--- title: Secure AI Agents | Governance & Sandboxing for Agentic AI | Lattix description: Run autonomous AI agents safely. Lattix sandboxes agent execution under signed capability tokens, policy gates, and replayable audit, local-first and air-gap capable. source: "https://lattix.io/use-cases/secure-ai-agents/" content-type: text/markdown --- # Secure AI Agents | Governance & Sandboxing for Agentic AI | Lattix [All Use Cases](https://lattix.io/use-cases/) AI SECURITY / AGENTS # Let AI Agents Act, Under Enforceable Control Autonomous agents read data, call tools, and take actions on their own. Without an enforceable runtime that is a standing liability. Lattix runs agents inside sandboxes, under signed capability tokens and policy gates, with every action signed and replayable. Request a Demo [Explore Products](https://lattix.io/products) /01 The Challenge Agentic AI moves from generating text to taking actions, querying systems, calling APIs, executing code, moving data. That power is exactly what makes it dangerous when ungoverned. An agent with broad credentials and no boundaries can exfiltrate data, trigger destructive operations, or be steered by prompt injection into doing the attacker's bidding. Most teams bolt agents onto production with implicit trust and no audit trail, then discover after an incident that they cannot prove what the agent actually did. - Agents run with broad, standing credentials and no least-privilege boundary. - Prompt injection and tool misuse can turn a helpful agent into an exfiltration path. - There is no sandbox between agent-executed code and the host environment. - Actions taken by agents are not reliably logged, signed, or replayable for investigation. - Security blocks agentic projects because the runtime cannot be governed or audited. /02 How Lattix Solves It 01 Sandbox Every Agent Action Lattix executes agents inside auto-detected sandboxes (kernel isolation, Docker, or gVisor/Kata) so agent-run code is contained from the host. Agents get an execution environment, not a foothold, and the blast radius of a misbehaving or hijacked agent is bounded by design. 02 Gate Capabilities With Signed Tokens Agents act under signed Biscuit capability tokens and Open Policy Agent gates. Every tool call and data access is checked against policy at the moment of use, enforcing least privilege on autonomous behavior, an agent can only do what it has been explicitly, verifiably authorized to do. 03 Mask Sensitive Data Inline Built-in DLP masks sensitive data as it flows through agent context and tool calls, so secrets and regulated fields do not leak into model context, logs, or downstream actions, closing the most common agentic exfiltration path. 04 Sign and Replay Every Event Every agent event is cryptographically signed and replayable. When you need to explain (or defend) what an agent did, you have a tamper-evident, reconstructable record instead of guesswork. Audit and incident response become deterministic. /03 What You Get ### Contain Agent Blast Radius Sandboxed execution keeps agent-run code isolated from the host and the rest of your environment. ### Enforce Least Privilege Signed capability tokens and policy gates limit agents to explicitly authorized tools and data. ### Blunt Prompt Injection Policy and DLP at the point of action stop hijacked agents from exfiltrating or acting out of scope. ### Replayable Audit Signed, replayable events give you deterministic answers about what every agent did. ### Local-First & Air-Gap Capable Run from a laptop to hardened Docker to Kubernetes, including disconnected environments. ### Open and Model-Agnostic Open-source orchestration that works across model providers and tool ecosystems. /04 Aligned & Connected ### Helps You Align With Lattix provides the technical controls and audit capabilities to help your organization meet the requirements of these frameworks. NIST AI RMF ISO/IEC 42001 NIST 800-207 EU AI Act ### Explore Further - [AI Security](https://lattix.io/ai-security/) - [Policy-Based Governance](https://lattix.io/solutions/policy-based-governance/) /05 Frequently Asked ### How does Lattix make AI agents secure? Lattix runs agents inside auto-detected sandboxes under signed Biscuit capability tokens and Open Policy Agent gates, masks sensitive data inline with built-in DLP, and signs every event for replay. Agents can only take explicitly authorized actions, and everything they do is contained and auditable. ### Can Lattix stop a prompt-injected agent from exfiltrating data? Yes. Because capabilities are gated by policy at the moment of use and sensitive data is masked inline, a hijacked agent cannot reach tools or data it was not authorized for, and regulated fields do not leak into context or downstream actions. ### Can Lattix run in air-gapped environments? Yes. Lattix is local-first and runs from a laptop to hardened Docker to Kubernetes, including air-gapped and disconnected deployments, with enforcement and audit running locally. ### Is it tied to a specific LLM or agent framework? No. Lattix is model-agnostic, providing the enforceable, auditable runtime layer beneath whatever models and tools your agents use. ## Run Agentic AI Under Control Tell us about your agent workflows and the systems they touch, and we'll show you how Lattix sandboxes, gates, and audits every action. Trouble with the form?[info@lattix.io](mailto:info@lattix.io)ยท[Book a call](https://outlook.office.com/book/LattixBookings1@lattix.io/)