{"id":6641,"date":"2026-05-11T16:51:48","date_gmt":"2026-05-11T20:51:48","guid":{"rendered":"https:\/\/solutionsreview.com\/endpoint-security\/?p=6641"},"modified":"2026-05-11T16:52:13","modified_gmt":"2026-05-11T20:52:13","slug":"ai-is-now-both-the-weapon-and-the-shield-in-cybersecurity","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/endpoint-security\/ai-is-now-both-the-weapon-and-the-shield-in-cybersecurity\/","title":{"rendered":"AI Is Now Both the Weapon and the Shield in Cybersecurity"},"content":{"rendered":"

\"AI<\/p>\n

Drawing on insights from a Solutions Review Solution Spotlight with Radware, the Solutions Review editorial team explores how AI has become both a shield and a weapon in cybersecurity.<\/strong><\/em><\/p>\n

The cybersecurity industry has spent decades building walls, and AI just handed attackers a bulldozer. That’s not hyperbole\u2014it’s an operational reality that security practitioners are navigating right now. The same technology that’s making enterprise software smarter, faster, and more productive is simultaneously lowering the barrier to sophisticated cyber-attacks to near zero. Tools that once required darknet connections, criminal networks, and serious technical expertise are now available on GitHub, priced like Netflix subscriptions, and capable of generating hundreds of thousands of attack requests per second from nothing more than a mobile phone.<\/p>\n

This shift was the focus of a recent Solutions Review Solution Spotlight<\/a> featuring Michael Morgenstern<\/a>, Partner at DayBlink Consulting, and Eva Abergel<\/a>, a Senior Solution Expert at Radware. What emerged was a candid, technically specific discussion of where AI-powered attacks stand today\u2014and what defenders actually need to do about them.<\/p>\n

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AI-Powered Cyberattacks: What’s Actually Happening and How to Defend Against It<\/strong><\/h3>\n

The uncomfortable truth surfacing across enterprise security conversations is this: The vast majority of organizations acknowledge AI is essential to their security posture, but only about a quarter have any meaningful governance or responsible AI management in place. That gap between recognition and action is exactly the space attackers are exploiting right now.<\/p>\n

How AI Has Already Changed the Attack Toolkit<\/strong><\/h4>\n

Not long ago, launching a sophisticated cyber-attack required specialized knowledge, underground connections, and purpose-built infrastructure. That era is over. The tools that research teams at companies like Radware<\/a><\/strong> are finding\u2014and that their clients are actively being hit with\u2014are publicly available, commercially packaged, and terrifyingly capable.<\/p>\n

One example of this shift is an attack framework discovered on GitHub that combines 56 attack methods into a single script. It runs simultaneous multi-vector attacks to complicate mitigation, and it includes pre-built bypasses for common defenses. When a security provider updates their protection, the script gets updated too. It’s a living, iterative offensive platform\u2014and it doesn’t require a data center to run. The same tool activates a network of remote servers, enabling attackers to generate hundreds of thousands of requests per second from a single mobile device. This was already in circulation more than a year ago. What exists today is almost certainly more capable.<\/p>\n

Why AI-Powered DDoS Attacks Are Getting Harder to Stop<\/strong><\/h4>\n

DDoS<\/a> isn’t a new threat, but dismissing it as an old problem is a mistake. The scale is accelerating at a pace the industry hasn’t seen before. The current record stands at 7.3 terabytes per second\u2014and Eva expects records to be broken multiple times within a single year rather than every few years. AI agents are beginning to enter the picture, capable of coordinating attack infrastructure autonomously, adapting to defensive responses in real-time, and making already massive volumetric attacks significantly more efficient.<\/p>\n