Skyflow enables enterprises to build and deploy secure, privacy-preserving AI agents across any data, any model, and any cloud.
Skyflow, the company that provides security and privacy for modern AI data stacks, today announced new features for Agentic AI. These enable enterprises to deploy AI agents with a layer of security and privacy trust, with features such as protecting sensitive data entering and leaving the AI agent, auditing and logging, governance, and compliance with global and regional data protection measures. Build and deploy.
A new ecosystem for agent apps is emerging, built on new AI data stacks. Skyflow announced partnerships with data and AI company Databricks and enterprise orchestration platform Workato, adding to existing partnerships announced last year with companies like Snowflake and AWS.
Agentic AI: More agents means more problems
As AI evolves from simple apps with a single LLM to the deployment of intelligent agents, enterprises are facing new challenges in data privacy, security, and governance. Last year, Skyflow introduced GPT Privacy Vault. This has become Gen AI’s primary security and privacy solution.
Today, with the rise of agentic AI (autonomous agents capable of reasoning, decision-making, and action), enterprises are facing a whole new set of challenges that traditional security measures cannot solve.
Access to sensitive data (such as PII): AI agents often require access to sensitive data, such as transaction history or medical records, in order to effectively perform their tasks. Complex interactions: Agents engage in many-to-many interactions, increasing the risk of: Data leakage and unauthorized access. Data management: Processing data, memory, and state while retrieving information from multiple sources complicates governance. Security threats: Increased vulnerabilities such as data leaks. Legal Compliance: Navigate strict regulations including emerging frameworks such as GDPR, CCPA, PCI DSS, HIPAA, and EU AI laws. Sovereignty: Many countries already have data retention laws and have added regulations requiring models and data to meet sovereignty requirements.
Without robust security, privacy, and governance controls, these challenges can lead to violations, regulatory penalties, and diminished customer trust.
Skyflow Agentic AI security and privacy
“Agentic AI is built on a modern AI data stack, including Databricks (data intelligence platform) and Workato (enterprise orchestration). If you want your agents to act on your behalf, your customers, or your business, you need to be able to trust them with security, privacy, and responsible use. You can only trust a system if it is carefully constructed with guardrails for it.” Anshu Sharma, Co-Founder and CEO, Skyflow.
Skyflow provides a comprehensive solution for building secure and reliable AI agents, from collecting data to train and fine-tune models to performing actions on your behalf or within defined workflows. Securing every stage of the AI agent lifecycle, right up to the end. Skyflow provides the AI guardrails you need when:
Data collection by discovering and anonymizing sensitive data in real-time to minimize risk and ensure compliance with global standards. Protecting your training dataset with privacy protection techniques prevents leakage of sensitive data to the AI models used to train and fine-tune your models. agent. Execute agent tools and actions by securing data flows between tools and integrations (RAGs, datastores, SaaS apps, etc.) and maintain privacy while agents run. Prompt-and-response workflows protect sensitive user interactions. Dedicated AI gateway provides granular access control and real-time privacy enforcement.
Skyflow protects the lifecycle of AI agents with the ability to protect sensitive information through anonymization, which anonymizes data. It is a purpose-built AI gateway that protects sensitive interactions with unique two-way data rehydration capabilities. The solution includes authorization and auditing tools that ensure compliance with regulations such as GDPR, HIPAA, and EU AI laws, allowing businesses to build and deploy agents with confidence while meeting legal requirements. It will be.
“Workato is excited to partner with Skyflow. As we see enterprises rapidly move from initial prototyping to orchestration agents using AI, better protection of sensitive data becomes a priority. ,” said Vijay Tella, co-founder and CEO of Workato.
To explore the full range of Skyflow’s new solutions, check out our companion blog that details their capabilities.
About Skyflow
Skyflow is a security and privacy solution for modern AI data stacks built to radically simplify how enterprises isolate, protect, and manage their customers’ most sensitive data.
Skyflow is headquartered in Palo Alto, California and was founded in 2019. To see how Skyflow can help your business innovate securely, visit www.skyflow.com or follow us on X and LinkedIn.
