Answer Capsule
Security Mutual Life is a good, but not conclusively best, fit for a buyer prioritizing long-term whole-life cash value accumulation. Three of seven platforms named it during the ranking stage (deepseek, kimi, perplexity), and it finished with an average listed rank of 4.67 and a best rank of 1. The strongest reason to consider it is its WL4U/LP100-style participating whole life design, which independent reviewers describe as engineered for cash value accumulation with non-direct recognition loans and paid-up additions flexibility [1]. The main limitation is that no verified public illustration, current dividend scale, or apples-to-apples cash value comparison was located, and its A- AM Best rating sits below top-tier mutual carriers [3].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (deepseek, kimi, perplexity) |
| Share of included platform responses | 42.9% |
| Average listed rank | 4.67 |
| Best listed rank | 1 (deepseek) |
| Relevant product/model/plan | Participating whole life; WL4U/LP100-style designs, 10 Pay, and high early cash value variants with paid-up additions riders |
| Overall use-case fit | Good, with important qualification |
| Research date | 2026-09-20 |
Why Security Mutual Life Qualified for This Study
Questions This Section Answers
- Is Security Mutual Life a good choice for Whole Life Insurance for Cash Value Accumulation?
- Why did only three of seven AI platforms name Security Mutual Life for cash value accumulation?
Security Mutual Life qualified because three of the seven platforms named it during ranking discovery, clearing the two-mention minimum, and because its participating whole life line maps directly onto the cash-value use case. Deepseek ranked it first, kimi sixth, and perplexity seventh, producing an average listed rank of 4.67 [5].
The qualification is not a quality endorsement. Platform mentions measure how often a carrier surfaced in AI-generated recommendations, not how well its policies perform. Kimi's own response states that the ranking-stage product labels appeared to map to MassMutual product names rather than Security Mutual products, and that no verified Security Mutual whole life specifications were retrieved [7]. That conflict is disclosed in full below.
Security Mutual Life is a mutual insurer headquartered in Binghamton, New York, with a company-reported history dating to 1886 and dividends paid every year since 1893 [8]. It holds an AM Best financial-strength rating of A- (Excellent) with a stable outlook, effective September 17, 2025 [10].
The Product, Model, Plan, or Service Most Relevant to Whole Life Insurance for Cash Value Accumulation
Questions This Section Answers
- Which Security Mutual Life whole life plan is most relevant for a buyer who wants efficient long-term cash value accumulation?
- Does Security Mutual Life's WL4U LP100 design include paid-up additions and non-direct recognition loans for cash value growth?
The most relevant design is the Security Designer WL4U series, particularly the WL4U LP100, structured with an Enhanced Paid-Up Additions Rider or Combo Rider. Independent reviewers describe the LP100 as payable to age 100 and positioned as the cash-value accumulation workhorse, with non-direct recognition loans, flexible paid-up additions, and an Advantage Loan Benefit at year 20 [12].
Platforms did not agree on the product name. Deepseek and perplexity both listed "Whole Life Legacy 10 Pay," "Whole Life Legacy High Early Cash Value (HECV)," and "Whole Life Legacy 100" [15]. OpenAI described "Whole Life Legacy/WL4U designs" together [17]. Google and grok described the WL4U series with LP100 and 10-Pay variants [18]. Kimi stated that the Legacy names are MassMutual products and that no Security Mutual equivalent was confirmed [20].
Company materials confirm the general structure rather than a specific Legacy label. Security Mutual describes whole life as permanent insurance with fixed premiums, a guaranteed death benefit, and cash-value growth [17]. It states that a paid-up additions rider can provide additional death benefit and help build cash value, subject to limitations [22]. It also states that policy loans are generally available up to approximately 90% of current cash surrender value, with interest charged [23].
A company-published illustration showed a $13,053 annual premium for a 60-year-old preferred nonsmoking male purchasing $200,000 of guaranteed death benefit under a WL4U3 10 Pay design [24]. That example is illustrative only and is not a quote for any other buyer.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree on about Security Mutual Life whole life insurance for cash value accumulation?
- Is Security Mutual Life's dividend history strong enough to rely on for long-term cash value growth?
Platforms agreed on four points: the product structure fits the use case, guaranteed values exist, paid-up additions support accumulation, and policy loans provide access.
On structure, five platforms described a participating whole life design oriented toward cash value accumulation [25]. On guarantees, Security Mutual states that traditional whole life provides guaranteed cash value and death benefits for life if required premiums are paid [30]. On paid-up additions, the company states the rider can add paid-up death benefit and guaranteed cash value [32]. On access, the company confirms policy loans and withdrawals, with loan requests generally processed within five business days after receipt at the home office [34].
Platforms also converged on dividend history. Independent reviewers report a dividend streak exceeding 130 consecutive years, with one source describing it as every year since 1893 [35]. Google reported a 2026 dividend distribution of approximately $21.5 million at a declared gross dividend rate of about 5.85%, described as non-guaranteed [37]. Anthropic reported 2026 declared rates of 6.60% for MassMutual, 6.40% for New York Life, and 5.75% for Northwestern Mutual, but stated that Security Mutual's 2026 rate was not publicly located in its search [38]. Those two figures come from different platforms and were not reconciled.
Agreement among AI platforms does not establish product quality. It establishes that multiple systems surfaced the same marketing and review material.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether Security Mutual Life offers a Whole Life Legacy or HECV product?
- How should a buyer interpret the conflict between Security Mutual Life's A- AM Best rating and its C- Weiss safety score?
The largest disagreement is product identity. Deepseek and perplexity named Whole Life Legacy 10 Pay, HECV, and Legacy 100 [39]. Kimi stated those are MassMutual product names and that no Security Mutual equivalent was verified [41]. OpenAI flagged the same problem, noting that the Legacy 10 Pay and HECV labels were not located on an accessible current official product page [42]. Google and grok used WL4U and LP100 naming instead [43]. The exact current consumer-facing product names and state availability remain unresolved.
The second disagreement is financial strength. AM Best lists A- (Excellent) with a stable outlook and a Very Strong balance-sheet-strength assessment [45]. Weiss Ratings reports good capitalization and investment quality but weak liquidity and operating losses during 2024 [47]. Anthropic reported a Weiss safety score of C- with weak liquidity and weak stability test results [48]. These use different analytical frameworks and are not directly contradictory, but they warrant review of current statutory data.
The third uncertainty is scale and validation breadth. Independent commentary states that Security Mutual is too small to receive a COMDEX score and does not hold S&P, Moody's, or Fitch ratings, with one source attributing that to smaller mutuals directing capital to policyholder dividends rather than rating-agency fees [51]. One source cited a B++ AM Best rating, conflicting with the A- rating reported by the company and other sources [53].
The fourth uncertainty is performance. No platform located an independent, apples-to-apples cash value illustration comparing Security Mutual against MassMutual, New York Life, Guardian, Penn Mutual, or Northwestern Mutual [54]. Grok reported that early cash value percentages of 75–85% trail leaders such as Guardian and Lafayette, but that comparison was platform-reported and not independently verified [55].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What features make Security Mutual Life whole life policies suitable for cash value accumulation?
- How does Security Mutual Life's non-direct recognition loan feature affect cash value growth when a policy loan is outstanding?
Four features matter for this use case: guaranteed values, paid-up additions, non-direct recognition loans, and early liquidity.
Guaranteed values. Security Mutual states that whole life provides guaranteed cash value and death benefits for life if required premiums are paid, and that cash value can be used as collateral for a loan [56]. Guarantees remain subject to policy terms, continued policy status, and premium payment.
Paid-up additions. The company states that paid-up additions can add paid-up death benefit and guaranteed cash value, and that a paid-up additions rider can help build cash value [59]. An Enhanced Paid-Up Additions Rider is described as allowing flexible extra premium payments, a two-year catch-up window, acceptance of 1035 exchange proceeds, and scheduled payments within limits of 75% to 125% of the scheduled rider premium in later years [61]. Surrendering or using paid-up additions can reduce guaranteed cash value and death benefit.
Non-direct recognition loans. Independent reviewers state that the WL4U LP100 uses non-direct recognition, meaning a policy loan does not reduce dividends credited to the policy's cash value [62]. Google also reported first-year policy loan availability and an Advantage Loan Benefit at year 20 [64]. These are platform-reported descriptions of marketing and review material, not verified contract terms.
Access mechanics. The company states that policy loans are generally available up to approximately 90% of current cash surrender value, that interest is charged, and that outstanding loans are deducted from proceeds [65]. Withdrawals and loans can reduce cash value or death benefit. Nonforfeiture options may include cash surrender, reduced paid-up insurance, and extended term insurance [65].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Security Mutual Life whole life insurance cost per month for cash value accumulation?
- What fees, loan interest, and surrender terms should a buyer confirm before signing a Security Mutual Life whole life contract?
No standardized consumer price was verified for the recommended designs. Pricing confidence is low across every platform that reported on it [66].
The only company-published figure located was the illustrative WL4U3 10 Pay example: $13,053 annually for a 60-year-old preferred nonsmoking male with $200,000 of guaranteed death benefit [66]. That is not a quote for the target buyer and should not be generalized.
Known cost elements include premiums that vary by age, underwriting class, face amount, payment duration, dividend option, riders, and state-approved form; policy-loan interest on outstanding balances; and higher upfront premiums than comparable term insurance [71]. Grok reported a policy fee of approximately $75 per year in some WL4U products and modal premium factors around 0.086–0.0841, but that figure was platform-reported and not verified against a current contract [69].
Contract terms to confirm include required premium payments, automatic premium loan provisions, lapse risk, surrender and withdrawal effects on cash value and death benefit, nonforfeiture options, and whether the policy is direct recognition or non-direct recognition for loans [71]. Specific paid-up-additions rider charges, administrative charges, premium-mode charges, and loan interest rates were not publicly verified [71].
For context, one independent source reported industry benchmarks of roughly $400–$600 per month for $500,000 of whole life coverage for a healthy 35-year-old male, versus $30–$50 per month for comparable term [73]. That benchmark is not a Security Mutual rate.
Best Suited For
Questions This Section Answers
- Who is Security Mutual Life whole life insurance best suited for among cash value accumulation buyers?
- Is Security Mutual Life a good fit for a buyer who wants to borrow against cash value while keeping dividends intact?
Security Mutual Life is best suited for a buyer who wants permanent coverage with contractual guarantees and a cash-value accumulation orientation, can sustain relatively high premiums, and expects to hold the policy for many years [74].
It also fits a buyer working with an independent agent who can compare Security Mutual illustrations against larger mutual carriers, and a buyer designing an infinite-banking or capitalized-whole-life style policy who values non-direct recognition loans and early liquidity [76].
A fourth fit is a buyer in New York or the Northeast who prefers a regional mutual carrier with local relationships, or who prioritizes a long dividend streak and mutual ownership over maximum industry recognition [79].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Security Mutual Life for Whole Life Insurance for Cash Value Accumulation?
- Is Security Mutual Life a poor choice for a buyer who needs the highest available financial-strength ratings?
Security Mutual Life is probably not the best choice for a buyer who needs the lowest-cost death benefit, for whom term insurance may be more appropriate [81].
It is also a weaker fit for a buyer seeking independently verified superior cash-value performance or the highest available financial-strength ratings. AM Best's A- is the fourth highest on a 16-step scale and sits below A+ and A++ carriers [82]. Independent commentary describes a meaningful difference in depth and breadth of financial validation compared with MassMutual and New York Life, both rated A++ [84].
It is also a weaker fit for a buyer who requires multiple rating-agency confirmation, since Security Mutual does not hold S&P, Moody's, or Fitch ratings and is too small for a COMDEX composite score [85]. Buyers who prioritize absolute liquidity strength may treat the Weiss C- score and weak liquidity flag as disqualifying [87].
Finally, it is a weaker fit for a buyer unwilling to accept insurer dividends, loan interest, premium commitments, and early-surrender tradeoffs, or who wants transparent public pricing and easy online comparison [81].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Security Mutual Life for a buyer who needs top-tier financial-strength ratings?
- When should a buyer choose MassMutual, Penn Mutual, or New York Life instead of Security Mutual Life for cash value accumulation?
Another carrier may be better when the buyer places maximum weight on top-tier financial-strength ratings, broader public disclosure, or a larger service infrastructure [90]. MassMutual, New York Life, and Northwestern Mutual are described as holding A+ or A++ ratings, above Security Mutual's A- [91].
Another option may be better when the buyer wants a participating whole-life competitor with independent-agent distribution and detailed side-by-side illustrations. Penn Mutual and MassMutual were named as industry-standard benchmarks for published dividend rates and transparent cash value illustrations [90]. Penn Mutual's Accumulation Whole Life includes guaranteed cash value and rider options such as an Enhanced Permanent Paid-Up Additions Rider [94]. New York Life offers Custom Whole Life options with limited premium-pay periods [95].
Term insurance plus separate diversified investing may be better when the buyer primarily needs affordable temporary protection or has not prioritized permanent insurance and its long holding period [90]. Universal life or variable life may be considered only after specialist analysis when the buyer prioritizes premium flexibility or market-linked accumulation and accepts materially different guarantee and investment risks [90].
A buyer who needs verified high early cash value design, documented 10-pay cash accumulation performance, or immediate premium and cash value illustrations for comparison may also find better-documented alternatives, since no independent Security Mutual illustration was located [96].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Security Mutual Life before signing a whole life contract for cash value accumulation?
- Which illustration assumptions and loan terms must be verified before relying on Security Mutual Life cash value projections?
Confirm the exact current policy form and approved product name in the buyer's state: Legacy 10 Pay, HECV, LP100, or another WL4U design [98].
Request guaranteed and non-guaranteed cash values, death benefits, internal rates of return, and cumulative premiums at years 5, 10, 20, 30, and life expectancy [100].
Ask what dividend scale and dividend interest assumptions are used, and how actual dividends have differed from illustrated assumptions [100].
Confirm whether the policy is direct recognition or non-direct recognition for loans, and what the current and guaranteed loan interest rate is [100].
Ask what the paid-up-additions rider charges, limits, minimum premiums, and effects on guaranteed values and MEC status are [103].
Confirm the exact conditions under which premium offset can begin, and what happens if dividends or policy performance are lower than illustrated [100].
Request surrender charges, nonforfeiture values, reduced-paid-up values, and automatic-premium-loan provisions [100].
Ask how much can be borrowed or withdrawn at each policy year, and how a loan would affect death benefit, dividends, lapse risk, and taxes [100].
Confirm whether the policy is participating and which dividend options are available, including paid-up additions and accumulation at interest [100].
Ask how the proposal compares on guaranteed and current assumptions with at least three competing mutual carriers, and what commissions or broker incentives apply to the recommending agent [100].
Confirm whether the funding schedule risks creating a modified endowment contract or impairing future affordability [100].
Final AI Consensus Verdict
Security Mutual Life is a good fit for Whole Life Insurance for Cash Value Accumulation, with important qualifications. Its participating whole life platform aligns with a buyer seeking guaranteed permanent coverage, cash-value accumulation, paid-up-addition potential, and policy-loan access [107]. Its A- (Excellent) AM Best rating with a stable outlook is supportive [111].
The qualifications are material. Public evidence does not establish superior cash-value efficiency versus leading alternatives [113]. The exact Legacy or HECV design, current illustration assumptions, dividend scale, loan terms, and rider costs must be verified before purchase [107]. Weiss reports weak liquidity and 2024 operating losses, which conflicts in emphasis with the AM Best view [115]. Platform fit ratings ranged from good (anthropic, deepseek, google, grok, openai) to mixed (perplexity) to uncertain (kimi).
Security Mutual Life should be shortlisted and compared, not selected solely from marketing claims or a single illustration.
How This Review Was Produced
This review synthesizes responses from seven AI platforms that were asked which whole life insurance carriers they would recommend for a consumer prioritizing long-term cash value accumulation with a meaningful death benefit. The platforms were deepseek, kimi, perplexity, openai, anthropic, grok, and google. Three of the seven named Security Mutual Life during ranking discovery.
Each platform supplied its own fit assessment, use-case findings, pricing notes, limitations, and verification questions. Those inputs were consolidated, and conflicts were preserved rather than resolved. Citation IDs in this article map to the platform-reported sources listed below. The consensus index for this category is available at Whole Life Insurance for Cash Value Accumulation, and the broader directory is at life insurance.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-20. Six platforms reported 2026-09-21; deepseek reported 2026-06-12. Platform-reported dates are provenance metadata and do not independently prove freshness.
All seven platforms evaluated fit, but the platform-mention count includes only platforms that named Security Mutual Life during ranking discovery. Platform mentions measure recommendation frequency, not product quality.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. Deepseek ran without search enabled, so its claims require explicit verification before being described as current facts.
No verified current dividend scale, guaranteed or non-guaranteed illustration, loan rate, rider price, premium-offset threshold, surrender schedule, or state-specific contract was available. Several official pages reviewed were educational pages rather than current policy-form disclosures. Product naming conflicts between Legacy and WL4U labels remain unresolved. One source cited a B++ AM Best rating that conflicts with the A- rating reported elsewhere.
Sources
Company-Owned Sources
- Whole Life Insurance Policy: https://fin.nationwide.com/personal/insurance/life/permanent/whole/coverage/
- Accumulation Whole Life Product Overview: https://gateway.pennmutual.com/static-assets/files/products/life/pm9084.pdf
- Whole Life Perform+ Premium and Cash Value Flyer: https://info.assurity.com/hubfs/Individual%20Sales/IS%20-%20Whole%20Life/Flyers/Flyer-Prem-CashVal-WL.pdf?hsLang=en-us
- Security Mutual Life Whole Life Insurance Products: https://smlny.com/
- 10 Commonly Misunderstood Insurance Terms Explained: https://smlny.com/10-commonly-misunderstood-insurance-terms-explained/
- 10 Mistakes People Make When Buying Life Insurance: https://smlny.com/10-mistakes-people-make-when-buying-life-insurance/
- Security Mutual Life About Us: https://smlny.com/about-us/
- Connecting the Dots: Using Life Insurance With Social Security: https://smlny.com/connecting-the-dots-using-life-insurance-with-social-security/
- Company Highlights | Security Mutual Life Insurance Company of New York: https://smlny.com/our-company/about-us/company-highlights/
- Whole Life Insurance: https://smlny.com/products-services/life-insurance/whole-life-insurance/
- Frequently Asked Questions: https://smlny.com/resources/insurance-tools-education/frequently-asked-questions/
- Company Highlights | Security Mutual Life Insurance Company of New York: https://smlny.com/wp-content/uploads/2018/02/14365-featured.jpg
- What is the Capitalized Whole Life Concept?: https://smlny.com/wp-content/uploads/2018/04/old-building.jpg
- Whole Life Insurance | Custom Cash Value Whole Life: https://www.newyorklife.com/products/insurance/whole-life
- Heritage 2025 Whole Life Insurance: https://www.westernsouthern.com/-/media/files/lafayette/ll-2374-heritage.pdf
- Official pricing and terms source: https://smlny.com/resources/videos/qualified-plans/
Additional AI research evidence116 records
- AI research evidence record anthropic:40-3
- AI research evidence record grok:web:1
- AI research evidence record openai:c5
- AI research evidence record anthropic:21-14
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record google:cit_sml_history
- AI research evidence record anthropic:21-3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:40-3
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:40-8
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record google:cit_sml_10pay
- AI research evidence record grok:web:1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record deepseek:c1
- AI research evidence record grok:web:1
- AI research evidence record google:cit_sml_highlights
- AI research evidence record anthropic:40-3
- AI research evidence record perplexity:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record anthropic:21-3
- AI research evidence record anthropic:40-1
- AI research evidence record google:cit_bw_ibc_2026
- AI research evidence record anthropic:41-14
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c2
- AI research evidence record google:cit_sml_10pay
- AI research evidence record grok:web:1
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:23-4
- AI research evidence record anthropic:21-11
- AI research evidence record anthropic:21-2
- AI research evidence record deepseek:c3
- AI research evidence record grok:web:7
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:40-3
- AI research evidence record google:cit_sml_cap_wl
- AI research evidence record google:cit_sml_10pay
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record anthropic:21-14
- AI research evidence record deepseek:c1
- AI research evidence record grok:web:7
- AI research evidence record perplexity:c12
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record kimi:insuranceandestates-whole-life-guide
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:40-3
- AI research evidence record anthropic:40-4
- AI research evidence record google:cit_sml_cap_wl
- AI research evidence record anthropic:21-10
- AI research evidence record anthropic:21-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-6
- AI research evidence record anthropic:23-5
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:21-11
- AI research evidence record anthropic:23-4
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:19-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:23-5
- AI research evidence record anthropic:41-14
- AI research evidence record kimi:pennmutual-accumulation
- AI research evidence record kimi:newyorklife-whole-life
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c3
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:41-14
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record deepseek:c3
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c7
- AI research evidence record anthropic:23-6
Independent Sources
- The top 100 life insurance companies: Ranked by revenue, size, and employee satisfaction: https://achievable.me/_next/image/?url=%2Fimages%2Fblog%2Ftop-life-insurance-companies%2Fheart-icon.jpg&w=1920&q=75&dpl=dpl_DQ1wk2J8fjcpQBKScJ85E93eLRAp
- Best Whole Life Insurance for Cash Value (2026: https://betterwealth.com/blogs/best-whole-life-for-cash-value
- Betterwealth Security Mutual Infinite Banking 2026: https://betterwealth.com/blogs/security-mutual-infinite-banking-2026
- How Whole Life Insurance Works in 2026: Guaranteed Cash Value, Dividends, and Paid-Up Additions: https://iulvswholelife.com/how-whole-life-works/
- Security Mutual Life Insurance Company of New York - Company Profile: https://ratings.ambest.com/CompanyProfile.aspx?AltNum=18927034&ambnum=7034
- Security Mutual Life Insurance Company of New York - Company Profile: https://ratings.ambest.com/CompanyProfile.aspx?ambnum=7034&AltNum=18927034
- Best's Rating Review: Security Mutual Life Insurance Company of New York: https://ratings.ambest.com/RatingReview.aspx?AltNum=18927034&AltSrc=1&Ext_Misc=&Ext_User=&PPP=&Portal=0&Site=&URatingId=0&ambnum=7034&bl=0
- Security Mutual Infinite Banking in 2026: An Honest Carrier Review - BetterWealth: https://smlny.com/wp-content/uploads/2018/04/AMBestCategories-Revised.gif
- Summary - SECURITY MUTUAL LIFE INS CO OF NY - Weiss Ratings: https://weissratings.com/en/insurer/L68772
- Security Mutual Life Insurance Company of New York Summary: https://weissratings.com/en/insurer/L68772/summary
- NYSDFS Examination Report - Life Insurance - Life Insurers: Security Mutual Life Insurance Company of New York - Combined - 12/31/2010: https://www.dfs.ny.gov/system/files/documents/2021/07/68772c10.pdf
- Search results for Security Mutual Life whole life cash value comparison (no independent illustration located: https://www.google.com/search?q=Security+Mutual+Life+whole+life+cash+value+comparison
- MassMutual Whole Life Insurance Review 2026 Dividend Update: https://www.insuranceandestates.com/mass-mutual-whole-life-insurance-review/
- Security Mutual Life Insurance Review 2026 | WL4U, IBC & Ratings: https://www.insuranceandestates.com/security-mutual-life-insurance-company-review/
- Top 10 Best Dividend Paying Whole Life Insurance Companies 2026 Rankings: https://www.insuranceandestates.com/top-10-best-dividend-paying-whole-life-insurance-companies/
- Whole Life Insurance: The Complete Guide to How It Really Works (2026: https://www.insuranceandestates.com/whole-life-insurance/
Additional AI research evidence116 records
- AI research evidence record anthropic:40-3
- AI research evidence record grok:web:1
- AI research evidence record openai:c5
- AI research evidence record anthropic:21-14
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record google:cit_sml_history
- AI research evidence record anthropic:21-3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:40-3
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:40-8
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record google:cit_sml_10pay
- AI research evidence record grok:web:1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record deepseek:c1
- AI research evidence record grok:web:1
- AI research evidence record google:cit_sml_highlights
- AI research evidence record anthropic:40-3
- AI research evidence record perplexity:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record anthropic:21-3
- AI research evidence record anthropic:40-1
- AI research evidence record google:cit_bw_ibc_2026
- AI research evidence record anthropic:41-14
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c2
- AI research evidence record google:cit_sml_10pay
- AI research evidence record grok:web:1
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:23-4
- AI research evidence record anthropic:21-11
- AI research evidence record anthropic:21-2
- AI research evidence record deepseek:c3
- AI research evidence record grok:web:7
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:40-3
- AI research evidence record google:cit_sml_cap_wl
- AI research evidence record google:cit_sml_10pay
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record anthropic:21-14
- AI research evidence record deepseek:c1
- AI research evidence record grok:web:7
- AI research evidence record perplexity:c12
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record kimi:insuranceandestates-whole-life-guide
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:40-3
- AI research evidence record anthropic:40-4
- AI research evidence record google:cit_sml_cap_wl
- AI research evidence record anthropic:21-10
- AI research evidence record anthropic:21-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-6
- AI research evidence record anthropic:23-5
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:21-11
- AI research evidence record anthropic:23-4
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:19-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:23-5
- AI research evidence record anthropic:41-14
- AI research evidence record kimi:pennmutual-accumulation
- AI research evidence record kimi:newyorklife-whole-life
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c3
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:41-14
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record deepseek:c3
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c7
- AI research evidence record anthropic:23-6
Other Sources
- NO Exams & NO Lab Testing for Qualified* Applicants!: https://www.agencyone.net/wp-content/uploads/2020/04/SMLXPress-0014413XX_112019.pdf
- Security Designer WL4U3 Whole Life Portfolio: https://www.fmiagent.com/carrier/security-mutual-life/security-designer-wl4u3-whole-life-portfolio/
Additional AI research evidence116 records
- AI research evidence record anthropic:40-3
- AI research evidence record grok:web:1
- AI research evidence record openai:c5
- AI research evidence record anthropic:21-14
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record google:cit_sml_history
- AI research evidence record anthropic:21-3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:40-3
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:40-8
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record google:cit_sml_10pay
- AI research evidence record grok:web:1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record deepseek:c1
- AI research evidence record grok:web:1
- AI research evidence record google:cit_sml_highlights
- AI research evidence record anthropic:40-3
- AI research evidence record perplexity:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record anthropic:21-3
- AI research evidence record anthropic:40-1
- AI research evidence record google:cit_bw_ibc_2026
- AI research evidence record anthropic:41-14
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c2
- AI research evidence record google:cit_sml_10pay
- AI research evidence record grok:web:1
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:19-1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:23-4
- AI research evidence record anthropic:21-11
- AI research evidence record anthropic:21-2
- AI research evidence record deepseek:c3
- AI research evidence record grok:web:7
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:40-3
- AI research evidence record google:cit_sml_cap_wl
- AI research evidence record google:cit_sml_10pay
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record anthropic:21-14
- AI research evidence record deepseek:c1
- AI research evidence record grok:web:7
- AI research evidence record perplexity:c12
- AI research evidence record openai:c3
- AI research evidence record openai:c2
- AI research evidence record kimi:insuranceandestates-whole-life-guide
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:40-3
- AI research evidence record anthropic:40-4
- AI research evidence record google:cit_sml_cap_wl
- AI research evidence record anthropic:21-10
- AI research evidence record anthropic:21-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-6
- AI research evidence record anthropic:23-5
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:21-11
- AI research evidence record anthropic:23-4
- AI research evidence record anthropic:23-6
- AI research evidence record anthropic:19-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:23-5
- AI research evidence record anthropic:41-14
- AI research evidence record kimi:pennmutual-accumulation
- AI research evidence record kimi:newyorklife-whole-life
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c3
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:41-14
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:2-1
- AI research evidence record openai:c4
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record deepseek:c3
- AI research evidence record kimi:insuranceandestates-massmutual
- AI research evidence record openai:c7
- AI research evidence record anthropic:23-6
Verify this research
Check when the research was run, which platforms were included, and what supports the findings.
- Study date
- September 20, 2026
- Platforms analyzed
- 7
- Source records
- 36
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #8
Behind the findings
Platforms in this study
- ChatGPT
- Claude
- DeepSeek
- Grok
- Perplexity
- Kimi
- Gemini
Source records
16 independent · 16 company-owned · 4 unclear
Evidence support
28 direct · 7 partial
Keep in mind
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Technical verification details
Use this SHA-256 fingerprint to identify the source snapshot associated with this study.
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