Skyflow announces Agentic AI security and privacy layer

Security and privacy company for the modern AI data stack, Skyflow has unveiled new capabilities for Agentic AI. These allow enterprises to build and deploy AI agents with a security and privacy trust layer with features that include protecting sensitive data flowing in and out of AI agents, auditing & logging, governance, and compliance with global and regional data protection measures.

There is a new ecosystem emerging for agentic apps - built on a new AI data stack. Skyflow is announcing partnerships with Databricks, the data and AI company, and enterprise orchestration platform, Workato, adding to its existing partnerships announced last year with Snowflake, AWS and others.

As AI advances from simpler apps that use one LLM to deploying intelligent agents, enterprises face new data privacy, security, and governance challenges. Last year, Skyflow introduced the GPT Privacy Vault, which has become a leading solution for Gen AI security & privacy.

Now, with the rise of Agentic AI – autonomous agents capable of reasoning, decision-making, and action – businesses face an entirely new set of challenges that traditional security measures are ill-equipped to solve -

●        Access to Sensitive Data (e.g., PII): AI agents often require access to highly sensitive data, such as transaction histories or medical records, to perform tasks effectively.

●        Complex Interactions: Agents engage in many-to-many interactions, increasing the risk of data exposure and unauthorized access.

●        Data Management: Handling data, memory, and state while retrieving information from multiple sources complicates governance.

●        Security Threats: Heightened vulnerabilities, including data leaks, exfiltration, and AI-specific risks such as prompt injections.

●        Regulatory Compliance: Navigating strict regulations, including GDPR, CCPA, PCI DSS, HIPAA, and emerging frameworks like the EU AI Act.

●        Sovereignty: Many countries already have laws for data residency, and are adding regulations that require models and data to meet sovereignty requirements.

“Agentic AI will be built on a modern AI data stack, and we are excited to be partnering with leaders like Databricks (Data Intelligence Platform) and Workato (enterprise orchestration). If we want agents to act on behalf of our employees, customers, or enterprises, we will need to be able to trust them – and you can only trust a system if it’s built thoughtfully with guardrails for security, privacy and responsible use,” said Anshu Sharma, co-founder and CEO of Skyflow.