Mount is live · custom pricing · last verified 26 Oct 2026 · viability monitor
Mount
AI-native insurance carrier that scans your production AI agents for vulnerabilities, hardens them, and insures the residual risk.
If you have AI agents making decisions in production, Mount is worth a conversation that traditional cyber insurers like Coalition or Vouch cannot really have — those policies were not written around agent failure modes like retraining cost or runaway API spend. Mount's concrete advantages are the eight named AI risk categories in ActiveCover, the 48-hour activation window, and a free agent test that gives you a risk score before you talk to anyone. Run the free test first; the scan output alone tells you
Verdict generatedVerified 4d ago · liveness 58/100 · cite: rightaichoice.com/tools/mount
- AI-native startups with agents in production
- Enterprises needing continuous AI security monitoring plus insurance
- Companies wanting AI-specific cover beyond traditional cyber
- Risk and compliance teams managing agentic deployments
- Businesses with no AI agents deployed
- Teams buying traditional cyber insurance only
- Companies unwilling to accept continuous production monitoring
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- Real pros & cons from real users
- Attributed quotes with receipts
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Skip Mount if you have no AI agents in production yet, or if you are unwilling to let a continuous monitoring process observe your live agent environment — that visibility is how the risk score and the pricing are produced.
Pricing is dynamic on your scanned AI risk profile, so hardening your agent after binding may change what you pay at renewal
No public tiers or prices appear on the pricing page in this scrape, so we cannot position Mount against cheaper or pricier peers on cost. Functionally it sits alongside cyber carriers such as Coalition or Vouch, but it adds AI-specific risk categories those policies do not list. Budget conversations belong in underwriting.
In short
Mount — AI-native insurance carrier that scans your production AI agents for vulnerabilities, hardens them, and insures the residual risk. Best for AI-native startups with agents in production, Enterprises needing continuous AI security monitoring plus insurance, Companies wanting AI-specific cover beyond traditional cyber. Pricing is on request (custom quotes).
What is Mount?
Mount — AI-native insurance carrier that scans your production AI agents for vulnerabilities, hardens them, and insures the residual risk. Best for AI-native startups with agents in production, Enterprises needing continuous AI security monitoring plus insurance, Companies wanting AI-specific cover beyond traditional cyber. Pricing is on request (custom quotes).
Mount is an AI-native insurance carrier built for companies running AI agents in production. The workflow is assess, certify, and insure: a free test of your agent returns a real-time vulnerability scan and risk score, automated remediation recommendations and one-click security fixes harden it, and ActiveCover insurance can then be activated within 48 hours with pricing that reflects your actual AI risk rather than an annual questionnaire. ActiveCover covers eight named risk categories: first-party restoration and retraining, first-party business interruption, first-party incident response and regulatory costs, third-party harmful or infringing AI outputs, first-party runway usage and infrastructure overage, first-party incorrect funds transfer, third-party privacy and confidentiality breaches, and third-party service failure and negligence. Mount also provides 24/7 continuous monitoring and incident response, and it says it built these products in collaboration with established insurance players rather than as a standalone MGA experiment. The company identifies itself as a Y Combinator company. It suits CTOs, CFOs, general counsel and risk officers at AI-native startups and enterprises that already have agents in production and handling money, sensitive data, or customer-facing output — the cases traditional cyber policies were not written for.
Key features
- Real-time vulnerability scanning for deployed AI agents
- Risk scoring and risk dashboard
- Automated remediation recommendations
- One-click security fixes
- Continuous compliance analysis
- 24/7 continuous monitoring and incident response
- Insurance activation within 48 hours
- Dynamic pricing based on AI-specific risk
- First-party restoration and retraining cost coverage
- First-party business interruption coverage
- First-party incident response and regulatory costs coverage
- Third-party harmful or infringing AI outputs coverage
- First-party runway usage and infrastructure overage coverage
- First-party incorrect funds transfer coverage
- Third-party privacy and confidentiality breach coverage
Behind the verdict
Mount is doing something structurally different from most AI security vendors, and it is worth being precise about what that is. The market is full of scanners — you point a tool at your model or your agent and get a list of prompt-injection vectors and data-exposure findings. Mount does that part too: real-time vulnerability scanning of deployed agents, risk scoring, a risk dashboard, automated remediation recommendations and one-click security fixes, plus continuous compliance analysis. What makes it unusual is that the same company then writes the insurance. Scanning feeds underwriting, underwriting prices the policy, and remediation changes the price. That closed loop is the actual product. Where it earns its keep is the coverage list. Eight categories are named on the site, and several of them are the ones buyers discover are missing only after an incident: first-party restoration and retraining cost for corrupted data and models, first-party business interruption from AI-driven operational failure, first-party incident response and regulatory costs, third-party harmful or infringing AI outputs (IP infringement, defamation, harm), first-party runway usage and infrastructure overage when API spend spikes during a security event, first-party incorrect funds transfer from AI payment errors, third-party privacy and confidentiality breaches through AI systems or prompts, and third-party service failure and negligence claims. A standard cyber policy typically addresses the privacy-breach piece and not much else on that list. Strengths: the free test is a genuine low-commitment entry point, the 48-hour activation is fast for insurance, monitoring is continuous rather than annual, and pricing is described as dynamic on AI-specific risk, which is a real advantage if your posture is good. Working with established insurance players rather than going it alone matters for claims-paying credibility. Being a Y Combinator company is a weak signal for a regulated carrier but a decent one for pace of shipping. Weaknesses and unknowns, stated plainly: the pricing page in this scrape carries no tiers, no dollar figures and no plan names, so we cannot tell you what any of this costs. The docs and developer pages were not reached, so we cannot say how the scanning works, what it hooks into, whether there is an API, or how findings are delivered. There is no integrations or marketplace page in the scrape, so do not assume it plugs into your existing SIEM, ticketing, or cloud stack without asking. And the coverage categories are described at a heading level on the marketing site — you will need the actual policy wording and limits before you know what a claim pays. Where it fits: AI-native teams past the demo stage. If you have agents touching money, customer data, or public output, and your security review is a spreadsheet you update quarterly, the continuous posture plus coverage combination is a better match to how agents actually fail than an annual cyber
Limitations
- Mount describes its scanning, remediation and eight coverage categories at marketing level on the pages we reached.
- The pricing page in this scrape lists no tiers, no plan names and no dollar amounts, so cost is unknown from public content.
- The docs and developer pages were not reached, so we cannot characterise API availability, how scanning is deployed, or what the findings output looks like.
- No integrations or marketplace page appeared in the scrape, so do not assume existing SIEM, ticketing or cloud tooling connects.
- Coverage headings are not policy wording — limits, exclusions and deductibles will be set in underwriting and in the policy document, which you should read before relying on any single category.
as of 2026-09-23
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Is Mount still active?
Mount is live · custom pricing · last verified 26 Oct 2026 · viability monitor.
Viability score
How well maintained and how widely used is Mount? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →What do users say about Mount?
What people actually say about Mount — is it worth it?
Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Mount— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 26 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Mount 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed SSL certificate
- — changed description, who it suits, our verdict, features, hidden costs, limitations, switching in, switching out, who should skip it, pricing fit, setup time, summary, use cases
- — changed domain expiry
- — changed description
- — changed SSL certificate, pricing page, limitations
- — changed description, our verdict, setup time, switching in, switching out, who should skip it, pricing fit, hidden costs, features, summary
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Mount cost in 2026?
Mount: Pricing is on request (custom quotes). Pricing last verified 26 Oct 2026.
Where the pricing makes sense
The company stage and team size where Mount's pricing actually pencils out — and where peers do it cheaper.
No public tiers or prices appear on the pricing page in this scrape, so we cannot position Mount against cheaper or pricier peers on cost. Functionally it sits alongside cyber carriers such as Coalition or Vouch, but it adds AI-specific risk categories those policies do not list. Budget conversations belong in underwriting.
Has Mount's pricing changed?
No plan price for Mount has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Mount?
Pick Mount if you are AI-native startups with agents in production, Enterprises needing continuous AI security monitoring plus insurance, Companies wanting AI-specific cover beyond traditional cyber, Risk and compliance teams managing agentic deployments.
Look elsewhere if you are Businesses with no AI agents deployed, Teams buying traditional cyber insurance only, Companies unwilling to accept continuous production monitoring.
Skip it if Skip Mount if you have no AI agents in production yet, or if you are unwilling to let a continuous monitoring process observe your live agent environment — that visibility is how the risk score and the pricing are produced.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Mount actually fits — and what changes day-one when you adopt it.
You have an agent handling customer refunds in production and no idea how it fails. You run the free agent test, get a vulnerability scan and risk score, apply the one-click fixes it recommends, and re-scan.
Outcome: You have a documented risk score and a remediation trail you can show a customer's security review, plus a quote path if they demand insurance.
Two agents touch payments and internal data. You want the AI-specific exposures — incorrect funds transfer, runway usage and infrastructure overage — covered without waiting for the annual cyber renewal.
Outcome: ActiveCover activated within 48 hours with pricing tied to the scanned risk profile rather than a generic cyber questionnaire.
A customer asks what happens if your agent produces infringing or defamatory output. You need third-party coverage and a regulatory-cost answer, not just an internal policy document.
Outcome: Named coverage categories for third-party harmful or infringing outputs, privacy breaches, service failure and incident response costs, backed by 24/7 monitoring.
Use cases
- Run a free scan on a production agent and get a risk score before buying coverage
- Harden an agent with one-click fixes and re-scan to see the score improve
- Activate ActiveCover for eight named AI risk categories within 48 hours
- Cover the cost of restoring corrupted data and retraining models after an incident
- Insure against runaway API and infrastructure spend during a security event
- Get coverage for third-party claims over AI outputs that infringe IP or defame
- Put AI-specific risk on the agenda for a CFO or general counsel review
Setup time & first value
How long it actually takes to get something useful out of Mount — broken out by persona, not the marketing-page minute.
Expect minutes to kick off the free agent test and get a first risk score, then days rather than weeks to work through remediation before ActiveCover can activate — Mount quotes 48-hour activation once risk is understood. Underwriting and policy issuance run on the insurer's timeline, so budget more if your agent touches payments or regulated data.
Switching to or from Mount
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From an annual cyber policy: keep the cyber cover for classic exposures and add Mount for the eight AI-specific risk categories it names
- →From unaided internal scanning: replace spreadsheet-tracked findings with the free agent test and its risk score as the baseline
- →From a point-solution AI scanner: use scanning plus remediation plus coverage in one place instead of buying scanning and insurance separately
- ↗To Coalition or Vouch: straightforward if you decide you only want traditional cyber cover and do not need AI-specific categories
- ↗To a standalone AI security scanner: you keep the scanning and remediation and drop the insurance layer
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Mount”, and we withheld 6: 6 could not be judged, because “Mount” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Mount.
Official links
What are the best Mount alternatives?
The closest alternatives to Mount we list are Mindgard, Coalition and Tessl. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Mindgard | Contact Sales | Custom pricing | — |
| Coalition | Contact Sales | Custom pricing | — |
| Tessl | Freemium | Pricing not published | — |
Alternatives to Mount
View all
Mindgard
Mindgard is AI red teaming that reconnoiters, exploits, and retests vulnerabilities in production AI agents and models.
Tools that pair well with Mount
Common stack mates teams adopt alongside Mount, with the specific reason each pairing earns its keep.
Mindgard
Mindgard is AI red teaming that reconnoiters, exploits, and retests vulnerabilities in production AI agents and models.
Coalition
Cyber insurance and AI coverage bundled with millisecond-speed automated detection and response for SMEs, enterprises, brokers, and MSPs.
Tessl
Agent enablement platform that versions, scans and evaluates the skills your coding agents run.
Mount vs its closest rival
Mount's closest head-to-head is with Audioeye — AudioEye is for organizations mandated to fix web accessibility fast—enterprises facing lawsuits, e‑commerce sites, or anyone needing VPAT documentation. Mount is for AI‑native teams that have deployed autonomous agents and require both security scanning and insurance tailored to AI risks. They solve different problems; pick AudioEye if compliance pressure is on accessibility, pick Mount if you need to secure and insure AI agents. Verdict generated
Head-to-head comparisons
Mount vs Audioeye
AudioEye is for organizations mandated to fix web accessibility fast—enterprises facing lawsuits, e‑commerce sites, or anyone needing VPAT documentation. Mount is for AI‑native teams that have deployed autonomous agents and require both security scanning and insurance tailored to AI risks. They solve different problems; pick AudioEye if compliance pressure is on accessibility, pick Mount if you need to secure and insure AI agents.
GeneratedMount vs Sublime Security
Sublime Security and Mount serve entirely different markets: Sublime is for enterprise email security teams facing advanced phishing and BEC, while Mount insures and secures AI agents. There is no overlap — choose based on whether your risk is email-based or agent-based. Both have contact-only pricing, so total cost is opaque.
GeneratedMount vs Push Security
If your immediate need is to stop browser-based attacks (AiTM phishing, session hijacking, AI tool data leaks) and gain visibility across browsers, Push Security delivers proven real-time controls and AI-powered threat hunting. If you're deploying AI agents in production and need both security scanning and insurance coverage for agentic risks, Mount offers a unique combo of monitoring and financial protection. Choose Push for comprehensive browser security today; choose Mount to insure and secure your autonomous systems.
GeneratedFrequently asked questions
Topics
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