TUESDAY, 25 AUGUST 2026

CYBER-TECH | DDoS goes stealth mode

DDoS attacks are no longer blunt instruments. They are evolving into precision tools”quiet, adaptive, and increasingly difficult to detect. As Eva Abergel, Senior Product Marketing Manager at Radware, notes in cybersecurity predictions for 2026, DDoS is no longer “noise.” It is getting sharper, smarter, and more strategic.

For years, defenders relied on a simple assumption: large-scale attacks would announce themselves through volume. Massive traffic spikes were the giveaway. That assumption no longer holds. Today’s attackers are using artificial intelligence to build autonomous botnets capable of learning in real time. These systems continuously adjust their behavior, probing defenses, identifying thresholds, and refining tactics to remain below detection limits.

The most concerning shift is toward Layer 7 attacks”those that target the application layer rather than network bandwidth. Instead of overwhelming infrastructure, attackers now mimic legitimate user behavior: slow API calls, incomplete sessions, or subtle request floods that appear normal in isolation. The goal is not to knock systems offline instantly, but to degrade performance just enough to cause disruption without raising alarms.

In this new landscape, attack size matters less than attack visibility. A DDoS campaign that quietly slows checkout pages, login services, or customer portals during peak business hours can inflict more damage than a high-volume outage. Lost transactions, abandoned carts, and degraded user experience translate directly into financial loss and reputational harm.

As a result, DDoS can no longer be treated as a purely technical issue. It must be understood as a business risk. When an application layer grinds down in the middle of a sales cycle, the impact is felt far beyond the security operations center.

The next era of defense will demand deeper behavioral analysis, adaptive mitigation, and closer alignment between security teams and business leadership. The real threat ahead is not how loud DDoS attacks become”but how invisible they are when they strike.

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CYBER-TECH | Second opinions: Doctors VS algorithms; who decides?

As large language models move into medicine, disagreements between doctors and algorithms expose a deeper problem of accountability

Krishna Shah
Published Feb 12, 2026, 12:56 AM IST
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A clinician reviews an AI-generated recommendation that contradicts her own assessment. She can give a chain-of-thought reasoning of her assessment, but the tool… Can it? Developments of such are coming about, but not yet entirely.Large language models (LLMs) are moving steadily into medicine, genomics, and drug discovery, not as replacements for clinicians but as advisers whose confidence often exceeds their explainability, beyond statistical confidence.Their capabilities…

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