to put your head in the sand, says Rob Wood.
The integration of machine learning and AI capabilities in cybersecurity offer opportunities for improved specificity, consistency, and scalability.
The human factor plays a critical role in endpoint security, and to minimize the risks of insider threats and human error, organizations should focus on educating employees and fostering a culture of security.
Endpoint security tools like Palo Alto Networks’ Cortex protect organizations from cyber threats and are especially necessary in the era of remote work.