RSA Security AI Market Strategy Report - Identity and Access Management

Answer Capsule

RSA Security holds essentially no recommendation-stage presence in the Identity and Access Management category, appearing in just 1 of 255 qualified AI observations in September 2026 with zero valid recommendations. The brand is visible but never chosen, a pattern that has held across all three months of the benchmark series. Its clearest weakness is the absence of any recommendation conversion from its minimal mention presence. The clearest opportunity lies in building a public evidence layer that gives AI systems a reason to recommend RSA Security in high-intent identity management prompts.

Who This Report Is For

This report is for RSA Security's marketing, product marketing, and demand generation leadership evaluating how the brand appears in AI-generated recommendations for identity and access management solutions.

Report Card

Executive Summary

RSA Security is effectively absent from AI recommendation conversations in the Identity and Access Management category. The September 2026 benchmark shows the brand present in just 1 of 255 qualified observations, a 0.39% raw mention presence rate, with no valid recommendations, no top-three placements, and no rank-one appearances. The single mention was neutral in framing, meaning AI systems surfaced the brand name without endorsing it or directing buyers toward it.

The strongest cluster for RSA Security is the brand recommendation class, which is the only cluster with qualified observations in this benchmark. Even there, the brand's presence is negligible. The weakest signal is recommendation conversion: RSA Security converts none of its minimal visibility into actual recommendations, unlike category leaders Okta and SailPoint, who convert substantial shares of their mentions into valid recommendations.

Across platforms, RSA Security appeared only on ChatGPT in September 2026, with a single neutral mention. The brand had no presence on Copilot, Gemini, Perplexity, AI Overviews, or AI Mode. This platform concentration is not a strength; it reflects the thinness of the brand's overall footprint in AI-generated answers.

The benchmark evidence suggests RSA Security is not part of the consideration set that AI systems present to buyers researching identity management solutions. The category's recommendation structure is dominated by Okta and SailPoint, with BeyondTrust holding a distant third position. RSA Security sits in a group of tracked brands with no meaningful recommendation presence, alongside Axiad, CLEAR, Cross Match Technologies, and Telos Corporation.

What RSA Security Is Winning

RSA Security has no material wins in the September 2026 benchmark. The brand recorded no negative mentions, which is a neutral signal rather than a positive one, given that the brand was mentioned only once. There is no evidence of a recommendation pocket, a strong platform signal, or a prompt type where RSA Security holds meaningful visibility.

The single neutral mention on ChatGPT is the only observable presence. It demonstrates that AI systems can surface RSA Security in identity management conversations, but the mention did not translate into a recommendation or any form of endorsement. The brand's absence of negative framing is the only point that could be read constructively, and that reading is limited by the extremely small sample.

Where RSA Security Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How does RSA Security's presence rate compare with category leaders in AI-generated identity management answers?
• What does the gap between RSA Security's mentions and its recommendation count reveal about its visibility?
• Which competitors are displacing RSA Security when AI systems answer identity management prompts?

RSA Security's clearest gap is the near-total absence of presence in AI-generated recommendations for identity and access management. The brand appeared in 1 of 255 qualified observations in September 2026, a presence rate of 0.39%. By comparison, Okta appeared in 94.1% of observations and SailPoint in 73.7%. Even BeyondTrust, the third-place brand, appeared in 27.5% of observations.

The gap between presence and recommendation is even more telling. RSA Security's single mention produced no valid recommendation, meaning AI systems that did surface the brand did not include it in any shortlist or recommendation set. This is a visibility-without-conversion pattern in its most extreme form.

Competitor displacement is the dominant dynamic. When AI systems answer identity management prompts, they recommend Okta, SailPoint, or BeyondTrust. RSA Security is not present in the answer at all in most cases, and when it is present, it appears as a passing reference rather than a recommended option. The brand's absence across five of six tracked platforms compounds the problem, leaving it with no platform where it holds even marginal recommendation strength.

Biggest Opportunity

Questions This Section Answers

• What should RSA Security build to move from neutral mentions to valid recommendations?
• Why is increasing raw mentions not the right goal for RSA Security?

RSA Security's biggest opportunity is to establish a baseline recommendation presence in the brand recommendation cluster by building the public evidence layer that AI systems can retrieve and synthesize. The benchmark shows that AI systems do not currently have sufficient source material to position RSA Security as a recommended identity management option. The brand needs search-visible, authoritative content that clearly states its identity and access management capabilities, use cases, and differentiators in formats that AI systems can cite.

The path forward is not about increasing raw mentions. It is about creating the conditions for recommendation conversion, so that when RSA Security does appear in AI answers, it appears as a recommended option rather than a neutral reference. This requires a coordinated effort across owned content, third-party validation, and citation-worthy sources that give AI systems clear signals about where RSA Security fits in the identity management landscape.

Competitive Landscape

Questions This Section Answers

• Where does RSA Security rank in the competitive set for AI recommendation presence?
• Which brands hold the dominant recommendation-stage strength in this category?

Okta and SailPoint hold dominant recommendation-stage strength in the Identity and Access Management category, with BeyondTrust holding a distant third position. RSA Security sits at the bottom of the tracked competitive set alongside brands with no meaningful recommendation presence.

Average recommended rank covers rank-eligible recommendations only.

RSA Security's row shows zero across every recommendation metric, placing it in a tie with five other brands that hold no recommendation presence. The table makes clear that the competitive structure in this category is a two-brand leadership tier followed by a wide gap, and RSA Security is not currently part of the conversation AI systems present to buyers.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "What are the best identity and access management solutions?" Result: RSA Security was mentioned once in a neutral context, appearing as a reference rather than a recommended option, while Okta and SailPoint received the recommendation placements.

ChatGPT / Brand Recommendation Prompt: "Which IAM platform should an enterprise choose?" Result: RSA Security did not appear in the answer. Okta received the rank-one recommendation, with SailPoint also present in the recommendation set.

Google AI Overviews / Brand Recommendation Prompt: "Best identity management platforms for large organizations" Result: RSA Security had no presence in the answer. Okta and SailPoint dominated the recommendation placements, with BeyondTrust appearing in a supporting position.

What CiteWorks Studio Would Do Next

Questions This Section Answers

• What are the five phases CiteWorks Studio recommends for building RSA Security's AI recommendation presence?
• How should RSA Security sequence its audit, content, and citation work?

Phase 1: AI Market Discovery Audit Map the specific prompts where RSA Security is absent, the competitors receiving those recommendations, and the source patterns that support competitor answers.

Phase 2: Recommendation Readiness Plan Identify the identity management subcategories and use cases where RSA Security has the strongest legitimate claim to recommendation eligibility.

Phase 3: Owned Answer Layer Buildout Develop authoritative, search-visible content that clearly articulates RSA Security's identity and access management capabilities in language aligned with high-intent buyer prompts.

Phase 4: Citation / Authority Layer Development Build the third-party citation and source footprint that gives AI systems retrievable evidence for recommending RSA Security.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track monthly changes in presence, recommendation coverage, and placement to measure whether the brand is converting visibility into recommendation presence.

Why This Matters

Buyers researching identity and access management solutions increasingly receive their shortlists from AI systems. When RSA Security is absent from those AI-generated recommendations, the brand is invisible at the exact moment purchase decisions are being shaped. Presence alone would not be enough; the brand needs to be recommended, and ideally recommended early in the answer.

The benchmark evidence shows that AI systems currently have no basis for recommending RSA Security in identity management prompts. The next move is a targeted correction of the prompt, page, and citation layers, building the evidence base that allows AI systems to position RSA Security as a legitimate option rather than a passing reference.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For RSA Security, the calculation is (0 × 1 + 1 × 0 + 0 × -1) / 1, producing a sentiment score of 0.00. This score reflects the single neutral mention the brand received in September 2026.

The sentiment score matters because unclassified mention counts are misleading. A brand with one neutral mention and a brand with one positive recommendation would both show one mention, but the commercial meaning is entirely different. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the framing of a mention determines whether it helps or hurts the brand at the decision moment.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of RSA Security's AI visibility and recommendation presence in the Identity and Access Management category, based on the LLM Authority Index AI Market Discovery Index and supporting metrics aggregation. It is not a client implementation case study.
2. The reporting window is September 2026, with comparative reference to July 2026 and August 2026 where the benchmark provides historical context.
3. The benchmark tracked six AI and search surface families: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
4. The September 2026 benchmark began with 800 prompt-surface observations, of which 368 were relevant to the category and 432 were irrelevant. After qualification, 255 observations formed the public denominator for brand-level metrics.
5. The competitor universe included 10 tracked brands: Axiad, BeyondTrust, CLEAR (by Alclear, LLC), Cross Match Technologies, Keyfactor, Okta, RSA Security, SailPoint, Semperis, and Telos Corporation.
6. All 255 qualified observations in September 2026 fell into the brand recommendation class of buyer-intent discovery. The public benchmark does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.
7. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed. These observations feed the aggregate metrics presented in this report.
8. A mention is defined as any appearance of a tracked brand in an AI answer, regardless of whether the brand was recommended.
9. A valid recommendation is defined as a positive, rank-eligible recommendation in which the brand is explicitly presented as a recommended option. Neutral references, cautionary mentions, and comparison anchors are not counted as valid recommendations.
10. Brand-level percentages use the qualified observation count of 255 as the denominator, not the 800 raw prompt-surface observations collected.
11. The three-month series from July to September 2026 is too short to establish trends for brands with very small observation counts. RSA Security's single mention and zero recommendations should be read as a sustained absence of recommendation presence rather than a directional movement.
12. This public benchmark does not measure market share, attributable sales, every possible AI response, organic search ranking, or causality from metric movement alone. Source presence in AI answers is evidence about the information environment, not proof that a source caused a recommendation.

Get Your AI Visibility Audit

The public benchmark shows where RSA Security stands in AI-generated recommendations, but it cannot identify the specific prompts, competitors, and sources that would need to change for the brand to gain recommendation presence. A company-level AI visibility audit maps those patterns into a prioritized strategy for moving from visibility to recommendation.