All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
Arnica sells an application security platform to companies that build software. It connects to code repositories such as GitHub and scans for vulnerabilities, secrets and risky dependencies with no pipeline changes. Its AI SAST checks code for security flaws without running it, using fixed rules plus AI models. Its Agentic Rules Enforcer injects secure-coding rules into AI coding agents as they write code. Those agents’ makers could add the same enforcement themselves. Founded in 2021, it raised a $7 million seed round in 2022 led by Joule Ventures and First Rays Venture Partners. Arnica says more than 100 companies trust it and presents Finastra and N-able as customers. Customers set their merge-blocking policies in Arnica, and a customer that leaves would have to rebuild them elsewhere.
| Description | Pipelineless application security platform that scans code in real time for SAST, SCA, IaC, and hardcoded secrets, and enforces secure-coding rules inside AI coding agents to govern the AI development lifecycle. | [f1] |
|---|---|---|
| Founded | 2021 | [f2] |
| HQ | Atlanta, Georgia, United States | [f2] |
| Latest funding | Seed ($7M, Oct 2022, led by Joule Ventures and First Rays Venture Partners) | [f3] |
| Deployment | SaaS, Self-hosted | [f4] |
| Compliance | ISO 27001, SOC 2 Type 2 | [f4] |
| Product | What it does |
|---|---|
| Arnica Application Security Platform | Pipelineless ASPM with real-time SAST, SCA, IaC, SBOM, package reputation, license scanning, and secret detection across every repository and branch. |
| AI SAST | Static analysis that combines deterministic SAST rules with AI to read code context, intent, and behavior, cutting false positives while scanning every repo, branch, and commit. |
| Agentic Rules Enforcer | Injects version-controlled secure-coding rules into AI coding agents like Copilot, Cursor, and Claude so insecure code is prevented at generation rather than caught later. |
| Arnie AI | Multi-agent security suite that monitors code at generation, push, and review, routes each risk to its owner, and proposes context-aware remediations. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Coding and Orchestration Tools AI coding tools and agentic orchestration tools on user devices, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Traffic Paths to external and self-hosted AI services, MCP tool channels, agent-to-agent calls, model-registry downloads, and egress to unapproved AI services. AI gateways, LLM routers, and MCP gateways steer traffic along those paths. The steering decisions and their inputs belong here too: routing policies, MCP server registries, and agent naming and discovery services. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, an AI bill of materials (AIBOM), and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
The AI SAST, Agentic Rules Enforcer, and Arnie lines defend code produced by AI coding agents, enforcing secure-coding rules at generation and flagging insecure AI-written patterns. These lines are mapped to the AI Defense Matrix. [f5]
Cyber Defense Matrix
| Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|
| Devices Workstations, servers, phones, tablets, storage, network devices, IoT infrastructure, and similar hardware. | |||||
| Applications Software, interactions, and application flows on the devices. | |||||
| Networks Connections and traffic flowing among devices and apps, plus communication paths. | |||||
| Data Content at rest, in transit, or in use across devices, apps, and networks. | |||||
| Users The people using the devices, apps, networks, and data. |
The Arnica Application Security Platform inventories and scans conventional application code and dependencies and detects and mitigates hardcoded secrets, using machine learning as a method. It is mapped to the Cyber Defense Matrix. [f6]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score | Rationale |
|---|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 | Arnica names the application security team as its buyer and describes two pains: scanners that flood teams with alerts lacking context, and AI coding agents that produce insecure code unless guardrails are enforced. ChannelLife’s coverage of the Arnie AI launch describes the same risk of insecure AI-generated code reaching production. No reviewed source quantifies either pain independently, so the problem is clear and still vendor-framed. [s2, s3, s4, s22] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | Arnica’s pages document specific mechanics: deterministic static analysis paired with AI models, scans on push, nightly or on demand, reachability analysis for dependency findings, merge-blocking pull request policies, and version-controlled rules injected into AI coding agents. The outside view is an AppSec Santa review that describes the product’s features, and customer accounts on Arnica’s site describe N-able’s evaluation and deployment. Neither source is an independent benchmark of the capability, so the cited evidence documents capability detail without an external validation point. [s2, s3, s4, s7, s10, s23] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 | The enabler is AI coding agents writing production code: ChannelLife dated Arnica’s launch of AI SAST and the Agentic Rules Enforcer to November 2025 and tied it to AI tools generating code at speed. The buyer-side signals in the reviewed sources are an Omdia analyst’s comment quoted in that launch coverage and analyst mentions Arnica displays, which is indirect evidence rather than several independent demand signals. [s22, s4, s13, s20] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | SecurityWeek identifies Nir Valtman as Arnica’s co-founder and chief executive, and his SANS Institute contributor profile says he led product and data security at Finastra, served as CISO at Kabbage and headed application security at NCR. Those are senior in-domain roles described in a contributor biography, and the reviewed sources do not document a product he built or a company he sold, so Valtman has verifiable relevant experience. [s14, s28, s12] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 3/5 | Arnica publishes case studies for Finastra and N-able, its case-study index adds Complete Genomics, FullStory, Lemonade and ITS Inc., and its homepage says more than 100 companies trust it. The named customers, the count, and the Gartner Peer Insights and G2 ratings all appear on Arnica’s own pages. The cited sources contain no independent confirmation of the reported customer count. [s9, s10, s19, s1] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | Arnica announced a 7 million dollar seed round led by Joule Ventures and First Rays Venture Partners in October 2022. It has since launched AI SAST and the Agentic Rules Enforcer and published Free, Business and Enterprise plans. The disclosed raise appears proportional to the published product and sales plans. The reviewed sources disclose no revenue, customer growth or later round, so capital efficiency remains unconfirmed. [s11, s14, s12, s22, s7] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 4/5 | Arnica fits application security posture management and software supply chain security, and outsiders place it there: TechCrunch and SecurityWeek covered it as a software supply chain security startup, and AppSec Santa reviews it as a dependency-scanning platform connected directly to source-code repositories. Arnica’s site adds a Major Player placement in the IDC MarketScape for ASPM and Gartner 2025 Hype Cycle mentions, which are vendor-displayed and so support placement rather than a category-defining position. [s12, s14, s23, s20, s13] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | Customers build workflow inside Arnica: N-able blocks pull requests only on priorities it defined in Arnica’s policy engine and mirrors its written license policies there, and Finastra requires review of dismissals for some products. That configuration adds friction to absorption. Arnica runs on source-code platforms and AI coding agents other companies make, and the reviewed sources describe no data flywheel or procurement lock, so they evidence no structural moat. [s10, s9, s4, s8] |
Arnica sells to application security teams that have to find and fix code risks without slowing developers. Its application security posture management page describes scanners that generate thousands of alerts without the context to show which risks matter or who should fix them. Arnica answers with an inventory of every identity, asset and risk in the development environment.
Arnica now frames the same problem around AI-generated code. Its homepage opens with governing the AI development lifecycle, and its Agentic Rules Enforcer page argues that AI models trained on public code produce insecure output by default unless guardrails are enforced. When Arnica announced its seed round in October 2022, it described a different starting point: machine learning that validated whether each code change came from the developer who pushed it.
The problem statements come from Arnica, with outside framing that matches. ChannelLife’s coverage of the November 2025 Arnie AI launch describes insecure AI-generated code reaching production before conventional security measures catch it. Arnica’s about page lists Gartner 2025 Hype Cycle reports that name it a representative vendor for software supply chain security. [s2, s1, s4, s11, s22, s13]
The Arnica Application Security Platform connects to source-code management systems such as GitHub, GitLab, Azure DevOps and Bitbucket rather than to CI/CD pipelines. Arnica says it consolidates risks in code, dependencies and infrastructure configuration, including secrets, licenses and package reputation. It assigns each risk an owner using code ownership and past contributions. Arnica prioritizes fixable risks using severity, exploitation likelihood, known exploitation and whether affected code is reachable.
AI SAST combines deterministic static analysis with AI models that, in Arnica’s description, analyze code behavior, intent and relationships, and it scans on push, nightly or on demand. The Agentic Rules Enforcer keeps organization-wide secure-coding rules in a version-controlled system and injects them into AI coding agents including GitHub Copilot, Cursor, Claude and Gemini. Arnie AI is Arnica’s name for the multi-agent suite that spans generation, push, pull request and backlog. Its page offers access to Arnie through a waitlist, while AI SAST and agentic rules enforcement already appear in the priced plans.
Customer accounts on Arnica’s site describe how the scanning and workflow features are used. N-able says it deployed Arnica across dozens of GitHub organizations containing thousands of repositories. N-able set up prioritization by exploitation likelihood within its first month. Finastra says Arnica lets it identify and immediately address its biggest exposure points. An AppSec Santa review describes Arnica’s package reputation scoring as weighing maintainer reputation, account age, download velocity and community signals. [s8, s2, s3, s4, s5, s7, s10, s9, s23]
Arnica competes for the application security buyer with a pipelineless design as its main distinction. Its pages describe integrating directly into source-code management instead of CI/CD pipelines, and its own FAQ says pipeline checks can remain alongside it as a backup or enforcement layer.
An AppSec Santa review compares Arnica with other tools in its own voice. It contrasts Snyk’s CI/CD integration and automated fix pull requests with Arnica’s pipelineless design and package reputation scoring. It credits Arnica with developer risk profiling next to Socket’s behavioral analysis of supply chain threats. It rates GitGuardian ahead in secrets detection and notes that Arnica combines SCA, secrets and developer analytics in one platform.
Arnica builds its AI coding controls as integrations with developer tools from other companies. The Agentic Rules Enforcer integrates with GitHub Copilot, Cursor, Claude and Gemini, and Arnica adds its security attestation to pull requests within GitHub. [s8, s23, s4, s1]
Arnica publishes named customer case studies. The Finastra case study features its VP of Security, Mali Gorantla, the N-able case study features Principal AppSec Engineer Thomas Gayvert, and the case-study index adds Complete Genomics, FullStory, Lemonade and ITS Inc. The homepage states that more than 100 companies building secure software trust Arnica.
N-able’s account describes a full move to Arnica. N-able says it planned to run Arnica in parallel with its other tools but soon moved from its previous stack to Arnica, and that it mirrors its written legal policies in the platform to block components with forbidden licenses.
Arnica sells through a free plan and paid plans. The pricing page moves 14-day trial accounts to the Free plan rather than billing them, offers Business through a Get Started button and routes Enterprise to Talk to sales. Recognition shown on Arnica’s own pages includes ratings of 4.6 out of 5 on Gartner Peer Insights and 4.9 out of 5 on G2, and a Major Player placement in the 2025 IDC MarketScape for application security posture management. [s9, s10, s19, s1, s7, s20]
Nir Valtman co-founded Arnica and leads it as chief executive, according to SecurityWeek’s coverage of the 2022 seed round. His SANS Institute contributor profile says that before Arnica he led product and data security at Finastra, established security at Kabbage as CISO , and headed application security at NCR. Nir told TechCrunch that, as a former buyer of application security products, he had tested more than a dozen solutions for his previous company’s software supply chain.
The 2022 seed round was led by Joule Ventures and First Rays Venture Partners. TechCrunch named angel investors including Avi Shua, co-founder and CEO of Orca Security, Dror Davidoff, co-founder and CEO of Aqua Security, and Baruch Sadogursky, head of developer relations at JFrog.
The U.S. Securities and Exchange Commission’s EDGAR submissions record lists Arnica, Inc. as a Delaware corporation with a Form D filing dated August 2, 2021. [s14, s28, s12, s16]
Arnica states that it is SOC 2 Type 2 compliant, with an annual examination of its controls by a third-party audit firm against AICPA standards, and its pricing FAQ states that it maintains ISO 27001 certification. It uses Drata to monitor its compliance controls and provides its SOC 2 report on request.
Its security page says the product is hosted on AWS or within a customer’s on-premises infrastructure, with logical tenant separation, TLS 1.2 or 1.3 in transit and AES 256 at rest. Single sign-on is available to free and paid users, customers assign privileges through role-based access control, and the Enterprise plan adds direct SSO provisioning and support for an on-premise instance. [s6, s7]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Cycode | competes with | Competes for the same application security posture management buyer. | |
| Semgrep | competes with | Competes for application security teams buying static analysis and code scanning. | |
| Snyk | competes with | An AppSec Santa review names Snyk as the usual CI-integrated comparison for Arnica’s dependency scanning. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Checkmarx | competes with | Competes for the enterprise application security buyer. | |
| GitHub | adjacent | Arnica attaches pull request checks within GitHub and integrates its rule enforcement with GitHub Copilot. | N/AGitHub is scored by product line, not as a whole company, so there is no company-wide column to compare. Open its profile to compare a specific product. |
Add analyzed competitors to compare them side by side with Arnica.
A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
Arnica’s product combines static analysis that pairs deterministic rules with AI models, real-time analysis of commits and pull requests across repositories, and secure-coding rules injected into AI coding agents as they write code. Customers configure merge-blocking policies, dismissal reviews and license rules in Arnica’s policy engine, and a customer that switches would have to rebuild them. Arnica does not describe a dataset it accumulates across customers. It fits organizations that want scanning and AI coding rules applied from source control without pipeline changes.
| Dimension | Score | Rationale |
|---|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 | Customers pay per identity for software that scans code, routes findings and enforces rules, and their own security teams set the policies, review dismissals and decide what blocks a merge. Every plan on the pricing page lists software features, and the reviewed sources describe no service in which Arnica takes accountability for outcomes, so software is the product. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | Friction is documented: customers configure merge-blocking policies, dismissal reviews and license blocks in Arnica’s policy engine, and N-able runs it across thousands of repositories after retiring its previous stack. The cited sources describe no technical or contractual barrier to transferring those workflows and contain no estimate of migration effort, so the friction stays at integrations and learned workflows. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | Arnica holds SOC 2 Type 2 and ISO 27001, monitors its controls with Drata and offers an on-premises deployment. A funded competitor can obtain those through ordinary enterprise preparation, and the reviewed sources show no product-carried authorization or retained liability that would block a replacement. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | AI SAST combines deterministic analysis with AI models that analyze code behavior and intent. The platform analyzes commits and pull requests in real time with reachability analysis for dependency findings, and the Agentic Rules Enforcer applies version-controlled rules inside several AI coding agents. That mix of program analysis, machine learning and real-time systems requires specialized security engineering. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | Named customers include Finastra, which develops financial products, and Complete Genomics, whose case study says it uses Arnica to automate vulnerability management within FDA and HIPAA compliance. That evidences a regulated-enterprise buyer of the product, which reaches this rung although the same product is also offered on a Free plan and a Business plan any team can start from the pricing page. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | Arnica is a platform with application features: it inventories identities, assets and risks across the development environment, offers an API on the Enterprise plan, and connects to source-code, chat, ticketing and AI coding tools. It runs on top of those source-code platforms rather than as infrastructure other applications are built on. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 | Arnica describes its own code-scanning rules. AppSec Santa describes package reputation scoring based on maintainer reputation, account age, download velocity and community signals. Arnica uses customer-specific ownership context and policies. The cited sources describe no proprietary asset that Arnica retains. |
Arnica sells to application security teams at software organizations and says its free tier lets teams of any size get started. Its plans are priced per Identity, which Arnica defines as any user or contributing entity with code or pull request activity in the last 90 days.
Arnica’s named customers span several sectors. Finastra says it develops financial products used by more than 6000 customers, and N-able builds software for managed service providers. The case-study index adds Complete Genomics, whose case study concerns vulnerability management within FDA and HIPAA compliance, along with FullStory, Lemonade and ITS Inc.
The Enterprise plan adds administrative and deployment features, including direct SSO provisioning, access to Arnica’s API, Jira integration and support for an on-premise instance. Business can be started from the pricing page, while Enterprise goes through a sales conversation.
Arnica connects to source-code management to scan code, dependencies and infrastructure configuration for security risks. It also detects secrets, inventories software components and checks licenses and package reputation. Arnica assigns each risk an owner using code ownership, past contributions and team structure. It prioritizes fixable risks using severity, exploitation likelihood, known exploitation and whether affected code is reachable.
AI SAST pairs deterministic rules, which Arnica presents as predictable and repeatable for compliance, with AI models that analyze code behavior and intent, and Arnica says the hybrid reduces noise. The Agentic Rules Enforcer keeps organization-wide secure-coding rules in a version-controlled system, injects them into AI coding agents at generation time, and tracks every rule change for review.
Arnica has described behavioral analysis at two points. Its 2022 seed release described machine learning that validated the authenticity of each developer’s code changes, and its announcement about the 2025 IDC MarketScape assessment says it highlights Security Champions automatically through behavioral analysis.
Arnica reaches buyers through a free plan and paid plans with published prices. A 14-day trial ends on the permanent Free plan instead of a charge, and the Free plan includes code risk scans for SAST, SCA, IaC, licensing and reputation along with single sign-on. Business can be started from the pricing page, and Enterprise goes through sales.
The named customer accounts describe deployments run by security teams. N-able says its application security team and a group of volunteer security champions led a 2023 overhaul of its tooling, which ended with a move from its previous stack to Arnica. Finastra says Arnica helped it consolidate separate tools for SBOM, SCA and third-party library security into one platform.
Arnica also shows analyst and award recognition on its own pages. It lists a Major Player placement in the 2025 IDC MarketScape for application security posture management, representative-vendor mentions in Gartner 2025 Hype Cycles, and an InfoWorld 2023 Technology of the Year award in DevOps security. ChannelLife’s coverage of the November 2025 Arnie AI launch quoted an Omdia analyst describing proactive security for AI-generated code as the next frontier in application security.
Arnica publishes three plans priced per Identity. Free costs nothing. Business lists at 300 dollars per identity per year or 30 dollars per identity per month, and Enterprise lists at 600 dollars per identity per year or 60 dollars per identity per month. The subscription term is annual either way, and the annual prepaid plan is roughly 17 percent cheaper than paying monthly.
Arnica includes its AI capabilities in the paid plans. Business adds 30 AI credits per identity, AI SAST scanning, AI code suggestions, real-time scanning and merge-blocking pull request policies. Enterprise adds 100 AI credits per identity and agentic rules enforcement, and the plan comparison also lists the Agentic Rules Enforcer and container image scanning as add-ons.
An Identity is any user or contributing entity with code or pull request activity in the last 90 days, with duplicates removed across organizations. When the count grows past the purchased amount, Arnica keeps covering the added identities and issues a true-up invoice.
Arnica runs as a hosted service connected to source-code management, with an on-premises option. Its security FAQ says the product is hosted on AWS or within the customer’s on-premises infrastructure. Arnica connects to GitHub, GitLab, Azure DevOps or Bitbucket to analyze commits, pull requests and branches in real time without CI/CD pipeline configuration.
Findings reach developers in their existing tools. Arnica routes risks to Slack and Microsoft Teams, opens and closes tickets in Jira or Azure DevOps Boards, and annotates pull requests and fails the status check so code cannot merge until risks are addressed. Customers set those rules themselves: N-able blocks only on priorities it agreed with engineering in Arnica’s policy engine, and Finastra requires review of dismissals for certain products and severity levels.
Leaving Arnica would mean rebuilding those policies, merge checks and dismissal workflows elsewhere. Arnica’s ASPM page quotes a director of information security describing a record of when vulnerabilities were found and who worked on, caused and resolved them. The reviewed sources do not describe exporting that configuration or history, so the effort of a migration is not established.
Arnica states that it is SOC 2 Type 2 compliant, with an annual examination by a third-party audit firm against AICPA standards, and its pricing FAQ states that it maintains ISO 27001 certification. It monitors its compliance controls with Drata and provides the SOC 2 report on request.
Its security page lists logical tenant separation, TLS 1.2 or 1.3 encryption in transit and AES 256 at rest, with hosting on AWS or on the customer’s own infrastructure. Single sign-on is available to free and paid users, customers assign privileges through role-based access control, and the Enterprise plan adds direct SSO provisioning.
Arnica connects to the tools developers and security teams already use. Those include source-code platforms such as GitHub, GitLab, Azure DevOps and Bitbucket, issue trackers such as Jira and Azure DevOps, and chat tools such as Slack and Microsoft Teams. The Agentic Rules Enforcer adds AI coding agents including GitHub Copilot, Cursor, Claude and Gemini.
The Enterprise plan includes access to Arnica’s API, and the plan comparison lists a bring-your-own AI integration as an add-on.
Nir Valtman co-founded Arnica and leads it as chief executive, according to SecurityWeek. His SANS Institute contributor profile says he previously led product and data security at Finastra, established security at Kabbage as CISO , and headed application security at NCR. He told TechCrunch in 2022 that, as a former buyer of application security products, he had tested more than a dozen solutions for his previous company’s software supply chain.
The 2022 seed round was led by Joule Ventures and First Rays Venture Partners. TechCrunch named angel investors including Avi Shua, co-founder and CEO of Orca Security, Dror Davidoff, co-founder and CEO of Aqua Security, and Baruch Sadogursky, head of developer relations at JFrog.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Arnica homepage: Application Security Platform | official | 2026-09-15 |
| f2 | SecurityWeek on Arnica raising 7 million (founded August 2021) | press | 2026-09-15 |
| f3 | Arnica seed funding release (7 million led by Joule Ventures and First Rays) | press | 2026-09-15 |
| f4 | AI Defense Matrix Catalog entry | other | 2026-06-15 |
| f5 | Arnica Agentic Rules Enforcer for AI coding agents | official | 2026-09-15 |
| f6 | Arnica ASPM platform overview | official | 2026-09-15 |
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