Build generative AIcloud applicationskeyword searchvector search
with security at the core.
Hackers, misconfigurations, stolen credentials, long-lived bugs — any of these can open a crack in your perimeter security. It happens every day. Assume it's happened already. Protect your sensitive data to minimize fallout, preserve your reputation, and meet compliance obligations.
Data Protection
Survive a network breach without losing sensitive data
Add a layer of encryption between your application and your data to guard against massive breaches, data scraping, cross-tenant data leakage, and other common issues.
Application-layer encryption keeps the data safe even when an attacker has access to your database or file system.
Integrated security
The application-layer encryption platform
The IronCore SaaS Shield platform helps encrypt and manage data, regardless of data store. Together with Cloaked Search and Cloaked AI, it keeps that data usable, findable, and still secure even across search services.
For SaaS apps, supports per tenant encryption and key management with options for BYOK/HYOK, real-time audit trails direct to customers, and more. It can connect to all of the major KMSes with per data segment (or tenant) keys. And no sensitive data flows through IronCore -- it all happens in your environment.
Backend Storage Support
SQL Databases
Ex: MySQL, PostgresQL
NoSQL Databases
Ex: DynamoDB, MongoDB
Object Stores
Ex: AWS S3
Search Services
Ex: Elasticsearch, OpenSearch
File Stores
Ex: AWS Cloud File Storage
Event Queues
Ex: Kafka
Data Lakes
Ex: Hadoop, Snowflake
Vector Databases
Ex: Pinecone, Qdrant
SaaS Shield
Application-layer Encryption Management Platform
Key orchestration, BYOK/HYOK, data sovereignty, post-quantum, store anywhere, workflow control, and more
AISec for Safe and Private AI
AI shadow data is a problem; vector encryption is the solution
If you're building Gen-AI into software and leveraging it with private data, chances are you're using RAG and some kind of vector database. RAG is risky and one of the main risks comes from the unsecured shadow copies of all of your data that are being stored as vectors.
Vectors aren't readily understandable by humans -- they're long lists of tiny numbers -- but they can be restored back to a near approximation of the source material, such as the original text, which is what makes them sensitive.
The best way to protect this data, regardless of where it's stored, is by encrypting the vectors such that they can't be inverted back to their source and so that they can't even be searched unless you have the right key.
And now, you can encrypt embeddings of your training data and use it to produce protected models, which can't be used without a key, too. Learn more in our Training AI Without Leaking Data White Paper.
Meaningful Data Protection
Application-layer encryption is the right way to build
Most encryption used today is transparent, like https or infrastructure-level encryption. But that isnt necessarily data protection. For example, this website uses both of those things, but anyone can see all the data.
Enterprise grade
Used by industry leaders and powerhouses
"We believe application-layer encryption is the future of data protection and the best way to keep our customers safe. IronCore Labs offers a great solution, with a mix of advanced data protection capabilities, ease of use for developers, and control for customers."
"Some of our biggest customers were asking for advanced privacy features to better secure their data. We knew that to meet those needs, and meet them quickly, we would need to partner with someone who lives and breathes data privacy and security, and that’s what we found in IronCore Labs."
"We want the best privacy we can get for our customers and IronCore Labs is a key component in how we’re doing that."
Crypto-agile
Quantum-safe cryptography
By 2029, advances in quantum computing will make conventional asymmetric cryptography unsafe to use." --Gartner
Quantum computers are coming, and when they are stable enough and powerful enough, they will break most of our existing public key cryptography.
Crypto-agile solutions offer configuration-driven choices that let you jump between algorithms, key sizes, cloud providers, and KMS/HSM integrations. IronCore's SaaS Shield application-layer encryption management platform allows changing cryptographic algorithms over time with ease.
Key Orchestration
Easily offer enterprise customers a BYOK/HYOK advanced security feature
With IronCore's platform, you can keep keys anywhere -- local, remote, or wherever. And you can do this on a per-data segment basis. For SaaS companies, this means per-customer and it means they can let their customers manage their own keys and even hold them in their own key management server.
Customers can then independently monitor usage of their data and revoke all access to it if desired. With customer managed keys (CMK), they get maximum control over their data, which is why large Enterprises are demanding the feature from their vendors.
Encryption in-use
Search over encrypted data
When sensitive data is properly encrypted, it's useless without the key. But this breaks the built-in functionality in most databases, which hampers adoption.
But cryptography provides us with techniques for operating on encrypted data. These are sometimes called partially homomorphic or fully homomorphic encryption. Basically you operate on the encrypted data and then decrypt the results afterward with the key.
One of the most important applications of this is finding encrypted data using encrypted search. With these tools, adoption of better security need not be feared.
Data sovereignty
Keep data sovereign and protected from insiders with encryption
Privacy laws like GDPR and CCPA drive up the consequences of poorly protecting or misusing personal information.
In Europe, these privacy rights include requirements on due process when a government wants to look at someone's data.
The trouble is, most governments don't extend privacy protections to foreigners. And that's the crux of the lawsuit known as Schrems II and the impetus for numerous data sovereignty laws across countries worried that the U.S. or China is peeking at their citizens' data without regards to privacy rights.
That's where encryption comes in. Sovereignty can be preserved, insider access closed off, and keys held in the nation with the sovereignty laws so their courts have a say in access to their citizens' data.
