Gencore AI provides the same capability for the safe construction of AI tools that their core platform has provided from its inception.
Rehan Jalil, Securiti’s CEO
Today, data security and privacy vendor Securiti is announcing the release of Gencore AI, their holistic solution to easily and quickly build safe, enterprise-grade generative artificial intelligence (GenAI) systems, copilots and AI agents. This new solution is designed to accelerate GenAI adoption in the enterprise by making it easy to build unstructured and structured data + AI pipelines utilizing proprietary enterprise data across hundreds of diverse data systems and applications.
“We are a 2019 startup which is focused on the safe and innovative use of data,” said Rehan Jalil, Securiti’s CEO. “Our core product is the Data Command Center, a centralized platform that enables the safe use of data and GenAI, and enables the use of data in all kinds of systems. We are now a 700 person company, and our focus is on large enterprises of $200 million and more.”
They also make extensive use of channel partners.
“We have strong relationships with SIs, and our distis and resellers differ by region,” Jalil stated.
The value Securiti brings addresses the issues that 42% of CISOs are most worried about the data privacy risks of GenAI and and 55% of organizations are avoiding certain GenAI use cases due to data-related issues.
“We have cracked the code in how to secure with privacy , so that in minutes we can create all data securely,” Jalil said.
GenCore AI extends the original mission of Data Command Center, extending the responsible use of data to AI. It is basically an app for the Data Command Center platform.
“If you really want to command data, you need visibility, and this is what we did traditionally,” Jalil noted. “Our knowledge graph allows command and control in the data. What GenCore AI does is use the same power and knowledge and create AI data on top of it. Any enterprise has different functions, and depending on the information. you want to create a copilot, depending on different business functions. Most business want to see across apps. The big banks and telcos are customers of this, and there are hundreds of Gen AI use cases.”
Gencore AI provides automatic detection and on-the-fly redaction, masking, or anonymization of sensitive data to prevent inappropriate use in AI models. Its custom and pre-configured policies blocks attacks, prevents data leaks, ensures AI compliance with corporate policies, and preserves document access entitlements. It also has embedded regulatory knowledge to ensure AI pipelines align with appropriate regulations like the EU AI Act, and NIST AI RMF.
Gencore AI accelerates GenAI adoption in the enterprise by making it easy to build unstructured and structured data + AI pipelines utilizing proprietary enterprise data across hundreds of diverse data systems and applications. It can also be used by both developers and Line of Business users.
“It has use cases where both can use it, although more often than not it is the CIO team who will use it to build the systems that they want,” Jalil said. “Our engine can decide which are the best AI engines for the task.”
Jalil emphasized that no one else has something similar.
“They can do some version without the extent of our safety security and compliance,” he said. “They also need visibility. This shows what files are going through and what is sensitive. That is our core DNA. Now we are bringing the same security to safe AI.”
Customers have several ways to acquire Gencore AI
“If they want they can buy the functionality on its own, and not the whole platform,” Jalil indicated. “Existing customers will be more likely to add it on to the platform.”
While the tool is designed to be used by customers, partners will resell it.
“SIs will make use of this,” Jalil said, “It gives them the tool to make it easily part of their product. We are already very close partners with SIs as well as big cloud providers and some VARs. The Go-to-Market heavily involves VARs.
“It’s so easy to build with this,” Jalil concluded. “It defines what the different steps are, and is a work assistant across multiple apps.”
