The AI model, trained on months of vibration data, has somehow learned to ignore the exact frequency signatures that indicate ...

Autonomous SOC agents now shipping can rewrite firewall rules and modify IAM policies — outpacing the governance frameworks designed to contain them.

On November 2, 1988, graduate student Robert Morris released a self-replicating program into the early Internet. Within 24 hours, the Morris worm had infected roughly 10 percent of all connected ...

The rise of agentic AI is the most significant shift in enterprise technology in a generation, but it requires a new level of ...

Cyber security is under intense scrutiny these days, especially as more adversarial AI-based attacks such as Scattered Spider can use a variety of living-off-the-land methods to spread and speed their ...

Cybersecurity used to be a much simpler game. Companies built strong firewalls, set up antivirus systems and hoped their networks wouldn’t be breached. That model worked for a while, but today, ...

Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...

Cisco's AI Security and Safety Framework includes a unified taxonomy that aims to classify a range of AI safety threats, such as content safety failures, agentic risks, and supply chain threats. Cisco ...

IFAP generates adversarial perturbations using model gradients and then shapes them in the discrete cosine transform (DCT) domain. Unlike existing frequency-aware methods that apply a fixed frequency ...