Japan Unveils Cybersecurity Package to Combat AI-Assisted Attacks

Japan announces a $63 million cybersecurity package featuring an AI-powered vulnerability testing team, stronger threat intelligence, and faster incident response.

Nov 10, 2026
4 minute read
Japanese Prime Minister speaking into a tabletop microphone during a formal meeting, surrounded by attendees reviewing documents and taking notes.

Japanese Prime Minister announcing the nation’s plan against AI attacks on Friday, Nov. 6. Image: Prime Minister’s Office of Japan

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Japan is preparing to hunt cyber threats before they strike, backed by a $63 million emergency security package.

Prime Minister Sanae Takaichi announced the emergency cybersecurity package on Nov. 6, outlining plans to strengthen vulnerability testing, threat intelligence gathering, and incident response as AI changes how cyberattacks are carried out.

A central initiative involves establishing a specialist team that will use AI to identify security weaknesses and simulate attacks. The broader goal is to help Japan move beyond responding to incidents after the damage is done and toward identifying threats earlier.

Hackers are using AI; Japan wants to beat them to it

Hackers are increasingly turning to AI to find vulnerabilities and make cyberattacks easier to execute, and Japan wants to put the technology to work against them.

The Japanese government on Friday announced a ¥10 billion (approximately $63 million) emergency cybersecurity package after a wave of attacks targeted several Japanese businesses.

Prime Minister Takaichi says the country must keep pace with the changing threat, stressing that it must respond quickly and flexibly to the "speed of cyberattacks in the age of AI."

SecurityWeek reports that a central part of the plan is a specialist team, nicknamed Top Gun, which Japan's Ministry of Economy, Trade and Industry will establish by the end of November. The team will use AI to identify weaknesses in network systems and simulate attacks, helping organizations discover security gaps before malicious actors exploit them. 

But the government isn't relying on AI-assisted security testing alone. The package covers four areas:

  • Improving basic security measures, including through AI; 
  • Strengthening intelligence gathering, investigations, and analysis; 
  • Improving how authorities respond to cyberattacks; 
  • Assisting affected organizations while preventing further damage

Takaichi said the government must bring together its "full resources" to improve the country's response capabilities, as unauthorized access and information leaks continue to affect people's daily lives and business activities.

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AI is exposing weaknesses in traditional incident response

Traditional incident response largely focuses on detecting an intrusion, investigating what happened, containing the threat, and restoring affected systems. 

AI, however, is changing the conditions under which these attacks happen, giving malicious actors new ways to identify vulnerabilities, automate reconnaissance, and accelerate parts of their operations. By the time an organization detects an intrusion, attackers may already have made significant progress.

This creates a problem for defenders: responding quickly after an attack begins may no longer be enough. Organizations need to identify exploitable weaknesses before attackers find them, share threat intelligence faster, and use automation to shorten the time between detection and containment. 

Japan's proposed measures reflect that broader approach. Rather than relying on AI-powered vulnerability discovery alone, the government is also prioritizing intelligence gathering, investigations, and support for organizations affected by cyberattacks.

Defenders have some note-taking to do from Japan's approach

Japan's response offers a useful reminder that defending against AI-assisted attacks requires more than adding AI-powered detection tools to existing security systems. Security teams need to rethink how early they identify weaknesses, how quickly they share threat intelligence, and how effectively they coordinate responses when an attack occurs.

There are a few lessons worth taking from its approach:

  • Find weaknesses before attackers do: Microsoft is already doing this, using AI to find a voluminous number of flaws.
  • Don't let threat intelligence sit in silos: AI-assisted attacks can move fast. Therefore, defenders must share indicators of compromise, attack patterns, and vulnerability information with other teams faster to help the broader community.
  • Shorten the response window: Faster detection, automated analysis, and coordinated incident response can limit how much damage attackers cause.
  • Prepare for attacks that get through: Incident response capabilities should include containment, investigation, recovery, and access to external expertise, particularly for organizations without dedicated security teams.
  • Pair AI with humans: Security teams should assess how AI can improve vulnerability discovery, threat analysis, and response without treating it as a replacement for sound security practices.
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Japan's emergency package signals a growing emphasis on preventing cyberattacks rather than relying solely on detecting and containing them after they begin. Whether the initiative delivers meaningful improvements will depend on how effectively the government translates its plans into operational capabilities.

For security teams elsewhere, the takeaway is straightforward: AI-assisted threat detection is only one part of the equation. Finding vulnerabilities early, sharing intelligence quickly, and preparing coordinated responses remain essential as attackers adopt increasingly automated techniques.

In other news: Japan's insurance giant MS&AD is facing a growing data security crisis after multiple breaches pushed its reported exposure past 1 million records, with the latest incidents involving a roadside assistance provider and a business portal.

Joseph Chisom Ofonagoro

Joseph is a Technical Writer with about 3 years of experience in the industry, also advancing a career in cyber threat intelligence. He is passionate about the responsible use of technology, a passion that led him into cybersecurity. As an undergrad, he leads a novel community of technology enthusiasts at his school, NOUN, where he guides and shares resources for beginners in tech. His writing experience includes a diverse range of topics, from consumer tech to startups to tutorials. Additionally, he periodically shares case studies and research reports on cybersecurity on his social media pages.

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