Picking a pentest company for an AI-first SaaS startup in 2026 is harder than the marketing pages suggest. Ten vendors are active in the global market for AI-first SaaS founders, the delivery models range from boutique founder-led to PTaaS to enterprise to bug-bounty hybrid, published prices in this set span roughly USD 800 to USD 21,000+ per engagement or annual subscription, with several vendors quote-only, and AI-specific scope (LLM Top 10 2025, prompt-injection chains, MCP servers, RAG pipelines, AI agents) is unevenly covered. This guide profiles 10 vendors AI-first SaaS founders actually evaluate, with persona-fit recommendations for pre-Series-A through Series-B. Cybersecify publishes its pricing transparently: Startup Pentest INR 74,999 (around USD 790 at August 2026 rates) and Growth Pentest INR 1,79,999 (around USD 1,890) with a public SOC 2 and ISO 27001 ready sample report for verification before any scoping call.
Key findings
- AI-specific scope is the new differentiator. Mapping pentest to OWASP Top 10 for LLM Applications 2025 and OWASP API Security Top 10 (2023) separates vendors that test the 2025 attack surface from vendors marketing AI pentest with a 2022 mental model.
- Best is persona-dependent. No single vendor wins for every AI-first SaaS founder. The right pick depends on funding stage, customer geography, AI surface area (LLM-only vs agent + MCP + RAG), and procurement style.
- Cybersecify Startup INR 74,999 (around USD 790) and Growth INR 1,79,999 (around USD 1,890) sit in the boutique founder-led tier with named lead tester (Rathnakara GN, OSCP), OWASP WSTG v4.2 plus OWASP LLM Top 10 2025 plus OWASP API Top 10 methodology, 1 free retest included, and a public sample report.
- PTaaS vs boutique vs enterprise is a procurement style choice, not a quality gradient. Cobalt.io, BreachLock, Bugcrowd, HackerOne, and Astra fit dashboard-driven recurring cadence. Cybersecify, Software Secured, DeepStrike fit point-in-time founder-led engagements. NCC Group and CyberCX fit enterprise procurement with PMO overhead built in.
- Bug bounty (HackerOne, Bugcrowd) is complementary to pentest, not a substitute. Auditors and enterprise security questionnaires typically require a pentest report; bug bounty is a continuous discovery program that follows the first pentest, not a replacement for it.
- USD billing creates FX exposure for India-anchored SaaS. Cobalt.io, BreachLock, HackerOne, and Bugcrowd price in USD. For India-headquartered AI SaaS with INR revenue, an India-billed vendor reduces FX volatility on annual contracts and retest billing.
- Sample report review is the single highest-signal pre-purchase check. Any vendor unable or unwilling to share a sanitized prior report is asking the founder to buy unverified deliverable quality. Cybersecify publishes its sample report publicly.
How we ranked these
This is a fit-to-persona mapping for AI-first SaaS founders, not a quality leaderboard. The global pentest market has hundreds of active vendors; the 10 below cover the delivery-model spectrum (boutique founder-led, boutique PTaaS, PTaaS distributed tester pool, PTaaS plus bug bounty, agentic-AI pentest, enterprise consulting) that an AI-first SaaS founder will encounter when evaluating vendors in 2026. Four criteria drove inclusion and ordering:
- AI-specific scope clarity. Does the vendor name OWASP Top 10 for LLM Applications 2025 explicitly? Are AI agent, MCP server, RAG pipeline, and prompt-injection chain testing in scope, or is “AI pentest” a marketing label on a generic web pentest? Vendors with vague AI scope language were either flagged or rolled into broader profiles.
- Methodology disclosure and audit acceptance. Does the vendor name its methodology (OWASP WSTG v4.2, OWASP API Top 10, OWASP LLM Top 10 2025, PTES, NIST SP 800-115) and produce reports accepted by SOC 2 and ISO 27001 auditors plus customer security questionnaires?
- Persona fit clarity. Each vendor profile names the specific founder persona it fits (pre-Series-A through Series-B, dashboard-driven vs founder-led, US-billed vs INR-billed, AI-first specialty vs generalist).
- Delivery model differentiation. The 10 vendors cover the procurement-model range. Within each model, the vendor named is representative of its archetype.
Cybersecify is listed first because AI-first and API-first SaaS pentest is our specific focus, our pricing is published, and our sample report is public. This is the standard self-inclusion every comparable vendor listicle uses. The other 9 entries are arranged by delivery model proximity to Cybersecify (boutique first, PTaaS next, enterprise last).
The 10 companies
1. Cybersecify (boutique founder-led, Bengaluru India, AI-first specialty)
Why an AI-first SaaS founder picks Cybersecify first: founder-to-founder scoping with both co-founders on every engagement, AI agent + MCP + RAG + prompt-injection pentest scope mapped to OWASP LLM Top 10 2025 plus OWASP API Top 10, published INR sticker pricing with USD equivalent, free retest included, Letter of Attestation as a standard deliverable on the Growth plan, and our open-source OpenEASD external attack surface discovery tool for free pre-engagement reconnaissance.
- Headquarters: Bengaluru (Bangalore), India. India entity, INR billing with GST input credit for India clients, USD equivalent on the website for international founders.
- Delivery model: boutique founder-led. Both co-founders deliver every engagement personally. Rathnakara GN (M.Sc Cyber Security, OSCP) leads pentest delivery. Ashok Kamat handles scoping, consulting, and compliance mapping. Founder strategic ownership of the pentest line is active through September 2026.
- Published pricing: Startup Pentest INR 74,999 + taxes (around USD 790, 1 scope, 5 business days, a report your auditor can use as evidence). Growth Pentest INR 1,79,999 + taxes (around USD $2,180, 2 scopes, 10 business days, SOC 2 + ISO 27001 audit prep, Letter of Attestation, real-world attack simulation beyond OWASP Top 10). Additional scopes INR 74,999 each on the Growth plan (up to 3 tested in parallel to compress the timeline; 5 or more move to a custom scoping proposal).
- AI-specific scope: AI agent pentest, Model Context Protocol (MCP) server pentest, Retrieval-Augmented Generation (RAG) pipeline pentest, prompt-injection chain testing, LLM Top 10 2025 mapping (LLM01 through LLM10), AI API surface testing under OWASP API Security Top 10 (2023).
- Methodology: OWASP WSTG v4.2, OWASP API Security Top 10 (2023), OWASP Top 10 for LLM Applications 2025, OWASP MASTG (mobile), PTES (Penetration Testing Execution Standard), NIST SP 800-115.
- Retest: 1 full retest included free within one month of the v1.0 report, on both Startup and Growth plans.
- Sample report: SOC 2 + ISO 27001 ready pentest report published publicly with no email gate.
- Open-source tool: OpenEASD free external attack surface discovery tool, free hosted snapshot via the website plus self-hosting via GitHub.
- Persona fit: pre-Series-A through Series-B AI-first or API-first SaaS founders facing a customer security questionnaire, a first SOC 2 or ISO 27001 push, or an investor diligence call. Geographic fit covers India-headquartered SaaS, US-headquartered SaaS with India operations, EU and AU-headquartered SaaS founders that want a transparent INR price with USD equivalent, and Hong Kong / Singapore SaaS founders evaluating India boutique alternatives to US PTaaS. Strong fit when AI surface area (LLM, agent, MCP, RAG) is a primary scope element rather than an add-on.
For a founder-to-founder scoping conversation, book a free 30-min call. For pricing, see Cybersecify Pentest Pricing. For deliverable verification before any scoping call, read the pentest report sample. For free pre-engagement external attack surface discovery, run OpenEASD.
2. Software Secured (boutique PTaaS, Ottawa Canada, AI prompt-injection scope)
- Headquarters: Ottawa, Ontario, Canada. Canadian entity, founded 2010.
- Delivery model: boutique manual penetration testing with PTaaS dashboard layer. Full-time Canadian penetration testers. Custom methodology mapped to OWASP Top 10, SANS Top 25, OWASP WSTG, OWASP ASVS, and NIST.
- Pricing: published. As of August 2026 softwaresecured.com/pricing lists starting prices including Web and API pentesting from USD 10,800, internal network from USD 7,700, external network from USD 5,400, mobile from USD 5,400, secure code review from USD 9,300, cloud from USD 6,200, threat modelling from USD 12,400, and PTaaS from USD 21,400.
- AI-specific scope: advertises AI prompt-injection testing as part of their AI, IoT, and hardware specialty. AI-powered conversational chatbot product for engineer-facing remediation guidance.
- Methodology: OWASP-aligned with explicit framework mapping. Manual testing emphasis as positioning against automated alternatives.
- Persona fit: Series A through Series B B2B SaaS founders that want a Canadian-incorporated vendor for North American procurement workflows, plus PTaaS dashboard continuity across engagements. Reasonable AI scope for prompt-injection testing on LLM features. As with any vendor, request a sample LLM finding before scoping if AI is a primary requirement.
3. DeepStrike (boutique manual pentest, Newark Delaware USA)
- Headquarters: Newark, Delaware, USA. Additional office in Dubai, UAE.
- Delivery model: boutique manual penetration testing positioned against automated alternatives. Proprietary DeepStrike Dashboard for tracking findings and continuous testing access.
- Pricing: quote-based per engagement. No list prices on deepstrike.io as of August 2026.
- AI-specific scope: not explicitly marketed as an AI pentest specialty on the public site. AI testing is in scope if explicitly requested during scoping.
- Methodology: OWASP-aligned per their website. Manual depth emphasis.
- Persona fit: Series A through Series B SaaS founders that want US-incorporated boutique manual testing with a US AP ledger entry, plus a dashboard for tracking findings across engagements. AI-first SaaS founders should verify AI scope explicitly during scoping and request a sample finding before signing.
4. Cobalt.io (PTaaS distributed tester pool, San Francisco USA)
- Headquarters: San Francisco, California, USA. Additional offices in Berlin and London. Remote-first.
- Delivery model: PTaaS pioneer (founded 2013). Uses the Cobalt Core, a distributed pool of vetted certified freelance pentesters. Different lead tester each engagement is typical because of the distributed pool model. Dashboard-managed scheduling and report delivery.
- Pricing: annual Cobalt Credit consumption model (1 credit equals around 8 pentest hours) across three tiers (Standard, Premium, Enterprise), quoted per credit package. Separately, cobalt.io/platform/pricing publishes USD 3,500 per test for its Autonomous Pentest as of August 2026. USD billing only.
- AI-specific scope: not a public service line. AI surface testing is delivered if scoped that way using Cobalt Core testers with relevant skills.
- Methodology: OSCP and OSCE-level certified Cobalt Core pentesters. OWASP-aligned per their public methodology disclosure.
- Persona fit: Series B+ AI SaaS with USD revenue, US enterprise customers preferring US-billed vendors on their AP ledger, and continuous quarterly engagement cadence (multi-pentest annual commitment justifies the credit-package economics). Less suited for India-headquartered AI SaaS with INR revenue where FX exposure on annual USD contracts and retest billing erodes the price-quality math.
5. BreachLock (PTaaS + AI-powered testing, New York USA + Amsterdam)
- Headquarters: New York, USA. Additional office in Amsterdam, Netherlands.
- Delivery model: PTaaS combined with managed services. Markets autonomous AI-powered testing alongside certified manual penetration testing. Positions as hybrid SaaS-plus-services rather than traditional boutique.
- Pricing: sales-call required for PTaaS subscription pricing. USD billing. Subscription typically requires multi-engagement annual commitment.
- AI-specific scope: autonomous AI-powered testing as a marketed product line. Specific OWASP LLM Top 10 2025 coverage requires verification during scoping.
- Methodology: named on their website. Hybrid manual plus AI-powered testing.
- Persona fit: Series B+ AI SaaS that want PTaaS dashboard continuity across multiple engagements plus AI-powered scanning between manual tests, and a US-incorporated vendor name for US enterprise procurement workflows. Less suited for first-pentest Series A SaaS where a single point-in-time engagement is the actual need.
6. Bugcrowd (PTaaS + bug bounty hybrid, San Francisco USA + Sydney + London)
- Headquarters: San Francisco, USA. Additional offices in Sydney and London.
- Delivery model: combined bug bounty platform plus PTaaS. Click-to-launch PTaaS workflow that takes a customer from purchase to live test in hours. Curated tester team matched to environment. CREST-accredited for PTaaS.
- Pricing: click-to-launch with quote-based pricing per engagement. Subscription-style for bug bounty programs separately. USD billing.
- AI-specific scope: AI surface testing is delivered if scoped that way through the platform. Bug bounty program scope can include AI/LLM features explicitly.
- Methodology: CREST-accredited PTaaS plus curated researcher community for bug bounty.
- Persona fit: Series B+ AI SaaS that wants both a continuous bug bounty discovery program and time-boxed pentest engagements through a single platform. Fits founders comfortable with crowdsourced tester pool models and platform-managed workflows. Less suited for AI SaaS that wants a single named lead tester accountable end-to-end.
7. HackerOne (bug bounty + agentic pentest + AI red teaming, San Francisco USA)
- Headquarters: San Francisco, USA. Additional offices in London and the Netherlands.
- Delivery model: bug bounty platform plus H1 Agentic Pentest (AI-driven pentesting product line) plus H1 Continuous Testing plus AI red teaming. As of late 2024, HackerOne network had paid over $230 million in bounties cumulatively.
- Pricing: quote-based per product line. USD billing. Bug bounty programs run on payout-per-finding model; H1 Agentic Pentest pricing is engagement-specific.
- AI-specific scope: AI red teaming is a discrete product line. H1 Agentic Pentest uses AI to scale pentest depth on broad attack surfaces. Both can be scoped against AI-feature surfaces.
- Methodology: AI red teaming methodology developed in-house. Agentic pentest combines AI scaling with human researcher community depth.
- Persona fit: Series B+ AI SaaS founders running a public or private bug bounty program alongside scheduled pentest, particularly with AI red teaming requirement. Strong fit for AI SaaS founders that have an existing security team capable of triaging bug bounty volume. Less suited for first-pentest Series A SaaS where bug bounty would flood the team with findings before remediation capacity exists.
8. NCC Group (enterprise assurance, Manchester UK, CHECK-accredited)
- Headquarters: Manchester, United Kingdom. 35+ offices globally. 2,000+ staff. 15,000+ clients.
- Delivery model: enterprise information assurance firm. Largest CHECK pentest team in the UK (NCSC’s CHECK scheme). Specialist services including Intelligence-Led / Threat-Led Penetration Testing (ILPT/TLPT) and Full Spectrum Attack Simulation.
- Pricing: not public. Quote-based per engagement. Enterprise pricing scale. Multi-week, multi-scope engagement model with PMO overhead built into the cost.
- AI-specific scope: managed services use AI and machine learning internally via their Unified Cyber Platform. Specific AI/LLM pentest service line is not heavily marketed on the public site.
- Methodology: CHECK-accredited (NCSC). Multi-framework methodology coverage. Strong reputation in regulated sectors (financial services, government, critical infrastructure).
- Persona fit: Series C+ AI SaaS with multi-product, multi-environment scope; regulated-sector AI products (financial services, healthcare, government); UK and EU enterprise procurement workflows that require brand-name vendors on the approved vendor list. More structure and more cost than a Series A AI SaaS with one or two production applications needs.
9. Astra Security (PTaaS continuous platform, New Delhi India, Attack AI engine)
- Headquarters: New Delhi (Dwarka Sector-7), India. Founded 2018 by Shikhil Sharma and Ananda Krishna. Operates with US and India entities.
- Delivery model: continuous pentest platform powered by an internal offensive scanning engine called Attack AI. Hacker-style pentesting plus AI-powered threat modeling plus end-to-end vulnerability management. Real-time collaboration with pentesters. Integrations with JIRA, Slack, and CI/CD tools. 1,000+ companies across 70+ countries.
- Pricing: published. As of August 2026 getastra.com/pricing lists Pentest Basic at USD 1,999 per year and Pentest Plus at USD 5,999 per year, with Enterprise quote-based. Scanner and API-security tiers are priced separately, including low-cost trial entry points.
- AI-specific scope: Attack AI is an offensive scanning engine, not specifically OWASP LLM Top 10 2025 mapping. AI/LLM-feature pentest scope requires verification during scoping.
- Methodology: OWASP and PTES-aligned per their website. Specific version disclosure varies.
- Persona fit: AI SaaS founders that want a dashboard-led recurring scanning experience alongside scheduled manual tests, and prefer a single platform for both scanning and pentest workflow. Strong fit for founders that want vulnerability tracking continuity across multiple engagement cycles. India-headquartered with global reach. Less suited for AI SaaS founders who prefer founder-to-founder direct engagement without a platform layer.
10. CyberCX (enterprise, Melbourne Australia, ~3,000 pentests per year)
- Headquarters: Melbourne, Victoria, Australia. Offices across Sydney, Brisbane, Adelaide, Perth, Canberra, Darwin, Hobart, plus international expansion. 1,400 staff.
- Delivery model: enterprise cyber security services firm. Around 3,000 penetration tests per year delivered by their certified testing team. Mixed boutique and enterprise scope. Strong presence in Australia and New Zealand enterprise and government sectors.
- Pricing: not public. Quote-based per engagement. Enterprise pricing scale.
- AI-specific scope: broad pentest scope. AI-specific service line is not heavily marketed publicly.
- Methodology: broad framework coverage. Strong regional reputation.
- Persona fit: Series B+ AI SaaS with Australia / New Zealand market presence, AU/NZ enterprise customers, and procurement preference for a region-incorporated enterprise vendor. Less suited for early-stage AI SaaS outside the AU/NZ region or for founders wanting boutique founder-led engagement.
Decision matrix per persona
Prices below are shown only where the vendor publishes them, as of August 2026. Where a vendor quotes per engagement, that is what the column says.
| Persona | Recommended pick | Published price |
|---|---|---|
| Pre-Series-A AI SaaS, 1 app, customer security questionnaire | Cybersecify Startup Pentest (boutique founder-led with AI scope) | INR 74,999, around USD 790 |
| Series A AI SaaS, 1 to 2 apps, first SOC 2 / ISO 27001 push | Cybersecify Growth Pentest (boutique with audit prep + AI scope), or Software Secured | Cybersecify INR 1,79,999, around USD 1,890; Software Secured Web and API from USD 10,800 |
| Series B+ AI SaaS, multi-product, multi-environment, USD billing acceptable | Cobalt.io, BreachLock, or Bugcrowd PTaaS for dashboard cadence | Cobalt Autonomous Pentest USD 3,500 per test; subscription tiers quote-based |
| Series B+ AI SaaS running bug bounty alongside pentest | HackerOne or Bugcrowd (combined bug bounty + pentest workflow) | Quote-based |
| Enterprise AI SaaS or regulated AI product, UK / EU procurement | NCC Group (CHECK-accredited, enterprise scope) | Quote-based |
| Enterprise AI SaaS, AU / NZ procurement | CyberCX (region-incorporated enterprise vendor) | Quote-based |
| India-headquartered AI SaaS, INR billing preferred | Cybersecify or Astra Security (both India entity) | Cybersecify INR 74,999 / INR 1,79,999; Astra Pentest Basic USD 1,999/yr, Plus USD 5,999/yr |
| US-headquartered AI SaaS, US AP ledger requirement | Cobalt.io, BreachLock, HackerOne, Bugcrowd (US-incorporated) | Cobalt USD 3,500 per Autonomous Pentest; the rest quote-based |
| AI SaaS with primary LLM Top 10 2025 + agent + MCP + RAG scope | Cybersecify (AI-first specialty as named service line) | INR 74,999 to INR 1,79,999, around USD 790 to USD 1,890 |
5 anti-patterns AI-first SaaS founders fall into when picking a pentest vendor
Anti-pattern 1: Treating “AI pentest” as a marketing label, not a scope question
A founder sees “AI security testing” on a vendor’s homepage and assumes the vendor will test their LLM features against OWASP Top 10 for LLM Applications 2025. The actual engagement returns a web pentest report with no prompt-injection findings, no system-prompt leakage check, no excessive-agency analysis on the agent, and no vector-and-embedding weakness coverage on the RAG pipeline. The vendor delivered exactly what they sell: web pentest with “AI” in the marketing copy. The fix: ask any vendor to name the OWASP LLM Top 10 2025 risks they test against (LLM01 through LLM10), and request a sanitized sample LLM or AI agent finding from a prior engagement. Vendors that cannot do this are not testing the 2025 AI attack surface.
Anti-pattern 2: Picking US-incorporated PTaaS by default when the customer did not require it
A US enterprise customer asks for “a pentest report.” The founder reads PTaaS marketing pages and assumes the customer wants a US-incorporated PTaaS vendor specifically. The founder commits to a multi-year PTaaS subscription when a single audit-acceptable pentest report from a boutique vendor at under USD 2,000 would have satisfied the customer requirement. The fix: ask the US enterprise customer whether the requirement is a US-incorporated vendor specifically, or an audit-acceptable pentest report from any reputable vendor with a public sample. The latter is far more common; the former is procurement preference, not a security requirement.
Anti-pattern 3: Buying bug bounty before the first pentest exists
A Series A AI SaaS founder reads HackerOne or Bugcrowd marketing pages and assumes a bug bounty program is the right starting point. The founder launches a public program before establishing a pentest baseline; researchers flood the program with low-severity findings; the engineering team has no triage capacity; the program goes dormant within 90 days. The fix: pentest first, bug bounty after. The pentest produces a single audit-acceptable report that satisfies the customer questionnaire, and the remediation work establishes the baseline that makes a bug bounty program economically rational on continuous follow-up findings.
Anti-pattern 4: Skipping the sample report review before signing
A vendor unable or unwilling to share a sanitized prior report under NDA is asking the founder to buy unverified deliverable quality. The published sample is the lowest-friction way to read a vendor’s executive summary tone, technical depth, reproduction step quality, and remediation guidance. For AI-first SaaS, this also surfaces whether the vendor has ever produced an LLM, agent, MCP, or RAG-specific finding. Cybersecify publishes its pentest report sample publicly precisely because the founder-led commitment requires that the deliverable matches the marketing claim. Before signing with any vendor, read at least one sample report end-to-end and verify it includes per-finding reproduction steps, business impact in plain language, framework mapping if compliance-relevant, and remediation guidance specific to the stack.
Anti-pattern 5: Confusing PTaaS subscription cost with point-in-time engagement cost
A founder comparing Cobalt.io credit packages, BreachLock annual subscriptions, or Bugcrowd PTaaS workflows against boutique point-in-time engagements is comparing two different procurement models. PTaaS subscriptions are usually sold as an annual commitment covering multiple engagements, and amortize across continuous scanning plus scheduled manual tests. Most PTaaS vendors do not publish the annual figure; Software Secured is an exception, listing PTaaS from USD 21,400. A point-in-time boutique engagement (Cybersecify Startup around USD 790 or Growth around USD 1,890, or a DeepStrike manual pentest) is a single engagement deliverable with no annual commitment. PTaaS economics fit Series B+ AI SaaS with continuous engagement cadence. Point-in-time engagements fit Series A AI SaaS with first-pentest or annual-pentest cadence. Picking PTaaS for a once-a-year need is overbuying. The fix: match procurement model to engagement cadence.
Sharp recommendations
If you are a pre-Series-A to Series-A AI-first SaaS founder and a customer or investor has asked for a pentest report, narrow the universe fast using the AI-scope filter, the audit-acceptance filter, and the sample-report filter. Pick a boutique founder-led firm with published pricing, the OSCP standard on the lead tester, OWASP LLM Top 10 2025 mapping named explicitly, a public sample report, and a named lead tester. Cybersecify fits this persona for AI-first SaaS specifically; Software Secured and DeepStrike are adjacent boutique alternatives worth comparing on AI scope clarity and sample report review.
If your customer is a US enterprise that asked for “a pentest report,” ask whether they require a US-incorporated vendor specifically or simply an audit-acceptable report from any reputable vendor. Most ask for the latter. Buying a multi-engagement PTaaS subscription to satisfy a single-report need is overbuying driven by procurement-preference assumptions.
If you are evaluating PTaaS vendors (Cobalt.io, BreachLock, Bugcrowd, Astra, HackerOne agentic pentest), match the procurement model to your actual engagement cadence. PTaaS subscriptions fit continuous quarterly or monthly cadence requirements; they are overkill for first-pentest or annual-pentest needs where a point-in-time boutique engagement delivers equivalent depth at a fraction of the annual commitment. Verify the AI-specific scope (OWASP LLM Top 10 2025 mapping, prompt-injection chain testing, MCP/RAG coverage) by asking for a sanitized sample LLM finding before signing.
If you are running an AI bug bounty program or planning to launch one, sequence pentest first and bug bounty second. The pentest produces a single audit-acceptable report; the bug bounty program runs continuously on top of the baseline. Reversing the sequence floods the bug bounty program with findings before the team has triage capacity, and the program goes dormant within 90 days.
If you are an India-headquartered AI SaaS founder with INR revenue and most customers also INR-billed, the FX exposure of USD-billed PTaaS subscriptions erodes the price-quality math on annual commitments and retest billing. India-billed boutique alternatives (Cybersecify) or India-headquartered PTaaS (Astra) deliver equivalent methodology depth at INR billing with GST input credit.
Where to go from here
If you are evaluating pentest companies for your AI-first SaaS startup and want a transparent founder-to-founder scoping conversation, book a free 30-min call. We will walk your stack (framework, hosting, AI surface area including LLM features + agents + MCP servers + RAG pipelines, compliance pressure), recommend Startup vs Growth scope, and tell you honestly if Cybersecify is the right fit or if a PTaaS subscription, a US-incorporated boutique, or an enterprise vendor is more aligned with your buyer requirements.
For pricing in INR and USD equivalent, see Cybersecify Pentest Pricing. For the deliverable format auditors and enterprise security teams expect, see our SOC 2 + ISO 27001 ready pentest report sample. For pre-purchase verification of your own external attack surface, run a free OpenEASD scan to see what attackers see before any scoping call. For the AI-specific service line we run, see AI Application Penetration Testing and the related API Penetration Testing service.
Related
Top 10 Pentest Companies India 2026 (SaaS Focus), Best Pentest Vendors for SaaS Startups in India 2026, Pentest Cost India 2026: Plans + Pricing Guide, AI Application Penetration Testing: What We Test and Why, AI Application Pentest vs Web App Pentest, How to Pentest an AI Agent (Methodology 2026), Best AI Agent Security Testing Tools India 2026, API Pentest Methodology: REST, GraphQL, Webhooks 2026, How to Evaluate a Penetration Testing Firm, 5 Questions to Ask a Pentest Vendor Before Signing.
Corrections
- 2026-08-09: This post stated that Astra Security gated its pentest pricing behind a sales call and that Software Secured published no sticker prices. Both publish prices. Astra lists Pentest Basic at USD 1,999 per year and Pentest Plus at USD 5,999 per year (getastra.com/pricing); Software Secured lists eleven starting prices including Web and API from USD 10,800 and PTaaS from USD 21,400 (softwaresecured.com/pricing). Both verified 2026-08-09.
- 2026-08-09: Added Cobalt.io’s published USD 3,500 per Autonomous Pentest price (cobalt.io/platform/pricing), which the post previously described as quote-only.
- 2026-08-09: Removed unsourced price bands and multipliers for third-party vendors, including the enterprise “3 to 5x boutique rates” figure and the PTaaS annual-commitment ranges. The persona table now shows published prices only.
- 2026-08-09: Corrected USD equivalents of our own INR pricing to August 2026 rates: INR 74,999 is around USD 790 and INR 1,79,999 is around USD 1,890, replacing the stale USD 900 and USD 2,180 figures.