Mobile apps hide most risk behind login screens. AI-driven testing now pierces that blind spot, exposing real threats before ...

In an era where software evolves at lightning speed, security must adapt in real-time to counter threats that emerge in minutes. The modern software economy thrives on speed. With development teams ...

Dam Secure has closed a $4M seed round led by Paladin Capital to address security risks from AI-generated code entering ...

Security researchers have discovered a new Android malware that masquerades as a security solution. Here's what you need to ...

Microsoft is bringing tighter security to Windows 11, including smartphone-style app permissions.

From AI-driven security design reviews to workflow analysis, dependency graphing, and runtime detection and response, these startups bake security into every stage of the application life cycle. The ...

Qualys, Inc. today announced TotalAppSec, its new AI-powered application risk management solution to enable organizations to monitor and mitigate cyber risk from critical web applications and APIs.

Authentication/authorization, data integrity and storage protection; these three pillars correspond to the current major challenges in application security and are ...

This standard outlines the practices necessary for secure application development and administration at the University at Buffalo, ensuring the protection of its information technology resources.

We have more sensitive data on our phones today than ever before. Our smartphones often hold sensitive information that should not be shared, including work papers, photos, and financial information.

SPI Dynamics – These days, the biggest threat to an organization’s network security comes from its public Web site and the Web-based applications found there. Unlike internal-only network services ...