The question at hand
Japan has announced an emergency cybersecurity package worth 10 billion yen ($63 million) after a wave of data breaches hit major companies and government agencies. Two key elements stand out. The government will use AI to counter hackers and find weaknesses in network systems. It will also expand its ability to access servers used by attackers, a preemptive measure called "active cyber defense," which was legalized in October.
The AI aspect is straightforward. The active defense part is more complex. So here's the real question for your team: should national-scale offensive-adjacent defense, backed by AI and public-private collaboration, shape how you build your own program? Or does it belong to a category of capability that enterprises should watch but not imitate?
The case for leaning in
Supporters argue that passive defense has a structural cost problem. Attackers choose the time, target, and technique. Defenders must be vigilant across every system, every day. Anything that raises the attacker's cost, like disrupting infrastructure before it's used against you, changes that dynamic.
Japan's approach treats response as a shared obligation. The package includes a "cyber rescue team" from public and private sectors, providing initial response to affected companies, along with a team that helps vulnerable companies strengthen defenses. For a mid-sized organization, this is a significant addition. It addresses the gap that often turns an incident into a crisis: the first hours when you're unsure of the situation and your internal team is stretched.
AI is another critical component. The Prime Minister emphasized rapid response as essential in the era of AI-generated attacks. If attackers are automating reconnaissance and phishing, defenders relying only on manual triage will fall behind. The "top gun" team, which METI plans to establish by the end of November, will use AI to detect weaknesses and collaborate with technology companies and AI developers in friendly nations. Proponents see this as a model: use AI where speed matters most, like detection and vulnerability discovery, and keep humans on decision-making.
Information sharing is also crucial. When public and private sectors exchange indicators and lessons quickly, one company's breach becomes another's early warning. Your NIST CSF Core Functions (Identify, Protect, Detect, Respond, Recover) all improve when external intelligence feeds them.
The case for caution
Skeptics start with scope. Active cyber defense, as described in Japan's package, involves government access to servers used by hackers. This is a state power exercised under a legal framework. It's not something your enterprise can or should replicate. Practitioners worry that watching a national program might lower the guardrails on "hack back" thinking inside private organizations, which carries serious legal risks in most jurisdictions.
There are also concerns about attribution and collateral damage. Attacker infrastructure is often compromised third-party infrastructure. Accessing it can disrupt an innocent victim, and mistakes in attribution can escalate. Legalizing the practice domestically doesn't settle how other countries will view it, leaving the effect on international norms an open question.
On AI, skeptics focus on operations. A tool that finds weaknesses is only useful if you can fix what it finds. Many CISOs already face a backlog of known, unremediated vulnerabilities. Adding an AI-driven discovery layer without remediation capacity just lengthens the list. False positives, model drift, and opaque reasoning also create audit issues when explaining detection decisions to a regulator or insurer.
Public-private partnerships have their own challenges. Sharing incident data with the government raises questions about confidentiality and Breach Notification Requirement overlap. If your Breach Coach advises limiting disclosures while a rescue team asks for full access, reconcile that before an incident, not during it.
Where practitioners actually land
Most experienced security leaders break the package into parts and evaluate each separately.
Public-private response support: broadly welcomed. Few practitioners object to having outside responders available. The key is contractual clarity. Know in advance who has access to what, who owns the forensic findings, and how that engagement interacts with your insurer. Many policies have an Insurer Consent Requirement governing which responders you can engage and when. An unplanned volunteer team, however well-intentioned, can create coverage issues. Confirm how outside assistance fits with your Stand-Alone Cyber Policy's panel provider terms and your First Notice of Loss obligations.
AI for detection and vulnerability discovery: adopt selectively. AI is valuable where volume overwhelms people, such as alert triage, log correlation, and attack surface scanning. It shouldn't make autonomous decisions on containment actions that could interrupt operations. Keep a human approval step for anything affecting production.
Active defense: a national tool, not an enterprise one. Most practitioners see this as something to monitor rather than emulate. The useful takeaway is the underlying logic. Instead of waiting passively, invest in actions that raise attacker cost within your own boundaries: deception technology, aggressive credential hygiene, rapid takedown requests through legal channels, and threat intelligence that informs blocking.
Our take
Japan's package is a serious response, and the strongest parts are the least dramatic. The cyber rescue team and support for vulnerable companies address the real failure point in most incidents: organizations facing their worst day without help. If you take one idea from this package, take that one. Build your external response relationships and contract terms now, and make sure your insurer knows about them.
On AI, adopt it where it reduces time to detect and triage, and nowhere you can't explain the decision afterward. Document how it's used. Underwriters increasingly ask about security tooling in the Underwriting Questionnaire, and an Application Fraud Warranty means overstating your AI-enabled capabilities carries real consequences.
On active cyber defense, be cautious. It's a legitimate state function, and legalizing it through a defined framework is better than ambiguity. But it's not a model for private organizations, and the international effects are still unknown. Treat it as context for your threat landscape rather than a template for your program.
The tradeoff is honest: a more aggressive national posture may deter some attackers and provoke others. Your job is to build resilience that holds up either way, and that comes from tested recovery, clear response authority, and well-understood coverage, not from a headline capability.
