# AAAnow: AI Readiness, outside-in

Last updated: 14 Oct. 2026

> AI Readiness, viewed outside-in, is how AI systems find, read, and represent an organisation from the public information they can access. An organisation's AI readiness is measured by what AI reads across the footprint it has built online over years, much of it forgotten, not by what it believes it presents today. AI Readiness is graded against the AI Readiness maturity scale: a scale showing where an organisation stands on AI readiness, benchmarking the foundations first. AAAnow provides the first stage: continuous discovery and mapping of the digital landscape, delivering an evidenced position within 30 days for around 2 days of the organisation's time.

## Key facts
- 41% of an organisation's digital footprint is unknown to its own digital teams (P&C / Sitemorse risk profiling, 2017 to 2023, covering more than 119 million websites).
- 79% of misinformation or misrepresentation has the organisation's own online position as its root cause (AAAnow Research, Dec. 2023 to Jan. 2026; P&C (human misinformation) 2014 to 2023).
- Brand-owned sites are 5 to 10% of the sources AI search references in many categories (McKinsey).
- 85% of brand mentions in AI search come from third-party content (AirOps, 21,000+ brands).
- 57% of respondents cite AI errors, misinformation and hallucinations as the leading AI threat; 1 in 5 insurance industry respondents had a client experience loss from AI-related risks in the past year (Gallagher, 2026. AI Adoption and Risk Benchmarking).

## The Triad of Exposure
One unmanaged digital estate produces 3 connected consequences: misrepresentation and misinformation in AI answers; weakened future visibility and competitiveness; and a cyber surface outside monitoring and patching.

## The 3 stages of AI Readiness, in order
1. AI Foundations: the structural integrity of what AI can read. Begins with understanding the landscape: the scorecard is established with limited, secure access; colleagues add the sites they know; as an option, AI discovery finds what nobody remembered. An evidenced position within 30 days, then continuous.
2. AI Governance: information kept correct, current, and accountable over time.
3. AI Visibility: surfacing what has been built, once it can be read accurately and stood behind. Visibility applied before the foundations are confirmed accelerates the circulation of misinformation.

## Definitions
- AI Readiness: the outside-in view, how AI reads the organisation from public information.
- AI Readiness maturity scale: the scale AI Readiness is graded against, showing where an organisation stands on AI readiness, benchmarking the foundations first.
- Discovery: the operational capability through which an organisation sees what is visible to AI across its external digital footprint. Continuous, because the footprint is not static.
- AI discovery (option): automated discovery of sites nobody remembered; an option, not part of the subscription.
- Oversight: ongoing monitoring of your sites, within AI Confidence. IN|SITE: on-demand assessment of sites as they are found.

## About AAAnow
Part of the group including Sitemorse and AAAtraq: 25 years of outside-in digital assessment, more than 119 million websites profiled, an evidence base of 3.7 trillion data points.

## Pages
- [Home](https://aaanow.ai/)
- [AI Readiness, the introduction (the position, the Triad of Exposure, the three stages, pricing)](https://aaanow.ai/resources/ai-readiness-landing/)
- [The briefing, an invitation](https://aaanow.ai/briefings/briefing/)
- [The briefing for public entity risk pools](https://aaanow.ai/briefings/pools/)
- [The briefing for digital agencies, what AI sees of your clients](https://aaanow.ai/briefings/digital-agencies/)
- [The Member Briefing, hosted by a membership body, agency or event organiser for up to 36 attendees](https://aaanow.ai/briefings/member-briefing/)
- [The Full-Day, the workshop (full day, £5,900)](https://aaanow.ai/briefings/the-full-day/)
- [About AAAnow](https://aaanow.ai/about/)
- [General Introduction, what you know and what AI sees](https://aaanow.ai/about/aaanow/): the 2 questions AI Readiness answers, told in a 1 minute film, with the benchmarks, the board record and the questions leadership asks
- [The Gallery, the collection welcome desk](https://aaanow.ai/resources/gallery/)
- [Convergence, New York, in the Gallery](https://aaanow.ai/resources/gallery/convergence/)
- [World Aviation Festival, Lisbon, in the Gallery](https://aaanow.ai/resources/gallery/world-aviation-festival/)
- [Search, find what we publish](https://aaanow.ai/resources/search/)
- [Site map, all pages in one list](https://aaanow.ai/resources/sitemap/)
- [Use case: shareholder confusion](https://aaanow.ai/use-cases/shareholder-confusion/)
- [Use case: regulatory inquiry](https://aaanow.ai/use-cases/regulatory-inquiry/)
- [Use case: applicants acted on entry requirements the university had already changed](https://aaanow.ai/use-cases/applicants-entry-requirements/)
- [Use case: investor updates lost](https://aaanow.ai/use-cases/investor-updates-lost/)
- [Use case: legacy document exposure](https://aaanow.ai/use-cases/legacy-document-exposure/)
- [Use case: AI created the claim and then the brand exposure](https://aaanow.ai/use-cases/ai-created-the-claim/)
- [Use case: Customers were shown a brand the company had retired, from guidelines it had replaced](https://aaanow.ai/use-cases/brand-retired-guidelines-replaced/)
- [Use case: The impact of out-of-date safety information: who is liable?](https://aaanow.ai/use-cases/retailer-page-out-of-date-safety/)
- [Use case: Product announcements, published yet missed by AI.](https://aaanow.ai/use-cases/announcement-published-and-missed/)
- [Use case: The correction never reached the customers, because the old copies kept answering](https://aaanow.ai/use-cases/correction-never-reached-customers/)
- [Use case: Candidates were told about benefits no longer offered](https://aaanow.ai/use-cases/candidates-told-benefits-no-longer-offered/)
- [Use case: Drafts uploaded - served as the company’s final word](https://aaanow.ai/use-cases/drafts-served-as-final-word/)
- [Use case: Customers were told a discontinued product was still on sale](https://aaanow.ai/use-cases/discontinued-product-still-on-sale/)
- [Use case: Staff handled chemicals on instructions already replaced](https://aaanow.ai/use-cases/staff-handled-instructions-already-replaced/)
- [Use case: The corrected storage instructions lost to the document they replaced](https://aaanow.ai/use-cases/corrected-storage-instructions-lost/)
- [Use case: Directors exposure - from companies on record issues](https://aaanow.ai/use-cases/mixing-steps-wrong-order/)
- [Use case: The internal AI project failed, was written off, and the documents that sank it were never examined](https://aaanow.ai/use-cases/internal-ai-project-written-off/)
- [Use case: The company’s AI amplified its own PDF failings](https://aaanow.ai/use-cases/own-ai-compounded-errors/)
- [Use case: intellectual property disputes](https://aaanow.ai/use-cases/intellectual-property-disputes/)
- [Use case: clinical and licensing exposure](https://aaanow.ai/use-cases/clinical-licensing-exposure/)
- [Use case: Clinicians received instructions the company had replaced](https://aaanow.ai/use-cases/clinicians-given-replaced-dosing/)
- [Use case: A withdrawn medicine still carried full dosing guidance online, and AI served it as current](https://aaanow.ai/use-cases/withdrawn-medicine-served-as-current/)
- [Use case: Patients were told a withdrawn medicine was available, because the website still said so](https://aaanow.ai/use-cases/withdrawn-medicine-still-listed/)
- [Use case: 20 years of documents were still answering for the company as if each were current](https://aaanow.ai/use-cases/twenty-years-of-documents/)
## Service and platform
- [Service, an introduction](https://aaanow.ai/service/introduction/)
- [Introduction: Immediate value, your foundation for AI confidence](https://aaanow.ai/service/the-journey/)
- [AI Discovery (the assessment before AI Accelerator, £7,400 / $9,750)](https://aaanow.ai/service/ai-readiness/)
- [AI Discovery, the detailed overview (what is assessed, the 3 weeks, what the organisation receives, responsibilities, buying rules)](https://aaanow.ai/service/ai-discovery/overview/)
- [AI Accelerator (6 weeks in which the changes AI Discovery agreed get made: your people make them; we show what to change and check it has worked; £18,000 / $23,500, or £24,000 / $31,250 with landscape mapping; set up yourself the same outcomes typically take 8 to 11 months; can begin within 10 to 12 days)](https://aaanow.ai/service/ai-accelerator/)
- [AI Accelerator, the detailed overview (who takes part, the 6 weeks, what the organisation receives, responsibilities, buying rules, investment)](https://aaanow.ai/service/ai-accelerator/overview/)
- [AI Confidence](https://aaanow.ai/service/ai-confidence/)
- [AI Confidence, the detailed overview (what it is, who it is for, how it runs, what the organisation receives, AI Governance within it, the obligations that apply, responsibilities, buying, investment)](https://aaanow.ai/service/ai-confidence/overview/)
- [Self-Service, the outside-in reading on your own terms, online from Oct. 2026](https://aaanow.ai/service/self-service/)
- [AI Governance, evidence of control over what you have published](https://aaanow.ai/service/ai-governance/)
- [Inside AI Governance, how the module operates](https://aaanow.ai/service/ai-governance/how-it-operates/)
- [Regulated Company Example, AI Governance in practice (illustrative)](https://aaanow.ai/service/ai-governance/regulated-company-example/)
- [The accuracy problem outside your AI policy](https://aaanow.ai/service/ai-governance/accuracy-outside-ai-policy/)
- [Pricing, the published investment for AI Discovery, AI Accelerator, AI Confidence, AI Governance and the partner subscription (£9,500 / $12,000 a year)](https://aaanow.ai/resources/pricing/)
- [Platform, an introduction](https://aaanow.ai/platform/introduction/)
- [Why us (vs internal / external)](https://aaanow.ai/platform/why-us/)
- [CCDM, the engine](https://aaanow.ai/platform/ccdm/)
- [IN|SITE, the organisation’s position at a point in time](https://aaanow.ai/platform/in-site/)
- [OVER|SITE, how the position changes over time, with significant change brought to attention](https://aaanow.ai/platform/over-site/)
- [WORK|PACK, what to correct, in what order, why and how](https://aaanow.ai/platform/work-pack/)
- [Landscape Discovery](https://aaanow.ai/platform/landscape-discovery/)
- [Digital Doorway](https://aaanow.ai/platform/digital-doorway/)
- [AI Readiness, in the platform](https://aaanow.ai/platform/ai-readiness/)
- [Maturity Scale](https://aaanow.ai/platform/maturity-scale/)
- [Misinformation Profiling, AI Misinformation Exposure](https://aaanow.ai/platform/misinformation/)
- [Secure Tag](https://aaanow.ai/platform/secure-tag/)
- [PDF to HTML](https://aaanow.ai/platform/pdf-to-html/)
- [Schematic](https://aaanow.ai/platform/schematic/)
- [Diagnostics (holding page, in preparation)](https://aaanow.ai/platform/diagnostics/)
## AI Readiness Benchmark
- [Introduction, what the benchmark is and why it matters](https://aaanow.ai/ai-readiness-benchmark/introduction/)
- [The benchmark, sector by sector](https://aaanow.ai/ai-readiness-benchmark/)
- [Global Chemicals](https://aaanow.ai/ai-readiness-benchmark/global-chemicals/)
- [Global Airlines](https://aaanow.ai/ai-readiness-benchmark/global-airlines/): 75 of the largest airline groups, read as AI and AI agents read them; partner RWS
- [AI Readiness Benchmark, World Hotels 100](https://aaanow.ai/ai-readiness-benchmark/world-hotels-100/)
- [Top 50 Insurers / brokers](https://aaanow.ai/ai-readiness-benchmark/insurance-brokers-50/)
- [Life Sciences](https://aaanow.ai/ai-readiness-benchmark/life-sciences/)
- [Insurance Pools](https://aaanow.ai/ai-readiness-benchmark/insurance-pools/)
- [London listed 100](https://aaanow.ai/ai-readiness-benchmark/london-listed-100/)
- [London listed 250](https://aaanow.ai/ai-readiness-benchmark/london-listed-250/)
- [Fortune](https://aaanow.ai/ai-readiness-benchmark/fortune/)
- [Global Higher Ed.](https://aaanow.ai/ai-readiness-benchmark/global-higher-education/)
- [Private / Corporate, your own benchmark held in confidence](https://aaanow.ai/ai-readiness-benchmark/private-corporate/)
## Free tools
- [JSON-LD Schema Validator, the product](https://aaanow.ai/free/json-ld-schema-validator/)
- [JSON-LD Schema Validator, how you work with it](https://aaanow.ai/free/json-ld-validator-how-it-works/)
- [JSON-LD Schema Validator, processing sequence](https://aaanow.ai/free/json-ld-validator-processing/)
- [JSON-LD Schema Validator, security and privacy](https://aaanow.ai/free/json-ld-validator-security-privacy/)
- [JSON-LD Schema Validator, primary sources](https://aaanow.ai/free/json-ld-validator-sources/)
- [llms.txt generator, what the file is and how to write one](https://aaanow.ai/free/llm-txt-generator/)
- [/ask endpoint, how a website answers questions in plain language](https://aaanow.ai/free/build-ask-endpoint/)
- [agent.json, telling AI agents what your service does](https://aaanow.ai/free/create-agent-json/)
- [Markdown for Agents on Cloudflare](https://aaanow.ai/free/cloudflare-markdown-for-agent/)
- [Markdown for Agents on Akamai](https://aaanow.ai/free/akamai-markdown-for-agent/)
## Documents
- [AI Readiness, the paper](https://aaanow.aflip.in/AI_Readiness_MAY28_REV1-21a.html)
- [The Triad of Exposure, the report](https://aaanow.aflip.in/AI_Exposure_27JUN2026.html)
## Articles
- [Stop paying AI to reread what has not changed.](https://aaanow.ai/articles/stop-paying-ai-to-reread/): basic website errors drive billions of needless machine requests; removing 3 in 4 saves millions in AI spend and 7,139 tonnes of CO2 a year in the US, and reduces misinformation risk
- [World Aviation Festival. RWS sharing the Global Airlines benchmark.](https://aaanow.ai/articles/world-aviation-festival-rws/)
- [If AI poisoning reached your annual results, who controls the figures investors see?](https://aaanow.ai/articles/ai-poisoning-annual-results/)
- [Correct annual report, wrong AI answer. Who answers for it?](https://aaanow.ai/articles/correct-annual-report-wrong-ai-answer/)
- [Convergence, New York: what AI can find, and who answers for it.](https://aaanow.ai/articles/convergence-new-york-panel/)
- [Latest CMS Wire piece, why is AI turned away?](https://aaanow.ai/articles/ai-crawlers-blocked/)
- [AI governance: 5 questions directors and officers should ask](https://aaanow.ai/articles/ai-governance-directors-officers/)
- [Attending Convergence? Join us in New York.](https://aaanow.ai/articles/convergence-wilson-elser/)
- [Supporting investor confidence as reliance on AI grows](https://aaanow.ai/articles/investor-ai-and-confidence/)
- [Reducing misinformation and hallucinations with the AI Accelerator.](https://aaanow.ai/articles/ai-accelerator-misinformation/)
- [Why do 9 in 10 AI projects fail? Did they start with documents that looked fine?](https://aaanow.ai/articles/9-in-10-ai-projects-fail/)
- [Articles, news & stories (the index)](https://aaanow.ai/articles/)
- [Misinformation is the first instalment AI is collecting as repayment for your digital debt.](https://aaanow.ai/articles/digital-estate-debt/)
- [Why are organisations blocking the AI systems shaping how they are found and represented?](https://aaanow.ai/articles/digital-suicide/)
- [Looking both ways, and not being run over by AI](https://aaanow.ai/articles/looking-both-ways-before-ai-runs-you-over/)
- [The Triad of Exposure - and how AI turns digital sprawl into active risk.](https://aaanow.ai/articles/triad-of-exposure/)
- [Evergreen PR, and the sector benchmark that continues to win business.](https://aaanow.ai/articles/evergreen-pr-sector-benchmark/)
- [If AI Is the Front Door, What Does It See?](https://aaanow.ai/articles/if-ai-is-the-front-door/)
- [Correct to people, wrong to machines. The financial reporting control gap.](https://aaanow.ai/articles/correct-to-people-wrong-to-machines/)
- [Spending on AI Visibility, are you promoting poor governance?](https://aaanow.ai/articles/visibility-amplifying-poor-governance/)
- [Understanding, then protecting against AI Misinformation](https://aaanow.ai/articles/protecting-against-ai-misinformation/)
- [Automation supporting AI Governance, starts outside-in.](https://aaanow.ai/articles/automation-supporting-ai-governance/)
- [The same exposure lands differently](https://aaanow.ai/articles/same-exposure-lands-differently/)
- [Three stages, and only one order](https://aaanow.ai/articles/three-stages-one-order/)
- [AI readiness, by client status](https://aaanow.ai/articles/ai-readiness-by-client-status/): One AI readiness conversation, worth something different to a present client, a lapsed client, a prospect, a live discussion, and an inbound inquiry, with a ready message for each.
- [AI Search Visibility Is Not the Same as AI Readiness](https://aaanow.ai/articles/ai-search-visibility-is-not-ai-readiness/): Visibility and AI readiness answer different questions: how an organization appears in AI-generated answers, and whether the material underneath is fit to be read, trusted, and reused.
- [Automate quotes & meeting work packs so client reviews can be evidence-led](https://aaanow.ai/articles/automate-quotes-and-meeting-work-packs/): Generate evidence-led work packs on demand. Cut pre-meeting prep time, improve quote accuracy, and close reviews with clearer next steps.
- [Being heard, standing apart, and the revenue that results](https://aaanow.ai/articles/being-heard-standing-apart/): For agencies. A standing, independent reading of how AI finds and represents a client, taken from the outside in and applied across present, lapsed and prospective clients.
- [Equip BDRs with target-named outreach that triggers real conversations](https://aaanow.ai/articles/give-bdrs-target-named-outreach/): Replace generic templates with target-named insight, so BDRs lead with something specific, relevant, and provable, and improve first-call progression.
- [How losing the pitch is worth more. 30 days, $40,000.](https://aaanow.ai/articles/how-losing-the-pitch-is-worth-more/): Losing a client rarely ends the story. A long-term account moved its website to another agency and performance collapsed; the original agency stepped in with evidence and won a $40,000 engagement.
- [Where The Agency Revenue Radar fits the BenchPress 2026 priorities](https://aaanow.ai/articles/radar-and-the-benchpress-2026-priorities/): BenchPress 2026, Driving Agency Growth, sets out where £1m+ agencies are placing their bets for the year, read against where The Agency Revenue Radar carries the work.
- [Re-engage dormant accounts automatically, with evidence that earns a reply](https://aaanow.ai/articles/re-engage-dormant-accounts/): Restart lapsed client conversations with account-specific evidence. Automated outreach that earns replies, not generic ‘just checking in’ messages.
- [The One Change That Wins More Pitches](https://aaanow.ai/articles/the-one-change-that-wins-more-pitches/): Most of the decision forms before the pitch is heard. The agency with something to say about the buyer, not only about itself, holds the rarer thing to offer.
## Audio and transcripts
Each audio guide on the site is published with a complete written transcript, so the spoken material can be read, searched and cited without playing the recording.
- [The Triad of Exposure, audio edition (4 min 47 sec), full transcript](https://aaanow.ai/articles/triad-of-exposure-transcript/)
- [Scorecard for Sitemorse clients, audio edition (5 min 23 sec), full transcript](https://sitemorse.aaanow.ai/transcript/)
## For Sitemorse clients (separate address)
- [Scorecard added to your Sitemorse service](https://sitemorse.aaanow.ai/)
- [Audio transcript of that page](https://sitemorse.aaanow.ai/transcript/)
## The group
- [AAAnow](https://aaanow.ai/)
- [Sitemorse](https://sitemorse.com)
- [AAAtraq](https://aaatraq.com)
Contact: sales@AAAnow.ai

## Use cases, what goes wrong when AI reads an out-of-date estate
Each page is a single, self-contained account of one failure: what AI read, what it told the reader, and what it cost. Written to be quoted on its own.
- [The annual report AI read was not the one the board signed](https://aaanow.ai/use-cases/annual-report-not-the-one-signed/)
- [At renewal, the firm could not show what it had online, and the terms showed it](https://aaanow.ai/use-cases/at-renewal-nothing-to-show/)
- [The buyer's AI knew things about the company that the company did not](https://aaanow.ai/use-cases/buyers-ai-knew-more-than-the-company/)
- [The chatbot was replaced twice before anyone looked at what it was reading](https://aaanow.ai/use-cases/chatbot-replaced-twice/)
- [Chemicals, the use cases](https://aaanow.ai/use-cases/chemicals/)
- [Consumer brands, the use cases](https://aaanow.ai/use-cases/consumer-brands/)
- [The estate the digital team had warned about for years](https://aaanow.ai/use-cases/estate-digital-team-warned/)
- [Financial services, the use cases](https://aaanow.ai/use-cases/financial-services/)
- [Forgotten sites nobody was patching: AI finding and highlighting vulnerabilities](https://aaanow.ai/use-cases/forgotten-sites-the-attackers-found/)
- [Investors were told the former chair still ran the board](https://aaanow.ai/use-cases/former-chair-still-ran-the-board/)
- [Funding stopped on submissions that looked fine](https://aaanow.ai/use-cases/funding-stopped-on-submissions/)
- [Government, the use cases](https://aaanow.ai/use-cases/government/)
- [Investors were quoted guidance the company had already revised](https://aaanow.ai/use-cases/guidance-already-revised/)
- [AI read half the annual report and made up the rest](https://aaanow.ai/use-cases/half-the-annual-report-made-up/)
- [The impact of AI finding what you cannot see](https://aaanow.ai/use-cases/headings-disappeared-for-the-machine/)
- [Higher education, the use cases](https://aaanow.ai/use-cases/hi_ed/)
- [A hostile version of the results was the one AI quoted, because the company's was locked away](https://aaanow.ai/use-cases/hostile-version-of-the-results/)
- [The use cases: what happened, and the impact](https://aaanow.ai/use-cases/)
- [Investors acted on results the company had already superseded](https://aaanow.ai/use-cases/investors-acted-on-superseded-results/)
- [Life sciences, the use cases](https://aaanow.ai/use-cases/life-sciences/)
- [Listed companies, the use cases](https://aaanow.ai/use-cases/listed-companies/)
- [New York City’s business chatbot told companies to break the law](https://aaanow.ai/use-cases/new-york-city-chatbot/)
- [An old annual report answered as this year's after the page that dated it was removed](https://aaanow.ai/use-cases/old-annual-report-answered-as-current/)
- [A 2-year-old partner promotion put the firm in front of the regulator](https://aaanow.ai/use-cases/partner-promotion-two-years-on/)
- [Planning decisions went wrong on a website the city had forgotten](https://aaanow.ai/use-cases/planning-decisions-forgotten-website/)
- [Regulator's questioned governance where the compliance register stopped](https://aaanow.ai/use-cases/regulator-questions-past-the-register/)
- [Regulator embarrassment at poor document control](https://aaanow.ai/use-cases/regulators-legal-documents/)
- [Residents get different answers to the same question, and the cost lands on the council](https://aaanow.ai/use-cases/residents-different-answers/)
- [The results table AI read had its figures in the wrong columns](https://aaanow.ai/use-cases/results-table-wrong-columns/)
- [2 AI tools, 2 different answers, and consequences the organisation could not see in full](https://aaanow.ai/use-cases/two-ai-tools-two-answers/)
- [£350,000 to be seen by AI routes the estate was turning away](https://aaanow.ai/use-cases/visibility-spend-at-a-closed-doorway/)
- [A withdrawn announcement was quoted as the company's current statement](https://aaanow.ai/use-cases/withdrawn-announcement-quoted-as-current/)
- [Customers abroad received the wrong cover and the wrong number to call](https://aaanow.ai/use-cases/wrong-cover-wrong-number/)
## Section indexes and further pages
- [The benchmark, sector by sector](https://aaanow.ai/ai-readiness-benchmark/)
- [Briefings, by invitation](https://aaanow.ai/briefings/)
- [Free tools, and how they work](https://aaanow.ai/free/)
- [Legal and policies, in full](https://aaanow.ai/legal/)
- [The platform, and how it works](https://aaanow.ai/platform/)
- [Add the sites you know to the digital landscape](https://aaanow.ai/resources/add-the-sites-you-know/)
- [Pages awaiting content](https://aaanow.ai/resources/content-status/)
- [Resources, and where to find them](https://aaanow.ai/resources/)
- [The service, page by page](https://aaanow.ai/service/)
- [Results, AI Readiness](https://aaanow.ai/results/)
## Legal and policies
- [Terms of service](https://aaanow.ai/legal/terms/)
- [Privacy](https://aaanow.ai/legal/privacy/)
- [Cookies](https://aaanow.ai/legal/cookies/)
- [Acceptable use](https://aaanow.ai/legal/acceptable-use/)
- [Disclaimer](https://aaanow.ai/legal/disclaimer/)
- [Accessibility](https://aaanow.ai/legal/accessibility/)
- [Security and vulnerability reporting](https://aaanow.ai/legal/security/)
- [Tag security](https://aaanow.ai/resources/tag-security/)