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Apiiro is an AI-SPM / Runtime Protection vendor based in Tel Aviv, Israel (US office New York). Its flagship product is Apiiro AppSec platform (Guardian Agent, Risk Graph, AI-SPM). Against the OWASP LLM Top 10 (2025) we score it Covered on 1 of 10 risks, Partial on 5, with 5 MITRE ATLAS techniques mapped as of . It's independent.

1/10
Risks covered
5
Partial
5
ATLAS techniques
$135M
Funding
Active
Status

At a glance

Category
AI-SPM / Runtime Protection
Headquarters
Tel Aviv, Israel (US office New York)
Founded
2019
Employees
51-200
Flagship product
Apiiro AppSec platform (Guardian Agent, Risk Graph, AI-SPM)
Deployment
SaaS control plane (integrates with code repos/CI)
Best for
Security teams securing the SDLC, AI-generated code and software supply chain across large codebases
Funding to date
$135M
Last round
Series B · 2022
Status
Active

Facts as of .

What does Apiiro do?

An AppSec platform that grew into AI, tracking AI-generated-code risk, AI posture, and the software supply chain behind agentic development. It ships as SaaS control plane (integrates with code repos/CI), and it's built for security teams securing the SDLC, AI-generated code and software supply chain across large codebases. It's a weaker fit for teams wanting a runtime LLM prompt-firewall or agent-inference guardrail; Apiiro is code/posture-centric, not an inference proxy.

Which OWASP LLM Top 10 risks does Apiiro cover?

Apiiro's strongest verdict is LLM03Supply Chain. The two tables below come from our editorial read of Apiiro's public documentation as of (it's what the docs support, not a hands-on lab test), and this row also sits in the full matrix across all 21 vendors.

OWASP LLM Top 10 (2025) coverage — as of 2026-07-13
OWASP LLM Risk What it is Apiiro coverage How it's addressed Source
LLM01 Prompt Injection User or hidden input overrides the model's rules or intended behavior. Partial Guardian Agent explicitly lists prompt injection as one of the flaw classes it prevents by injecting security context into AI-coding-assistant prompts before code generation — this is a code-generation-time prevention control, not a runtime inference firewall. https://apiiro.com/blog/apiiro-guardian-agent/
LLM02 Sensitive Information Disclosure The model leaks secrets, personal data, or proprietary content in its output. Partial Secrets Security detects exposed secrets/sensitive data in code, not LLM output leakage. https://apiiro.com/
LLM03 Supply Chain Compromised models, datasets, plugins, or dependencies add risk before runtime. Covered Software supply-chain security, SCA/SBOM and malicious-code detection are core strengths. https://apiiro.com/
LLM04 Data and Model Poisoning Tampered training or fine-tuning data corrupts how the model behaves. Partial Malicious-dependency/component detection touches poisoned AI supply components. https://apiiro.com/
LLM05 Improper Output Handling Downstream systems trust model output without checking it, enabling injection or code execution. Partial Guardian Agent's own description names 'improper output handling' as one of the flaw classes it defends against during AI-assisted code generation. https://apiiro.com/blog/apiiro-guardian-agent/
LLM06 Excessive Agency An agent holds more permissions, tools, or autonomy than the task needs. Partial AI-SPM discovers agentic components and permissions across the code/dev environment. https://apiiro.com/
LLM07 System Prompt Leakage The system prompt or the secrets inside it get exposed to users. Not covered Apiiro's only public content on this topic is a generic security-glossary definition of 'prompt leakage' (educational, not a product-capability claim). No AI-SPM or Guardian Agent page documents a system-prompt-leakage detection/prevention feature. https://apiiro.com/glossary/prompt-leakage/
LLM08 Vector and Embedding Weaknesses Flaws in RAG stores let attackers poison, extract, or infer data. Not covered No mention of vector/embedding-store scanning or RAG-security capability across Apiiro's AI-SPM and Guardian Agent product pages. https://apiiro.com/product/ai-security-inventory/
LLM09 Misinformation The model produces false or fabricated content that users act on. Not covered No mention of misinformation/hallucination detection across Apiiro's AI-security product pages — consistent with Apiiro being a code/SDLC-posture tool rather than an inference-time content evaluator. https://apiiro.com/product/ai-security-inventory/
LLM10 Unbounded Consumption Uncontrolled requests drive cost, denial of service, or model extraction. Not covered No mention of rate-limiting/unbounded-consumption controls across Apiiro's AI-security product pages. https://apiiro.com/product/ai-security-inventory/
MITRE ATLAS coverage — as of 2026-07-13
ATLAS Technique (ID) Tactic Apiiro coverage Notes Source
ML Supply Chain Compromise (AML.T0010) Initial Access Covered Software supply-chain security, SCA/SBOM and malicious-code detection. https://apiiro.com/
User Execution: Malicious Package (AML.T0011) Execution Partial Detects malicious/risky dependencies in the codebase. https://apiiro.com/
Backdoor ML Model (AML.T0018) Persistence Unverified Model-level backdoor detection not documented. None found
LLM Data Leakage (AML.T0057) Exfiltration Partial Secrets Security reduces sensitive-data exposure in code. https://apiiro.com/
LLM Prompt Injection (AML.T0051) Initial Access / Execution Unverified AI threat modeling flags risky patterns but no runtime prompt-injection defense. None found

Is Apiiro independent, and how is it funded?

Apiiro is an independent company as of . It has raised $135M to date, most recently a Series B dated 2022. Lead investors: General Catalyst, Greylock, Kleiner Perkins.

Apiiro alternatives

The closest alternatives we track in AI-SPM / Runtime Protection are Cranium, HiddenLayer, Noma Security.

Frequently asked questions

What is Apiiro used for?

Apiiro is an AI-SPM / Runtime Protection vendor. Its flagship product is Apiiro AppSec platform (Guardian Agent, Risk Graph, AI-SPM). It ships as SaaS control plane (integrates with code repos/CI), and it's built for security teams securing the SDLC, AI-generated code and software supply chain across large codebases.

Is Apiiro independent or acquired?

Apiiro is an independent company as of 2026-07-13 and has not been acquired.

How many OWASP LLM Top 10 risks does Apiiro cover?

We score Apiiro as Covered on 1 of the ten OWASP LLM Top 10 (2025) risks, with 5 more Partial, as of 2026-07-13. The table on this page breaks down every risk, including the ones marked Not covered or Unverified.

How is Apiiro deployed?

Apiiro ships as SaaS control plane (integrates with code repos/CI).

What are the best alternatives to Apiiro?

The closest AI-SPM / Runtime Protection alternatives llmthreat tracks are Cranium, HiddenLayer, Noma Security.

Last verified . Sources: https://apiiro.com/, https://www.securityweek.com/cloud-native-application-security-firm-apiiro-raises-100-million/, https://www.crunchbase.com/organization/apiiro-ltd, https://pitchbook.com/profiles/company/442503-73. Funding and repo figures are third-party and go stale. Re-verify before you rely on them.
Informational, not professional security advice — verify Apiiro's claims and threat coverage against the official OWASP and MITRE sources and the vendor directly before making a purchasing or security decision. OWASP, MITRE, and the listed vendors and maintainers do not endorse llmthreat.com.