How Protegrity and Composio secure Agentic AI workflows. By Muneeb Hasan, Senior Partner and Alliances Solution Engineer Jul 7, 2026 Share: The enterprise rush to adopt agentic AI is hitting a massive roadblock: data security. While standard Large Language Models (LLMs) can answer simple prompts, true enterprise value lies in AI agents - autonomous systems that can actively read, reason, and write across your corporate software ecosystem. But giving an AI agent the "hands" to access Salesforce, Jira, Slack, or any other platform introduces unprecedented risk. How do you leverage the reasoning power of an AI agent without exposing your most sensitive corporate assets - PII, PHI, and PCI - to the LLM or third-party platforms? The answer lies in a groundbreaking architectural integration between Composio, the AI agent orchestration platform, and Protegrity, the global leader in data protection. Together, they introduce the "Privacy Sandwich" - a design pattern that enables a true Zero Trust AI workflow. The business value: unleashing AI productivity without the risk. For CXOs and security leaders, this integration solves the ultimate AI paradox: balancing aggressive innovation with strict regulatory compliance, including GDPR and HIPAA. By embedding Protegrity's robust data protection directly into Composio's flexible agentic workflows, enterprises can realize three core business benefits: Zero Trust AI reasoning. The core philosophy of this integration is simple: an LLM does not need to know a customer's real name or credit card number to understand their intent. Protegrity sanitizes data by finding and redacting sensitive PII, PCI, PHI, and other protected information. By feeding the AI sanitized, format-preserving semantic protection instead of raw data, your business can securely use public, private, or hybrid LLMs. Elimination of third-party data leakage. When AI agents leverage Composio to connect with external applications, there is a constant risk of data exposure. The "Privacy Sandwich" ensures that data is neutralized by applying Protegrity's data protection before it leaves your secure perimeter. Even if an agent interacts with an external cloud service, it passes secure semantic protection rather than sensitive data. Dynamic, identity-aware compliance. Not all human users are created equal in the eyes of compliance. When an AI agent formulates a response, Protegrity automatically evaluates the role and privileges of the specific human interacting with the agent. An HR manager can see unprotected data they are authorized to view, while a general support agent sees semantically protected data - all from the same AI workflow. The technical blueprint: how it works under the hood. Achieving this level of security requires tightly coordinated choreography between Composio's orchestration capabilities and Protegrity's centralized policy engine. [External Sources] | (Composio Ingestion) | [Protegrity Gateway] | (Sanitized Data) | [LLM Processing] | [Authorized Human] | (Identity Check) | [Protegrity Gateway] | (Tokenized Output) | + The process spans three fundamental technical phases: Phase 1: Ingestion and initial protection - The inbound shield. * Multi-source orchestration: Composio acts as the "hands" of the enterprise, triggering APIs to gather raw datasets from platforms like Salesforce or Jira. * Automated discovery: Before this raw payload touches the LLM, it passes through the Protegrity Gateway, which scans unstructured text to automatically identify sensitive entities. * Format-preserving tokenization: Protegrity replaces sensitive elements with format-preserving tokens. For example, John Doe becomes Person_Token_882. The LLM receives an entirely sanitized context. Phase 2: secure reasoning and secondary action. * Context preservation: The LLM processes the request using tokenized data. If it decides to execute a secondary task, such as "Update ticket for User_Token_123," Composio passes that exact token to maintain context across systems. * Intermediate validation: If Composio's secondary actions pull new data into the conversation loop, the Protegrity Gateway immediately intercepts, discovers, and sanitizes it before the LLM processes it again. Phase 3: egress and role-based access control. * Response interception: The LLM generates its final output, which still contains semantic protection. * Dynamic de-identification: The Protegrity Gateway intercepts the outbound message, queries Protegrity Policy Management, and checks the user's active directory role. The gateway either dynamically semantically unprotects the data for authorized users or leaves it masked for unauthorized users. Advanced deployment: the vault approach. For highly strict regulatory environments, enterprises can opt for the Local Execution Pattern. Rather than relying on hosted cloud infrastructure, the Composio Local Runner is deployed directly within your private network. It hooks directly into your local data vault, ensuring PII is only unmasked in memory at the final moment before being pushed to a secure API destination. Conclusion. The future of enterprise productivity belongs to autonomous AI agents, but innovation cannot come at the cost of security. By combining Composio's powerful integration fabric with Protegrity's Zero Trust data protection, organizations no longer have to compromise. Are you ready to safely accelerate your agentic AI roadmap? Reach out to learn more about implementing the Protegrity and Composio integration in your environment. Frequently asked questions. What is Agentic AI, and why does it introduce new data security risks? How does the Protegrity and Composio integration ensure Zero Trust AI processing? What is format-preserving tokenization in the context of LLM workflows? Can different users see different data outputs from the same AI agent workflow? How do Protegrity and Composio support strict local or on-premises data compliance? Summary. * Protect Data Before the LLM Protegrity and Composio use a "Privacy Sandwich" architecture to sanitize sensitive data before AI processing and enforce policy before output. * Use AI Agents With Less Data Exposure Teams can connect agents to enterprise tools while reducing exposure of PII, PHI, and PCI through tokenization, semantic protection, and role-aware controls. Build safer AI with protected data. Get practical insights on securing sensitive data across AI pipelines, analytics workflows, GenAI systems, and regulated environments. This site is protected by reCAPTCHA. Recommended next read. Blogs. See how Protegrity and OpenTeams make sensitive enterprise data usable... Learn why Microsoft 365 Copilot rollouts often stall when overshared...

Protegrity and GIOS Technology Partner on secure enterprise AI adoption. By Protegrity. Jun 25, 2026. Summary. 5 min. * Protegrity and GIOS Technology partner to help regulated enterprises adopt AI securely: The partnership brings together Protegrity's AI security capabilities and GIOS Technology's advisory and implementation expertise, helping organisations use sensitive data in AI while maintaining control, compliance, and data sovereignty. * The partnership focuses on AI governance, sovereign data, and protected analytics: Protegrity and GIOS Technology will address practical barriers to secure AI adoption, including cross-border data use and consistent protection of sensitive data across AI workflows. Protegrity and GIOS Technology Partner to Help Regulated Enterprises Move AI From Pilot to Production Safely Protegrity, a global leader in data and AI security and privacy, today announced a partnership with GIOS Technology to help regulated enterprises adopt AI while maintaining stronger control over sensitive data. AI projects often stall when teams cannot get safe access to the data they need. Security teams restrict access to reduce exposure. Data and AI teams need broader context to produce useful results. Governance teams need evidence that sensitive data remains protected across systems, regions, and workflows. The partnership brings together Protegrity's data-centric protection and AI security capabilities with GIOS Technology's advisory, cloud, data, and transformation expertise. Together, Protegrity and GIOS Technology will help customers build AI workflows that keep sensitive data protected, usable, and governed across complex enterprise environments. For customers, the value is practical. Protegrity helps protect sensitive data at the data layer, so it can remain usable for analytics and AI while reducing exposure. GIOS helps organisations apply those capabilities across the environments where AI work happens, including hybrid cloud, multi-cloud, analytics, and enterprise data platforms. This combination addresses a growing challenge for regulated organisations: AI cannot scale through one-off approvals, manual controls, or data access exceptions. Each new use case raises questions about which data can be used, where it can move, who can access it, how it is protected, and how that protection can be proven. Through the partnership, Protegrity and GIOS Technology will focus on secure AI workflows, sovereign data governance, and protected analytics. The partnership will explore practical issues including cross-border data use, and safe access to sensitive data for AI and analytics. "Enterprise AI is not being held back by a lack of ambition. It is being held back by the challenge of using sensitive data safely," said Chris Gaebler, CMO of Protegrity. "Together with GIOS Technology, we are helping customers close that gap. Protegrity provides AI security and knowledge protection, while GIOS brings the advisory and implementation expertise to make it work across complex enterprise environments. That gives organisations a more practical path from AI experimentation to production." "Many organisations know where they want to go with AI, but they need help turning governance, security, and data protection requirements into working operating models," said Stephen Masefield, CRO at GIOS Technology. "Our partnership with Protegrity helps customers apply data protection in the environments where AI actually runs - across cloud platforms, analytics workflows, and enterprise systems. The result is a more practical route to AI adoption in regulated settings." By combining AI security with transformation and implementation expertise, Protegrity and GIOS Technology help customers move beyond AI experimentation and build governed, repeatable patterns for secure AI adoption. About Protegrity. For more than two decades, Protegrity has been a global leader in data security, protecting the sensitive data of the largest brands in the world. Its platform lets enterprises discover and classify specific sensitive data sets, allowing them to control how they safeguard that data. With Protegrity, companies can leverage protected data securely and compliantly wherever it's stored. About GIOS Technology. GIOS Technology is a specialist consultancy delivering Advisory, Cloud Transformation, Data Insights, AI Consultancy, Observability, and Security solutions to organisations operating in complex, data-driven environments. Established in 2007, Protegrity USA, Inc. partner with enterprises, public sector organisations, technology vendors, and consultancies to solve critical challenges across cloud, data, automation, security, and resilience. Recommended next read. News. James Rice explains that AI workflows retrieve, transform, and recombine... Consumer scams are becoming harder to recognize because they often... AI is beginning to change not just how vulnerabilities are...