Full Report
In a significant bipartisan effort, key U.S. lawmakers today introduced the "No Adversarial AI Act," legislation designed to erect a critical firewall between U.S. federal agencies and artificial intelligence technologies developed by foreign adversaries. The bill, spearheaded by Raja Krishnamoorthi (D-IL), ranking member of the House Select Committee on the Strategic Competition Between the United States and the Chinese Communist Party, and committee Chairman John Moolenaar (R-MI), aims to mitigate national security risks posed by AI systems potentially controlled by hostile foreign powers, notably the People's Republic of China (PRC). The legislation has garnered bicameral support, with Representatives Ritchie Torres (D-NY) and Darin LaHood (R-IL) cosponsoring the House bill, and Senators Rick Scott (R-FL) and Gary Peters (D-MI) introducing the companion measure in the Senate. AI as a National Security Vulnerability At the heart of the "No Adversarial AI Act" is the recognition that AI, while transformative, can also be a potent tool for espionage and subversion when controlled by malicious actors. Lawmakers specifically cited concerns about companies like DeepSeek, which has alleged ties to the Chinese Communist Party and its intelligence apparatus, and whose privacy policy explicitly states that U.S. user data is stored in China. A prior investigation by Ranking Member Krishnamoorthi and Chairman Moolenaar into DeepSeek's operations recommended a federal procurement prohibition on PRC-origin AI models, particularly for use on government devices. The "No Adversarial AI Act" directly addresses this recommendation. Also read: Taiwan’s DeepSeek Ban Reflects Global Concerns Over AI Security Key Provisions of the Bill to Build the Digital Wall The "No Adversarial AI Act" outlines a multi-pronged approach to safeguarding federal systems that includes: Establishing a Federal List of Adversarial AI: The bill mandates that the Federal Acquisition Security Council (FASC) develop a list of AI produced or developed by a foreign adversary within 60 days of the Act's enactment. This list will then be published publicly by the Director of the Office of Management and Budget (OMB) within 180 days, and updated at least every 180 days thereafter. Prohibiting Federal Use of Listed AI: Once an AI is on this list, U.S. government agencies will be barred from acquiring or using it. This prohibition extends to entities with documented ties to the Chinese Communist Party like DeepSeek. Limited Exceptions with Strict Oversight: While the general rule is prohibition, the bill allows for narrow exceptions. An executive agency head may approve an exception if the AI is deemed necessary for scientifically valid research, evaluation, training, testing, analysis, counterterrorism or counterintelligence activities, or to avoid jeopardizing mission-critical functions. However, any such exception requires written notice to the Director of OMB and appropriate Congressional committees. Regular Updates and Removal Process: The FASC is required to update the adversarial AI list at least every 180 days. A process is also outlined for removing AI from the list if the owner certifies it's not produced or developed by a foreign adversary, and the FASC reviews and certifies this claim. Empowering Agency Enforcement: The legislation directs executive agencies to leverage existing authorities to consider for exclusion and removal artificial intelligence provided by a covered foreign adversary entity on the list. What Constitutes 'Foreign Adversary AI'? The bill defines "artificial intelligence" broadly, consistent with existing U.S. law. Crucially, it also provides a clear definition of "foreign adversary" and "foreign adversary entity". A "foreign adversary entity" includes: A foreign adversary. A foreign person domiciled in, headquartered in, having its principal place of business in, or organized under the laws of a foreign adversary country. An entity where a foreign person or combination of foreign persons described above directly or indirectly owns at least a 20 percent stake. A person subject to the direction or control of any of the aforementioned. "Foreign adversary" is defined by reference to existing U.S. code, typically including countries like China, Russia, Iran, and North Korea. A New Cold War in the Digital Sphere Lawmakers urged approval of the measure. Ranking Member Krishnamoorthi stated, "Artificial intelligence controlled by foreign adversaries poses a direct threat to our national security, our data, and our government operations." He stressed the necessity of a "clear firewall" to protect U.S. institutions and citizens from hostile regimes embedding their code in sensitive systems. Chairman Moolenaar echoed those sentiments, declaring, "We are in a new Cold War—and AI is the strategic technology at the center." He criticized the Chinese Communist Party's approach to AI, alleging that it "steals, scales, and subverts," and emphasized the need to prevent U.S. government systems from being powered by tools designed to serve authoritarian interests. Senators Scott and Peters also highlighted the risks to national security and American data. Senator Scott warned against federal agencies using "dangerous platforms" that could subject the government to Beijing's control, citing clear evidence of China's potential access to U.S. user data on AI systems. Senator Peters said the legislation's role in safeguarding U.S. government systems from AI that could compromise national security or put personal data at risk, while still allowing for legitimate scientific research and innovation. The "No Adversarial AI Act" represents a significant step in the U.S. effort to secure its digital infrastructure from emerging geopolitical threats, recognizing AI as a critical frontier in national security.
Analysis Summary
# Regulation/Compliance: No Adversarial AI Act (Proposed)
## Overview
This proposed legislation aims to fortify U.S. federal systems against threats posed by Artificial Intelligence (AI) controlled by foreign adversaries. The core objective is to establish clear legal firewalls to prevent hostile regimes from embedding their technology or influencing U.S. government operations and data security through AI systems.
## Key Details
- Issuing Authority: U.S. Lawmakers (Congress)
- Effective Date: Not yet established (Legislation Pending)
- Jurisdiction: United States Federal Government Systems and contractors handling sensitive federal data.
- Status: Proposed
## Requirements
### Mandatory Requirements
1. **Prohibition on Adversarial AI Usage:** Federal agencies must be prevented from using AI systems controlled by entities originating from explicitly named adversarial nations (e.g., China, Russia, Iran, North Korea) or those otherwise identified as direct foreign adversaries.
2. **Data Protection Mandate:** The legislation seeks to safeguard U.S. national security data and sensitive personal data residing within government systems from potential access or compromise facilitated by adversarial AI platforms.
3. **System Firewall Implementation:** Establish a "clear firewall" to insulate U.S. institutions from hostile regimes embedding their code or having operational influence in sensitive U.S. government systems.
### Recommended Practices
1. **Scientific and Research Exceptions:** The law must allow for legitimate scientific research and innovation objectives, implying a need for clearly defined exceptions or waivers for non-operational AI uses.
2. **Risk Assessment Clarity:** Develop specific internal guidance to differentiate between permissible AI tools and those deemed "dangerous platforms" subject to prohibitions.
## Affected Organizations
- Industries: Primarily U.S. Federal Government Agencies and any associated technology providers or contractors whose AI systems interact with federal data or infrastructure.
- Organization Size: Not specified, but compliance impact scales with the integration of AI into federal operations.
- Geographic Scope: United States Federal operations.
## Compliance Timeline
- **Introduction:** Legislation has been formally introduced.
- **Passage/Enactment:** Timeline dependent on Congressional approval and Presidential signing.
- **Final deadline:** Compliance requirements will be mandated upon the final rule-making or enactment date, often followed by a phased implementation period typical of major federal mandates.
## Implementation Guidance
### Assessment Phase
- **Inventory AI Assets:** Federal agencies must conduct a thorough inventory of all AI/ML tools currently used in sensitive systems.
- **Attribution Analysis:** Determine the origin and ultimate control structure (ownership, development base) for all identified AI software components to check against the list of adversarial nations/entities.
### Implementation Phase
- **Remediation Plan:** Develop a phased plan to decommission or replace AI systems identified as being sourced from or controlled by adversarial foreign entities.
- **Control Application:** Implement stricter access controls and monitoring on any necessary AI systems to ensure foreign adversaries cannot gain operational access or exfiltrate U.S. data.
### Validation Phase
- **Auditing:** Subject AI procurement and deployment processes to rigorous auditing to ensure adherence to the "no adversarial AI" standard.
- **Certification:** Potentially require specific security certifications or attestations for AI providers operating within the federal sphere.
## Technical Requirements
Specific technical details are likely to emerge in associated NIST standards or agency-specific directives, but the core requirement is the **removal or isolation of AI systems whose design or control structure serves authoritarian interests or foreign adversaries.**
## Penalties & Enforcement
- Fines: Not specified in the summary, but typically involve budgetary repercussions or mandatory corrective actions for federal non-compliance.
- Other Consequences: Potential loss of funding, adverse management reviews, and severe national security repercussions for agencies failing to secure systems against known adversarial risks.
- Enforcement: Likely enforced through existing federal cybersecurity oversight bodies (e.g., CISA, OMB, agency Inspectors General).
## Related Standards
- **NIST AI Risk Management Framework (AI RMF):** While the Act sets the mandate, NIST guidance will likely be crucial for operationalizing the risk identification, assessment, and mitigation of adversarial threats within AI models.
- **FISMA/RMF:** Compliance will likely be integrated into the existing Federal Information Security Modernization Act (FISMA) and Risk Management Framework (RMF) reporting structures for federal information systems.
## Resources
- Official Documentation: Link to the specific legislative filing (e.g., H.R. XXXX or S. XXXX) would be required once publicly available.
- Guidance Documents: Future OMB memoranda and CISA advisories translating the act into executable policy.
- Tools: Supply Chain Risk Management (SCRM) tools capable of mapping software component provenance would be highly relevant.
## Practical Recommendations
1. **Proactive Vetting:** Immediately suspend procurement or expansion of AI solutions from vendors with known ties to specified adversarial nations pending final legislation details.
2. **Supply Chain Tracing:** Enhance Software Bill of Materials (SBOM) requirements for all AI technologies to trace the geographic origin of code and development teams.
3. **Internal Alignment:** Establish an inter-agency/departmental working group to interpret the geopolitical definitions used in the Act and align them with current threat intelligence profiles.