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New generation of cyber attacks with AI: experts warn that the deadline is months

Lucas Montarroios
Lucas Montarroios

Executives at Palo Alto Networks warn that states and localities only have months to prepare against mass cyber attacks driven by new AI tools....

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The next wave of cyber attacks will be faster, more autonomous and harder to contain. Executives of Palo Alto Networks warn that state and municipal governments have only months to prepare against threats driven by a new generation of extremely powerful artificial intelligence tools. Recent tests with models such as Anthropic and OpenAI show that these AIs are already able to identify vulnerabilities in systems with alarming accuracy.

Cyber attacks with AI: how tools are used

The new generational AI tools allow attackers to automate complex steps of a cyber attack, such as network scan, software failure identification, and even custom malicious code creation. Unlike traditional attacks, which require deep technical knowledge and time, these AIs can operate on a scale, testing thousands of attack vectors simultaneously.

AI testing shows vulnerabilities in cyber attacks

Controlled tests conducted by security researchers have shown that AI models such as Claude (from Anthropic) and GPT-4 (from OpenAI) can, with specific training, identify zero-day vulnerabilities in critical systems – that is, failures still unknown by developers. In one of the experiments, the AI found a loophole in a public data management system in less than two hours, which would take days for a specialized human team. Anthropic, including, recently it raised US$30 billion and reached a value of US$380 billion, which demonstrates the level of investment and expectation around these technologies – both for defense and attack.

States on cyberattack radar with AI

According to Palo Alto Network executives, state and municipal governments usually have limited cybersecurity budgets and more vulnerable legacy systems. Attacks on public infrastructure – such as water networks, hospitals and transport systems – can cause widespread chaos. The agility of the new AI makes these targets even more attractive, as they allow a single attacker, even with little experience, to launch large-scale campaigns.

How to defend yourself from AI-driven cyber attacks

The main recommendation is to act before the attacks become common. Experts suggest:

  • Updating critical systems and reducing technical debt.
  • ** Adopt AI-based defense tools that can counter-attack in real time.
  • Train teams to recognize signs of automated attacks.
  • Create rapid response plans with attack simulations using AI.
  • The original source of the alert can be checked in GovTech. The scenario is urgent: while security companies run to adapt, criminals are already ahead.

    Frequently asked questions about cyber attacks with AI

    What types of AI attacks are expected?

    Faster and more autonomous attacks are expected, such as large-scale vulnerability scans, hyperpersonalized phishing and malware that adapt to the target environment in real time.

    How can governments prepare financially for this threat?

    Governments should allocate emergency funds to update IT infrastructure, hire offensive/defensive security teams with AI and acquire machine-learning-based protection platforms.

    Are cyber security companies already developing defenses against these AIs?

    Yes, companies like Palo Alto Networks, CrowdStrike and Microsoft are running to integrate defensive AI into their products, but the race is against time: the attack tools evolve as fast as the defense tools.
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    Lucas Montarroios

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    Lucas Montarroios

    Sou Lucas Montarroios e dediquei os últimos 15 anos à linha de frente de operações de telecom e data centers. Minha carreira sempre foi pautada por um foco implacável: transformar tecnologia e cenários críticos em oportunidades reais de negócio. No novidades.ia.br, trago essa visão executiva para o universo da IA. Especialista em produtos, mercado e ferramentas práticas de IA. Minha missão aqui é filtrar o ruído do mercado, analisando benchmarks, estratégias de grandes empresas e ferramentas práticas.

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