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Mithril Security

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uuid0002cmx

Namestring
Mithril Security
Legal namestring
Mithril Security
Company typeenum
Private
Founded yearint
2021
Descriptiontext

Mithril Security is a Paris-based open-source software company founded in April 2021 by Daniel Huynh (CEO), Raphaël Millet (COO), and Mehdi Bessaa (CTO). It builds tooling for confidential and trustworthy AI, with a portfolio centered on BlindLlama — an open-source framework that serves large language models inside hardware-based secure enclaves (Intel SGX, AMD SEV-SNP, vTPM) so that user prompts and model weights remain inaccessible even to the AI provider's administrators. Around this core, the company offers AICert, which creates cryptographic model provenance certificates binding model weights to training data and code; AIGovTool, an open-source governance framework for rate limiting, consumption control, and off-switch triggers on deployed AI models; and BlindChat, an end-user conversational interface with local and enclave modes. An earlier product, BlindAI (Rust-based ONNX inference on Intel SGX), was independently audited by Quarkslab with no vulnerabilities found but is no longer actively maintained.

The company's technology stack leverages trusted execution environments, TPM-based attestation, and Attested TLS to provide verifiable confidentiality and code integrity. Its go-to-market is community-led, with all products distributed freely on GitHub and supported by a Discord developer community, technical blog, whitepapers, and event participation. Enterprise adoption is driven through Calendly-based one-on-one consultations targeting healthcare, financial services, AI providers, and security/critical-infrastructure buyers with sensitive data or regulated workloads. Revenue appears to be generated via enterprise consulting, custom deployments, and likely recurring support or subscription engagements, though no public pricing is disclosed and revenue has not been reported.

Mithril Security has raised a 2022 pre-seed and a €1.2 million seed round in May 2023 led by multiple venture funds including Auriga Cyber Ventures, IT-Farm, Polytechnique Ventures, and SkyDeck Berkeley. It received an OpenAI Cybersecurity Grant in December 2023 and entered a flagship technical collaboration with the Future of Life Institute in November 2023 to develop hardware-backed AI governance tools. The company has stated intentions to expand into North American and European markets beyond its Paris headquarters.

Short descriptiontext

Mithril Security builds open-source tools for confidential AI inference and model provenance using secure enclaves and TPM-based attestation. It serves healthcare, finance, AI providers, and security-critical enterprises needing privacy-preserving LLM deployment.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersRis-orangis, France
HQ citystring
Ris-orangis
HQ countrystring
France
HQ regionstring
Europe
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
confidential AI inference, secure enclaves deployment, AI model governance, AI model provenance, trusted platform modules
Industry4 codes
1Secure Model Deployment & Runtime Protection (sandboxing, isolation)
CodeHDAAAKAHPrimaryYes
2Privacy-Preserving On-Device ML (secure enclaves, TEEs, differential privacy)
CodeHDAAAJAHPrimaryNo
3Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII)
CodeHDAEANAGPrimaryNo
4AI Privacy Engineering & Data Governance (PII, consent, retention)
CodeHDAAAKABPrimaryNo
NAICS code3 codes
  • Software Publishers5132
  • Computer Systems Design and Related Services54151
  • Other Computer Related Services541519
SIC code3 codes
  • Services-Prepackaged Software7372
  • Services-Computer Programming Services7371
  • Services-Computer Integrated Systems Design7373
Product category
Confidential AI infrastructure
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model1 record
1Open Source Products
TypeSubscription Recurring
Description

Open-source products freely available. Revenue likely generated through enterprise consulting, support services, and custom implementation engagements. Contact sales for tailored solutions.

blog.mithrilsecurity.io
Marketing channels6 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 6 records shown
1BlindLlama
Description

Open-source framework for confidential and verifiable AI APIs with GPU support, using secure hardware and TPMs for data confidentiality

mithrilsecurity.io
+5 more records
Core offering1 text field

Mithril Security develops open-source software tools that enable AI providers to deploy models using hardware-based confidential computing. Its flagship product BlindLlama serves LLMs inside secure enclaves (Intel SGX, AMD SEV-SNP) with TPM-rooted attestation so user data is never accessible to AI provider administrators. The portfolio is extended with AICert for cryptographic AI model provenance, AIGovTool for hardware-enforced AI governance and usage controls, and BlindChat as a user-facing confidential conversational AI interface.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

Mithril Security offers a modular portfolio of open-source tools for confidential and traceable AI. The core platform is BlindLlama, a confidential AI inference framework that serves LLMs inside hardware-based secure enclaves with TPM-rooted cryptographic attestation, ensuring user data is never exposed even to the AI provider's administrators. Built on BlindLlama, the company offers three integrated modules: AICert (add-on) provides cryptographic model provenance and AI Bill of Materials to verify training data and code provenance; AIGovTool (add-on) enforces AI governance policies including usage controls and off-switch triggers for models deployed on untrusted infrastructure; and BlindChat (sub-brand) delivers a private conversational AI interface for end users, operating either locally in-browser or via the BlindLlama enclave backend. Together, the portfolio addresses the core privacy, traceability, and governance challenges of enterprise LLM adoption.

Product and service4 records
1BlindLlama
CategoryConfidential AI inference
Description

Open-source framework for deploying AI models on GPUs inside hardware-based secure enclaves with Trusted Platform Modules (TPMs) as the root of trust. AI models are served in hardened environments where data is never exposed even to the AI provider's administrators, and full code integrity is verified cryptographically. Functions as the confidential AI inference backend for BlindChat and enterprise deployments.

2AICert
CategoryAI model provenance and traceability
Description

Open-source AI provenance solution that creates unforgeable model cards cryptographically binding a model hash to its training procedure hash using TPMs. Provides irrefutable proof of model origin, addressing copyright, supply-chain, and model-poisoning concerns.

3AIGovTool
CategoryAI model governance
Description

Open-source framework for AI model governance that enforces usage rules, consumption control, rate limiting, and off-switch triggers on AI models deployed on client infrastructure. Uses secure enclaves to protect model weights and provides trustable telemetry for AI custodians leasing models to untrusted parties.

4BlindChat
CategoryPrivate conversational AI
Description

Open-source private conversational AI application providing a user-facing interface to confidential AI. Runs in two modes: Local (small model entirely in-browser for full data locality) and Enclave (queries routed to BlindLlama backend with end-to-end encryption). Targets privacy-sensitive end users such as lawyers, accountants, and healthcare professionals.

Scale indicator2 records

Each record includes

Type, Value, Description, Source

Partnership2 partners
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2023-11-01
Description

Technical collaboration to develop AIGovTool, hardware-backed AI governance tools using Intel SGX enclaves. The partnership aims to enforce AI governance policies with cryptographic guarantees for model weight protection and controlled consumption.

Strategic tierCoreTypeOthersAnnounced on2023-05-01
Description

Independent security audit firm that conducted an in-depth security review of BlindAI and found no vulnerabilities, validating the security of Mithril's confidential computing approach.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Anjuna provides a confidential computing platform that runs workloads inside hardware-isolated enclaves across major clouds. It directly competes with Mithril in confidential AI/ML workloads using secure enclaves and is the most head-to-head competitor in confidential AI infrastructure.

TypeDirect peer
Description

Fortanix offers confidential computing and key management built on Intel SGX, with Confidential AI/ML capabilities for regulated workloads. It is comparable to Mithril as an enclave-based platform serving enterprise AI and data protection use cases.

TypeDirect peer
Description

Edgeless Systems builds open-source confidential computing platforms (Constellation, Contrast) using TEEs for AI and data workloads. It is a direct peer as an open-source confidential AI infrastructure vendor with comparable technology stack and target use cases.

TypeDirect peer
Description

Opaque Systems provides a confidential AI/analytics platform built on secure enclaves and hardware-rooted attestation for collaborative data and ML. It competes with Mithril in the confidential AI/ML workload layer with similar enclave-based privacy guarantees.

TypeEmerging player
Description

Phala offers confidential AI compute via TEEs on a decentralized network (Phat Contract, dstack). It overlaps with Mithril on confidential AI inference using secure enclaves and targets similar AI privacy use cases, with a decentralized go-to-market angle.

TypeBroad incumbent
Description

Nvidia provides confidential computing capabilities on H100/H200 GPUs (e.g., TEE support) that directly intersect with Mithril's GPU-compatible confidential inference positioning. As the dominant AI hardware vendor, Nvidia's confidential GPU offerings could either compete or partner with Mithril's BlindLlama.

TypeBroad incumbent
Description

Azure offers confidential VMs, Intel SGX/AMD SEV-SNP enclaves, and Confidential AI services for regulated workloads. It competes broadly with Mithril as the leading cloud-native confidential computing stack and bundles confidential AI with a much larger enterprise ecosystem.

TypeBroad incumbent
Description

AWS Nitro Enclaves provides isolated compute environments for processing sensitive data, including AI/ML workloads. Comparable to Mithril as a hyperscaler offering of enclave-based confidential compute, with significantly broader platform integration.

TypeEmerging player
Description

Secret AI focuses on confidential LLM inference using secure enclaves and encrypted compute, targeting privacy-sensitive enterprise AI. It overlaps with Mithril's BlindLlama in confidential LLM deployment, with similar GPU-targeted positioning.

TypeOthers
Description

Hugging Face hosts BlindChat and is the distribution channel for Mithril's conversational AI front end. While not a confidential computing peer, Hugging Face is adjacent ecosystem infrastructure for model distribution and the open-source AI community Mithril depends on.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile4 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability4 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles4 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors4 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Mithril Security

Confidential AI infrastructuremithrilsecurity.io

Mithril Security builds open-source tools for confidential AI inference and model provenance using secure enclaves and TPM-based attestation. It serves healthcare, finance, AI providers, and security-critical enterprises needing privacy-preserving LLM deployment.

What Mithril Security does

Mithril Security is a Paris-based open-source software company founded in April 2021 by Daniel Huynh (CEO), Raphaël Millet (COO), and Mehdi Bessaa (CTO). It builds tooling for confidential and trustworthy AI, with a portfolio centered on BlindLlama — an open-source framework that serves large language models inside hardware-based secure enclaves (Intel SGX, AMD SEV-SNP, vTPM) so that user prompts and model weights remain inaccessible even to the AI provider's administrators. Around this core, the company offers AICert, which creates cryptographic model provenance certificates binding model weights to training data and code; AIGovTool, an open-source governance framework for rate limiting, consumption control, and off-switch triggers on deployed AI models; and BlindChat, an end-user conversational interface with local and enclave modes. An earlier product, BlindAI (Rust-based ONNX inference on Intel SGX), was independently audited by Quarkslab with no vulnerabilities found but is no longer actively maintained.

The company's technology stack leverages trusted execution environments, TPM-based attestation, and Attested TLS to provide verifiable confidentiality and code integrity. Its go-to-market is community-led, with all products distributed freely on GitHub and supported by a Discord developer community, technical blog, whitepapers, and event participation. Enterprise adoption is driven through Calendly-based one-on-one consultations targeting healthcare, financial services, AI providers, and security/critical-infrastructure buyers with sensitive data or regulated workloads. Revenue appears to be generated via enterprise consulting, custom deployments, and likely recurring support or subscription engagements, though no public pricing is disclosed and revenue has not been reported.

Mithril Security has raised a 2022 pre-seed and a €1.2 million seed round in May 2023 led by multiple venture funds including Auriga Cyber Ventures, IT-Farm, Polytechnique Ventures, and SkyDeck Berkeley. It received an OpenAI Cybersecurity Grant in December 2023 and entered a flagship technical collaboration with the Future of Life Institute in November 2023 to develop hardware-backed AI governance tools. The company has stated intentions to expand into North American and European markets beyond its Paris headquarters.

Mithril Security firmographics

Firmographics
Name
Mithril Security
Legal name
Mithril Security
Website
https://mithrilsecurity.io
Company type
Private
Founded year
2021
Operating status
Operating
Headcount range
11–50 employees
Short description
Mithril Security builds open-source tools for confidential AI inference and model provenance using secure enclaves and TPM-based attestation. It serves healthcare, finance, AI providers, and security-critical enterprises needing privacy-preserving LLM deployment.
Ownership category
akta.pro rank

Mithril Security industry classification

Industry
Product category
Confidential AI infrastructure
NAICS
Software Publishers (5132), Computer Systems Design and Related Services (54151), Other Computer Related Services (541519)
SIC
Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
Secure Model Deployment & Runtime Protection (sandboxing, isolation) (HDAAAKAH)
akta.pro secondary industries
Privacy-Preserving On-Device ML (secure enclaves, TEEs, differential privacy) (HDAAAJAH), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI Privacy Engineering & Data Governance (PII, consent, retention) (HDAAAKAB)

Keywords

  • Confidential AI inference
  • Secure enclaves deployment
  • AI model governance
  • AI model provenance
  • Trusted platform modules

Where Mithril Security is headquartered

Location

Headquarters

HQ city
Ris-orangis
HQ country
France
HQ region
Europe

Offices1 record

Markets served

Mithril Security business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

  1. Open Source Products: Open-source products freely available. Revenue likely generated through enterprise consulting, support services, and custom implementation engagements. Contact sales for tailored solutions.

Go-to-market motion2 records

Distribution channels2 records

Marketing channels6 records

Mithril Security product offering

Product offering

Core offering

Mithril Security develops open-source software tools that enable AI providers to deploy models using hardware-based confidential computing. Its flagship product BlindLlama serves LLMs inside secure enclaves (Intel SGX, AMD SEV-SNP) with TPM-rooted attestation so user data is never accessible to AI provider administrators. The portfolio is extended with AICert for cryptographic AI model provenance, AIGovTool for hardware-enforced AI governance and usage controls, and BlindChat as a user-facing confidential conversational AI interface.

Product overview

Mithril Security offers a modular portfolio of open-source tools for confidential and traceable AI. The core platform is BlindLlama, a confidential AI inference framework that serves LLMs inside hardware-based secure enclaves with TPM-rooted cryptographic attestation, ensuring user data is never exposed even to the AI provider's administrators. Built on BlindLlama, the company offers three integrated modules: AICert (add-on) provides cryptographic model provenance and AI Bill of Materials to verify training data and code provenance; AIGovTool (add-on) enforces AI governance policies including usage controls and off-switch triggers for models deployed on untrusted infrastructure; and BlindChat (sub-brand) delivers a private conversational AI interface for end users, operating either locally in-browser or via the BlindLlama enclave backend. Together, the portfolio addresses the core privacy, traceability, and governance challenges of enterprise LLM adoption.

Differentiator

Problem solved

Functional benefit

Brands

  • BlindLlama: Open-source framework for confidential and verifiable AI APIs with GPU support, using secure hardware and TPMs for data confidentiality
  • AICert
  • AIGovTool
  • BlindChat
  • BlindAI
  • BastionLab

Products and services

  • BlindLlama Open-source framework for deploying AI models on GPUs inside hardware-based secure enclaves with Trusted Platform Modules (TPMs) as the root of trust. AI models are served in hardened environments where data is never exposed even to the AI provider's administrators, and full code integrity is verified cryptographically. Functions as the confidential AI inference backend for BlindChat and enterprise deployments.
  • AICert Open-source AI provenance solution that creates unforgeable model cards cryptographically binding a model hash to its training procedure hash using TPMs. Provides irrefutable proof of model origin, addressing copyright, supply-chain, and model-poisoning concerns.
  • AIGovTool Open-source framework for AI model governance that enforces usage rules, consumption control, rate limiting, and off-switch triggers on AI models deployed on client infrastructure. Uses secure enclaves to protect model weights and provides trustable telemetry for AI custodians leasing models to untrusted parties.
  • BlindChat Open-source private conversational AI application providing a user-facing interface to confidential AI. Runs in two modes: Local (small model entirely in-browser for full data locality) and Enclave (queries routed to BlindLlama backend with end-to-end encryption). Targets privacy-sensitive end users such as lawyers, accountants, and healthcare professionals.

Companies that use Mithril Security

Customer profile

Named customers5 records

Segments4 records

Ideal customer profiles4 records

Mithril Security technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature5 records

Mithril Security partnerships and signals

Strategic signal

Partnerships

Two partnerships are on record, tiered flagship and core.

  • Future of Life InstituteflagshipStrategic or Co-development Partner · 1 November 2023Technical collaboration to develop AIGovTool, hardware-backed AI governance tools using Intel SGX enclaves. The partnership aims to enforce AI governance policies with cryptographic guarantees for model weight protection and controlled consumption.
  • QuarkslabcoreOthers · 1 May 2023Independent security audit firm that conducted an in-depth security review of BlindAI and found no vulnerabilities, validating the security of Mithril's confidential computing approach.

Scale indicators2 records

Recent moves6 records

Expansion highlights6 records

Mithril Security competitors and assessment

Company assessment

Direct peers

  • Anjuna Security: Anjuna provides a confidential computing platform that runs workloads inside hardware-isolated enclaves across major clouds. It directly competes with Mithril in confidential AI/ML workloads using secure enclaves and is the most head-to-head competitor in confidential AI infrastructure.
  • Fortanix: Fortanix offers confidential computing and key management built on Intel SGX, with Confidential AI/ML capabilities for regulated workloads. It is comparable to Mithril as an enclave-based platform serving enterprise AI and data protection use cases.
  • Edgeless Systems: Edgeless Systems builds open-source confidential computing platforms (Constellation, Contrast) using TEEs for AI and data workloads. It is a direct peer as an open-source confidential AI infrastructure vendor with comparable technology stack and target use cases.
  • Opaque Systems: Opaque Systems provides a confidential AI/analytics platform built on secure enclaves and hardware-rooted attestation for collaborative data and ML. It competes with Mithril in the confidential AI/ML workload layer with similar enclave-based privacy guarantees.

Emerging players

  • Phala Network: Phala offers confidential AI compute via TEEs on a decentralized network (Phat Contract, dstack). It overlaps with Mithril on confidential AI inference using secure enclaves and targets similar AI privacy use cases, with a decentralized go-to-market angle.
  • Secret AI: Secret AI focuses on confidential LLM inference using secure enclaves and encrypted compute, targeting privacy-sensitive enterprise AI. It overlaps with Mithril's BlindLlama in confidential LLM deployment, with similar GPU-targeted positioning.

Broad incumbents

  • Nvidia (Confidential Computing / Hopper Trusted Execution): Nvidia provides confidential computing capabilities on H100/H200 GPUs (e.g., TEE support) that directly intersect with Mithril's GPU-compatible confidential inference positioning. As the dominant AI hardware vendor, Nvidia's confidential GPU offerings could either compete or partner with Mithril's BlindLlama.
  • Microsoft Azure Confidential Computing: Azure offers confidential VMs, Intel SGX/AMD SEV-SNP enclaves, and Confidential AI services for regulated workloads. It competes broadly with Mithril as the leading cloud-native confidential computing stack and bundles confidential AI with a much larger enterprise ecosystem.
  • AWS Nitro Enclaves: AWS Nitro Enclaves provides isolated compute environments for processing sensitive data, including AI/ML workloads. Comparable to Mithril as a hyperscaler offering of enclave-based confidential compute, with significantly broader platform integration.

Others

  • Hugging Face: Hugging Face hosts BlindChat and is the distribution channel for Mithril's conversational AI front end. While not a confidential computing peer, Hugging Face is adjacent ecosystem infrastructure for model distribution and the open-source AI community Mithril depends on.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

Mithril Security social profiles

Digital presence

Mithril Security compliance and trust

Trust signal

Compliance1 record

Mithril Security financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Mithril Security leadership team

Management profile

Number of profiles

Profiles4 records

Mithril Security funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Mithril Security M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Mithril Security

What does Mithril Security do?

Mithril Security develops open-source software tools that enable AI providers to deploy models using hardware-based confidential computing. Its flagship product BlindLlama serves LLMs inside secure enclaves (Intel SGX, AMD SEV-SNP) with TPM-rooted attestation so user data is never accessible to AI provider administrators. The portfolio is extended with AICert for cryptographic AI model provenance, AIGovTool for hardware-enforced AI governance and usage controls, and BlindChat as a user-facing confidential conversational AI interface.

Is Mithril Security a public or private company?

Mithril Security is a private company. It is classified as venture growth investor backed and is currently operating.

When was Mithril Security founded?

Mithril Security was founded in 2021. It employs 11 to 50 people.

Where is Mithril Security based?

Mithril Security is headquartered in Ris-orangis, France, in the Europe region.

How does Mithril Security make money?

One revenue line is on record: open Source Products.

Who are Mithril Security's main competitors?

Direct peers on record are Anjuna Security, Fortanix, Edgeless Systems and Opaque Systems. Emerging players are Phala Network and Secret AI. Broad incumbents are Nvidia (Confidential Computing / Hopper Trusted Execution), Microsoft Azure Confidential Computing and AWS Nitro Enclaves. Hugging Face is listed as an others.

Does Mithril Security have an API?

No public API is recorded for Mithril Security.

What industry is Mithril Security in?

Mithril Security's product category is Confidential AI infrastructure. Its primary akta.pro industry code is HDAAAKAH, Secure Model Deployment & Runtime Protection (sandboxing, isolation), with a secondary code of HDAAAJAH, Privacy-Preserving On-Device ML (secure enclaves, TEEs, differential privacy). Its NAICS code is 5132 and its SIC code is 7372.

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Live signals
MaddynessComment se porte Station F à l’aube de fêter sa première décennie d’existence ?Station F, a Paris tech incubator, marks its ninth year with over 9,000 startups having passed through, raising nearly €800 million in the first half of 2026. Founder age has risen to 36.5, and 77% of startups use public funding, while 90% use Claude. The campus will celebrate its tenth anniversary in June 2027.TechSpotFlorida school to deploy security drones designed to stop school shooters mid-attackDeltona High School in Florida will become one of the first in the nation to deploy ceiling-mounted security drones built by Austin-based startup Mithril Defense to respond to active shooter situations. The drones, called Black Arrows, can travel at speeds up to 100 mph through school corridors, emit alarms and strobes, and spray pepper gel at attackers, with pilots operating remotely from Mithril's Austin headquarters. Backed by over $500,000 in state funding, the system costs roughly 50 cents per square foot annually ($8 per student per month), and Mithril is already planning to expand the technology beyond schools to oil and gas, financial, and retail clients.MithrilsecurityMithril Security Raises €1.2M to secure LLM Users' DataMithril Security raised €1.2 million in a pre-seed funding round led by Auriga Cyber Ventures, Polytechnique Ventures, and ITFarm to develop BlindBox, an open-source tool for securing data privacy in Large Language Models. The solution utilizes confidential computing technology to ensure that user data remains encrypted and isolated while being processed by third-party AI systems. This financing supports the company's expansion into North America and Europe as it prepares for a subsequent funding round later this year.