AIceberg

Name: AIceberg
Brand: AIceberg

AI Native

Agentic AI Security & Governance

Est 2023|Raised $10M|2 Ref Customers

LinkedIn 3K|Web traffic 4K|FTEs 33|HQ New York, New York, US

01Competitive Landscape

Narrative analysis

- AIceberg compared with competitors that specialize in runtime prompt/response filtering and governance shows a positioning focused on runtime enforcement and observability. Vendors that emphasize ML-security across the model lifecycle (supply chain, training pipeline) offer complementary or alternative coverage. - If the organization’s primary risk is prompt injection and data leakage at inference time, AIceberg’s runtime governance focus may align with that requirement. If the priority is model supply chain security, consider vendors that prioritize ML supply chain protections and pipeline security.

Market adoption signals

A seed raise and an AWS Marketplace listing indicate an early enterprise go-to-market posture. The limited review footprint suggests that scaled deployment across a broad customer base may still be developing relative to incumbent players.

	AIceberg	Prompt Security	Protect AI
Starting Price	Not publicly posted on website; AWS Marketplace tiers observed at enterprise annual pricing	AWS Marketplace listings provide SKU-based pricing for employees/developers and API-call based pricing for apps (varies by deployment)	Pricing varies and is typically enterprise-led; public self-serve pricing not consistently available
Best For	Enterprises seeking runtime controls, observability, and compliance enforcement across AI traffic	Organizations looking for packaged controls for employee AI usage, code assistants, and app-level protections via marketplace SKUs	Organizations focused on ML security posture, model/pipeline security, and ML risk management
Key Strength	Vendor positions the product as a runtime governance layer with explainability and non-generative oversight approaches	Clear packaging for specific use cases (employees/developers/apps) and procurement via AWS Marketplace	Broader ML security scope (beyond prompt filtering)
Key Weakness	Limited third-party reviews found; security certifications not clearly published; pricing appears enterprise-focused	Feature depth depends on SKU and deployment; may be less focused on observability and intent analytics	Can be heavier-weight than required when the primary need is runtime prompt/response controls

01Competitive Landscape

Narrative analysis

AIceberg compared with competitors that specialize in runtime prompt/response filtering and governance shows a positioning focused on runtime enforcement and observability. Vendors that emphasize ML-security across the model lifecycle (supply chain, training pipeline) offer complementary or alternative coverage.
If the organization’s primary risk is prompt injection and data leakage at inference time, AIceberg’s runtime governance focus may align with that requirement. If the priority is model supply chain security, consider vendors that prioritize ML supply chain protections and pipeline security.

Market adoption signals

	AIceberg	Prompt Security	Protect AI
Starting Price	Not publicly posted on website; AWS Marketplace tiers observed at enterprise annual pricing	AWS Marketplace listings provide SKU-based pricing for employees/developers and API-call based pricing for apps (varies by deployment)	Pricing varies and is typically enterprise-led; public self-serve pricing not consistently available
Best For	Enterprises seeking runtime controls, observability, and compliance enforcement across AI traffic	Organizations looking for packaged controls for employee AI usage, code assistants, and app-level protections via marketplace SKUs	Organizations focused on ML security posture, model/pipeline security, and ML risk management
Key Strength	Vendor positions the product as a runtime governance layer with explainability and non-generative oversight approaches	Clear packaging for specific use cases (employees/developers/apps) and procurement via AWS Marketplace	Broader ML security scope (beyond prompt filtering)
Key Weakness	Limited third-party reviews found; security certifications not clearly published; pricing appears enterprise-focused	Feature depth depends on SKU and deployment; may be less focused on observability and intent analytics	Can be heavier-weight than required when the primary need is runtime prompt/response controls

AIceberg

01Competitive Landscape

Narrative analysis

Market adoption signals

02Market Map

01Competitive Landscape

Narrative analysis

Market adoption signals

02Market Map