President Donald Trump's White House AI Task Force has issued a significant recommendation for federal regulatory agencies: to temporarily ease enforcement and limit liability for companies that experience cyberattacks and report them in good faith. The proposal suggests a safe harbor of at least 12 months, arguing that the rise of AI-powered threats has rendered previous cybersecurity standards potentially outdated. The goal is to encourage more transparent and timely information sharing from the private sector without the fear of immediate punitive regulatory action. This move signals a potential shift in U.S. cybersecurity policy, prioritizing collaborative defense over strict liability in the face of a rapidly evolving threat landscape.
Following its second meeting on November 12, 2026, the task force, which includes National Cyber Director Sean Cairncross and Commerce Secretary Howard Lutnick, released a statement outlining its position. The core recommendation is for federal agencies to "implement limitations on regulatory liability for good-faith voluntary reporting of cybersecurity vulnerabilities and incidents."
Key components of the proposal include:
The proposal would affect all U.S. companies that fall under the jurisdiction of federal regulatory bodies, such as the SEC, FTC, and others that have the authority to penalize firms for inadequate cybersecurity. It is particularly relevant for companies in critical infrastructure sectors that are increasingly targeted by sophisticated, AI-driven attacks.
If adopted, this policy would not change existing compliance requirements but would alter the consequences of non-compliance in the event of a breach. The primary obligation for companies seeking this liability relief would be to provide timely, voluntary, and good-faith reporting of cybersecurity incidents to the appropriate government bodies, such as CISA. The task force also urged that upcoming incident-reporting rules from CISA be clear and avoid creating duplicative, burdensome requirements for businesses.
The proposed liability relief would last for at least 12 months, with a potential for extension after the task force and agencies evaluate the cyber risk environment at that time. There is no set timeline for when federal agencies might adopt this recommendation, as it is up to each individual agency to decide how to implement it.
The primary goal of this proposal is to reduce the "chilling effect on reporting and information sharing." Many companies hesitate to report breaches for fear of regulatory fines, lawsuits, and reputational damage. By offering a temporary shield, the government hopes to receive more threat intelligence from the private sector, enabling a more effective national defense against widespread cyber campaigns. For businesses, this could lower the immediate financial and legal risks following a breach, provided they cooperate with authorities. However, critics may argue that it could also reduce the incentive for companies to invest adequately in proactive cybersecurity measures.
This policy is designed to limit penalties, not create new ones. Under the proposal, a federal agency would be encouraged to forgo or reduce fines and other enforcement actions against a breached company that meets the criteria for good-faith reporting. The relief would be subject to considerations of public interest, safety, and legality.
While this is not yet formal policy, organizations should prepare for a potential shift in the regulatory landscape:
The White House AI Task Force holds its second meeting and issues its recommendation on liability relief.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
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