<p>As Anthropic’s Mythos model makes clear, AI is a cybersecurity game changer. When released in preview, Mythos proved unexpectedly effective in finding and exploiting bugs in software. Anthropic said the preview release found more than 10,000 critical vulnerabilities across every OS and application it encountered. In addition to exposing the bugs, Mythos was able to execute an attack chain around each one, including the full attack lifecycle: reconnaissance, exploit and lateral movement.</p>
<p>Mythos isn’t alone. Other AIs have been shown to operate autonomously to generate attacks. The <a href=”https://www.techtarget.com/searchsecurity/news/366645613/First-fully-agentic-ransomware-attack-sparks-readiness-concerns”>Jadepuffer</a> attack discovered in early July 2026, for example, executed a complete ransomware and extortion operation driven end-to-end by an LLM — no human required.</p>
<section class=”section main-article-chapter” data-menu-title=”AI-enabled attacks”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>AI-enabled attacks</h2>
<p>It’s clear that AI poses an unprecedented threat to cybersecurity. But it’s important to note that AI-enabled attacks aren’t a separate category of attack; they’re classical attacks at unprecedented speed, scale and mutability. They include all the standard types of cyberattacks, such as the following:</p>
<ul class=”default-list”>
<li><b>Voice impersonation<a href=”https://www.techtarget.com/searchsecurity/tip/Real-world-AI-voice-cloning-attack-A-red-teaming-case-study”></a>.</b> <a href=”https://www.techtarget.com/searchsecurity/tip/Real-world-AI-voice-cloning-attack-A-red-teaming-case-study”>AI mimics a trusted party’s voice</a>, convincing listeners to make wire transfers or approve other financial transactions.</li>
<li><b>Automated phishing<a href=”https://www.techtarget.com/searchsecurity/tip/Generative-AI-is-making-phishing-attacks-more-dangerous”></a>.</b> <a href=”https://www.techtarget.com/searchsecurity/tip/Generative-AI-is-making-phishing-attacks-more-dangerous”>AI generates highly realistic and personalized phishing emails</a> in seconds, increasing the likelihood that targets will click malicious links.</li>
<li><b>Intelligent vulnerability scanning.<a href=”https://www.techtarget.com/searchsecurity/tip/Top-vulnerability-scanning-tools-for-security-teams”></a></b> AI identifies software vulnerabilities and creates exploits on the fly.</li>
<li><b>Chatbot scams.</b> <a href=”https://www.techtarget.com/searchsecurity/feature/Why-conversational-AI-is-redefining-your-security-perimeter”>AI agents engage victims in casual conversations</a> to extract sensitive personal details, login credentials or other confidential information.</li>
</ul>
<p>Like biological viruses, AI-enabled attacks mutate, and do so at warp speed. This makes response even more difficult, since human defenders respond at human speed. For this reason, AI-enabled attacks have become a priority for CISOs. A recent <a target=”_blank” href=”https://industrialcyber.co/ai/darktrace-2025-report-ai-threats-surge-but-cyber-resilience-grows-amidst-skills-gap/))” rel=”noopener”>survey</a> by Darktrace found that 78% of CISOs now say AI-powered cyberattacks are having a significant impact on their organizations.</p>
<p>These attacks aren’t hypothetical. Real-world incidents such as the following occur regularly:</p>
<ul class=”default-list”>
<li><b>AI-driven phishing.</b> Microsoft threat teams <a href=”https://www.microsoft.com/en-us/security/blog/2026/03/06/ai-as-tradecraft-how-threat-actors-operationalize-ai/” target=”_blank” rel=”noopener”>flagged</a> phishing attacks in which AI crafts phishing lures that more easily evade detection by seeming more human. These attacks include realistic personalization and imitation of human grammar and speech.</li>
<li><b>Deepfake social media scams.</b> Much of social media is now AI-generated, including propaganda intended to inflame passions, spread lies or solicit money.</li>
<li><b>AI-enabled malicious insiders. </b><a href=”https://www.techtarget.com/searchsecurity/feature/How-AI-caught-a-malicious-North-Korean-insider-at-Exabeam”>North Korean operatives use AI to illegally land jobs</a> with U.S. companies, putting enterprise data security at significant risk.</li>
</ul>
</section>
<section class=”section main-article-chapter” data-menu-title=”Behavioral biometrics”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>Behavioral biometrics</h2>
<p&
[…]
Content was cut in order to protect the source.Please visit the source for the rest of the article.
Read the original article: