Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How AI Face Swap Technology Works and What It Means for Cybersecurity in 2026

In February 2024, an employee at a multinational firm in Hong Kong transferred the equivalent of $25 million after attending a video conference call in which every other participant was a deepfake. The CFO was not real. The colleagues were not real. The entire meeting was constructed from AI-generated video and audio. This is no longer a theoretical threat category. It is an active attack surface, and it is scaling rapidly.

Mitigating Attacks Before They Impact Infrastructure: Link11 provides next generation network DDoS protection

Link11, a leading European provider of cloud-based cybersecurity solutions, today announced the launch of its completely rebuilt Layer 3/4 DDoS mitigation solution, designed to address the growing complexity of modern network attacks. Today's DDoS attacks are not just simple volume or protocol attacks anymore. They can originate from compromised devices within trusted and legitimate networks, mimic real traffic, and appear in short, high-intensity bursts that leave little time for manual response.

Why Low-And-Slow Attacks Look Normal

Low and slow attacks look normal because they are intentionally distributed into small, permissible actions that avoid detection thresholds. Each step appears legitimate on its own, which prevents detection systems from recognizing the overall progression. The issue is not that security teams lack telemetry. The issue is that traditional detection often evaluates activity in fragments. When each action stays below a rule or threshold, the broader pattern can remain invisible.

Autonomous AI Accelerates Cyberattacks and Shrinks Response Time

The biggest challenge in cybersecurity is no longer just detecting threats. It's doing so before time runs out. Artificial intelligence is no longer confined to automating isolated tasks within an attack. It is enabling threats to operate as continuous systems that can adapt, coordinate, and evolve in real time, drastically reducing the time security teams have to react. This shift is doing more than simply increasing the volume of offensive activity.

Proof Over Prediction: What Happens When You Actually Watch Who's Attacking AI Infrastructure

Customer telemetry shows how AI agents behave in a limited set of production environments and what risks they carry. Vulnerability research surfaces how those environments can be attacked. Both sources are valuable, but neither shows actual attacker behavior or how quickly they operationalize a new vulnerability once it's public.

Phone Bombing Attacks 2026: A Complete Guide

If your phone has not stopped buzzing for twenty minutes, you may be facing a synchronized disruption tactic called a “bombing” attack. In the 2026 cybersecurity landscape, flooding an endpoint with many requests is not just a nuisance. A weaponized operational strategy. Whether an SMS bomber script targets a person or bot networks drive up a business’s API bills, the exploit works the same way.

From CitrixBleed 2 to Cloudflared: The Tools and Techniques Behind Anubis Ransomware Attacks

Throughout 2026, Arctic Wolf has investigated multiple Anubis ransomware intrusions. Although threat actor tradecraft differs between intrusions, key themes have emerged: abuse of VPN infrastructure, blending in with legitimate activity through the use of Remote Monitoring and Management (RMM) solutions, and using other legitimate binaries on victim devices.

How Retailers Can Build a Security Strategy for AI Shopping Assistants

AI shopping assistants have moved well past novelty. Deloitte reports that 63% of global retailers now agree that companies without AI agents will fall behind within two years. These systems already handle product discovery, purchase recommendations, loyalty redemptions, autonomous checkout sequences, and more.