{{ domain.value }}
About nist.gov (Regulatory)
This page provides details about nist.gov (Regulatory) which was ranked #29 out of 145 in the list of sources (5 citations (1% share)) in answers from AI models (Anthropic Claude Sonnet (latest),
OpenAI ChatGPT Latest) when they were asked the following 1 question: "What does the Cybersecurity industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry." on Dec 30, 2025 by AI Chat Watch.
Used by AI Models
| Model | Voice | Position | Citations |
|---|---|---|---|
|
|
{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
Pages from nist.gov (4 links)
| URL Path | Citations | Position |
|---|---|---|
| nist.gov | 0 | N/A |
| /itl/ai-risk-management-framework | 2 | 12 |
| /publications/zero-trust-architecture | 2 | 63.4 |
| /cyberframework | 1 | 65 |
Citations from AI Responses
Anthropic Claude Sonnet (latest)
(1 citation)
What does the Cybersecurity industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.
[...] - Human risk management ### Key Trends **AI & Machine Learning** - **[Abnormal Security](https://abnormalsecurity.com/)** - AI-based email security - **[Vectra AI](https://www.vectra.ai/)** - AI-driven threat detection - Generative AI security concerns and solutions **Zero Trust Architecture** - [NIST Zero Trust Architecture guidelines](https://www.nist.gov/publications/zero-trust-architecture) - Identity-centric security models - Microsegmentation and least privilege access **Supply Chain Security** - Software Bill of Materials (SBOM) requirements - Third-party risk management - Post-SolarWinds security focus **Cloud-Native Security** - CNAPP (Cloud-Native Application Protection Platf [...]
OpenAI ChatGPT Latest
(4 citations)
What does the Cybersecurity industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.
[...] /) (surveillance/stalkerware awareness) - [Katie Moussouris](https://www.lutasecurity.com/about) at [Luta Security](https://www.lutasecurity.com/) (vulnerability disclosure / bug bounty advocacy) Influential standards and knowledge-base organizations (arguably “thought leaders” institutionally): - [NIST](https://www.nist.gov/) (e.g., [NIST Cybersecurity Framework](https://www.nist.gov/cyberframework), [NIST SP 800-207 Zero Trust Architecture](https://csrc.nist.gov/publications/detail/sp/800-207/final)) - [CISA](https://www.cisa.gov/) - [MITRE](https://www.mitre.org/) (e.g., [MITRE ATT&CK](https://attack.mitre.org/)) - [ [...]
[...] pressure** (SBOM and provenance: [CISA SBOM](https://www.cisa.gov/sbom), [NTIA SBOM](https://www.ntia.gov/sbom), build integrity via [SLSA](https://slsa.dev/) and [OpenSSF](https://openssf.org/)). - **AI/LLM-driven change** on both attack and defense: governance and threat modeling frameworks like [NIST AI RMF](https://www.nist.gov/itl/ai-risk-management-framework) and threat knowledge bases like [MITRE ATLAS](https://atlas.mitre.org/). --- ## Dominant market leaders & brands (by major segment) These are “frequently-shortlisted” leaders you’ll see repeatedly in enterprise buying cycles (also reflected in common comparison/review venues like [Gartner Peer I [...]
[...] provenance + secure builds) Core references: [CISA SBOM](https://www.cisa.gov/sbom), [NTIA SBOM](https://www.ntia.gov/sbom), [SLSA](https://slsa.dev/), [OpenSSF](https://openssf.org/) 5. **AI/LLM security** (prompt injection, data leakage, model governance) Guidance and threat mappings: [NIST AI RMF](https://www.nist.gov/itl/ai-risk-management-framework), [MITRE ATLAS](https://atlas.mitre.org/), and [OWASP Top 10 for LLM Applications](https://owasp.org/www-project-top-10-for-large-language-model-applications/) 6. **Exposure management + exploit-based prioritization** (KEV/EPSS-driven patch focus) Key lists/signals: [CISA KEV Catalog](https:/ [...]
[...] s) - [Katie Moussouris](https://www.lutasecurity.com/about) at [Luta Security](https://www.lutasecurity.com/) (vulnerability disclosure / bug bounty advocacy) Influential standards and knowledge-base organizations (arguably “thought leaders” institutionally): - [NIST](https://www.nist.gov/) (e.g., [NIST Cybersecurity Framework](https://www.nist.gov/cyberframework), [NIST SP 800-207 Zero Trust Architecture](https://csrc.nist.gov/publications/detail/sp/800-207/final)) - [CISA](https://www.cisa.gov/) - [MITRE](https://www.mitre.org/) (e.g., [MITRE ATT&CK](https://attack.mitre.org/)) - [OWASP](https://owasp.org/) (including [OWASP Top 10 for LLM Applications](h [...]