AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

IoT penetration testing is a security assessment of the complete IoT ecosystem, from backend systems and cloud services to mobile devices and hardware. It involves a multi-stage simulated attack on ...

Threat actors are exploiting the Metro4Shell React Native vulnerability to deploy malware on Linux and Windows systems.

A global AI safety assessment noted that traditional evaluation methods struggled to keep pace with rapid advances in general ...

At the Pwn2Own Automotive 2026 hacker competition, security researchers focused on stress-testing charging stations and ...

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...

"Being named Best in KLAS is especially meaningful because it is driven by the voices of our clients," said Clearwater ...

Malwarebytes urged companies to adopt continuous monitoring and lock down identity systems as AI models get better at ...

Funding led by Tensor Ventures and including Begin Capital and Adara Ventures will accelerate AppFactor’s AI platform that discovers, regenerates, and ...

The code injection flaws allow for unauthenticated remote code execution on Ivanti Endpoint Manager Mobile deployments, but ...

On 3 February 2026, the Ministry of Industry and Information Technology (MIIT), the sectoral regulator of the automotive sector, and the ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.