Tech companies boost security amid rising threats against AI developers and infrastructure

Tech companies are ramping up security spending to counter rising physical threats and AI-powered cyberattacks, including data poisoning and adversarial machine learning, as opposition to artificial intelligence intensifies. The crypto sector has become a primary target, with AI-driven fraud losses estimated at $17 billion, prompting firms like Microsoft, Fortinet, and Cisco to lead in AI-native security platforms.

Tech companies boost security amid rising threats against AI developers and infrastructure From physical threats to AI-powered cyberattacks, the tech industry is pouring resources into protecting both people and platforms as opposition to artificial intelligence intensifies. The AI industry has a security problem, and it’s not just digital. Rising opposition to artificial intelligence, ranging from physical threats against people and property to increasingly sophisticated cyberattacks, is forcing tech companies to rethink how they protect everything from their data centers to their employees. Roughly 73% of global organizations have already integrated AI into their cybersecurity defenses. Nearly all of them plan to keep investing in AI-driven security solutions through 2025. The core problem is what security researchers have started calling an “AI vs. AI arms race.” Adversarial machine learning techniques, where attackers use AI to probe and exploit other AI systems, are becoming standard practice. Data poisoning, where malicious actors corrupt the training data that AI systems rely on, has emerged as a particularly insidious vector. State-sponsored actors have entered the chat too. North Korean operatives have reportedly used large language models from OpenAI, Google, and Anthropic for malicious activities, including targeting crypto projects. The crypto sector is ground zero for AI-enabled fraud The digital asset sector has become a primary target for AI-driven fraud, with losses reaching an estimated $17 billion in 2026 according to one analysis. AI-generated deepfakes can now impersonate executives on video calls. Sophisticated phishing campaigns, written by large language models, can craft perfectly personalized messages that bypass traditional email filters. Crypto platforms are responding by deploying their own AI-powered countermeasures to detect and block these threats in real time. Companies using advanced AI security tools save an average of $1.9 million compared to those that don’t. A June 2026 directive from the Cybersecurity and Infrastructure Security Agency, known as CISA, directed US agencies to strengthen their defenses against hacking threats enabled by AI technologies. What this means for the market Major firms like Microsoft, Fortinet, and Cisco are positioning themselves as leaders in AI-native security platforms. For crypto investors specifically, any project or platform that handles significant value and hasn’t invested heavily in AI-powered security is carrying risk that isn’t priced in. The $17 billion in AI-driven fraud losses across digital assets means that security has become a competitive moat, not just a cost center. The dual-use nature of AI means that every defensive advance can potentially be repurposed for offense. The same large language models that power customer service chatbots can be fine-tuned to craft social engineering attacks. The same computer vision systems that detect deepfakes can be used to generate them. Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy https://cryptobriefing.com/editorial-policy/ .