AI Cyber Listings

The AI Cyber Authority listings directory indexes professionals, firms, and organizations operating at the intersection of artificial intelligence and cybersecurity across the United States. Each listing entry represents a discrete service provider, vendor, or practitioner whose work touches AI-driven threat detection, adversarial machine learning defense, automated security operations, or AI governance compliance. The directory serves researchers, procurement officers, security team leads, and policy professionals navigating a sector where credential standards and regulatory expectations are still being formalized by bodies including NIST and the Cybersecurity and Infrastructure Security Agency (CISA).

How to use listings alongside other resources

Listings function as a structured index — not a vetting mechanism or endorsement registry. Each entry should be read alongside the contextual framing available on the AI Cyber Directory Purpose and Scope page, which describes the classification logic, inclusion criteria, and sector boundaries that govern what qualifies for listing on this platform.

For researchers cross-referencing AI cybersecurity vendors against federal procurement frameworks, the listings are most useful when paired with primary sources such as the NIST Cybersecurity Framework (CSF) 2.0 and CISA's Known Exploited Vulnerabilities (KEV) Catalog. Practitioners evaluating listed firms for compliance-adjacent work should also consult the relevant provisions of NIST SP 800-218, the Secure Software Development Framework, which sets baseline expectations for AI-integrated software supply chains.

Guidance on interpreting specific listing fields, understanding how to read listed credentials, and navigating service category distinctions is available on the How to Use This AI Cyber Resource page.

How listings are organized

Listings are segmented by primary service category, reflecting the functional distinctions that structure the AI cybersecurity sector. The 4 principal classification buckets used across this directory are:

1. AI-Native Security Vendors — firms whose core product architecture is built on machine learning or large language model (LLM) components, including autonomous threat detection platforms, AI-driven security information and event management (SIEM) tools, and generative AI red-teaming services.
2. Cybersecurity Firms with AI Integration — established security operators (managed detection and response providers, penetration testing firms, incident response consultancies) that have incorporated AI tooling into pre-existing service stacks but whose primary operational identity predates AI-native design.
3. AI Governance and Compliance Specialists — advisors, auditors, and legal-technical consultants focusing on regulatory alignment for AI systems, including obligations under frameworks such as the NIST AI Risk Management Framework (AI RMF 1.0) and the EU AI Act's high-risk system requirements as they apply to US-based multinational operators.
4. Academic and Research Institutions — university labs, federally funded research centers, and nonprofit research organizations whose published output directly informs AI cybersecurity policy, tooling, or threat intelligence.

The distinction between Category 1 and Category 2 is operationally significant: AI-native vendors carry different procurement risk profiles and face distinct evaluation criteria under federal zero-trust architecture mandates issued through Office of Management and Budget (OMB) Memorandum M-22-09.

What each listing covers

Each directory entry is structured around a consistent set of data fields to enable direct comparison across providers. A standard listing includes:

• Entity name and legal structure (LLC, corporation, nonprofit, government contractor)
• Primary service category (drawn from the 4-category taxonomy above)
• Geographic service footprint (headquarters state plus declared national, regional, or remote service reach)
• Core competency descriptors (up to 5 defined specializations, drawn from controlled vocabulary aligned to NICE Workforce Framework categories published by NIST SP 800-181r1)
• Relevant certifications or framework alignments (e.g., FedRAMP authorization status, SOC 2 Type II attestation, ISO/IEC 27001 certification)
• Federal contractor status where applicable (including CMMC 2.0 compliance level for defense industrial base participants, per 32 CFR Part 170)

Listings do not include client testimonials, performance ratings, or comparative rankings. The directory operates as a neutral reference index. Verified credential fields are distinguished from self-reported fields within each entry.

Geographic distribution

The AI Cyber Authority listings directory carries national scope across all 50 states and the District of Columbia. Provider concentration reflects the underlying distribution of the US AI cybersecurity industry: the highest listing density falls in Virginia (driven by the federal contractor ecosystem surrounding the National Capital Region), California (concentrated in the San Francisco Bay Area and greater Los Angeles corridor), and Texas (Austin and Dallas–Fort Worth metropolitan clusters).

Listings from smaller states and rural-based remote providers are included under the same classification standards as those from major metropolitan markets. A provider operating exclusively in Wyoming is evaluated against identical criteria as one headquartered in Northern Virginia — geographic location does not affect listing classification.

Federal sector–focused listings are cross-referenced against agency jurisdiction where declared, including providers whose stated client base includes the Department of Defense (DoD), the Department of Homeland Security (DHS), or the 16 critical infrastructure sectors defined by Presidential Policy Directive 21 (PPD-21).

The full index of active listings is accessible from the AI Cyber Listings main page, where filters by state, service category, and certification type are available to narrow results for specific procurement or research needs.