CIO Security Deep Dive: Zero Trust Architecture and Code Mode for AI Agents
How to mitigate execution risk, prevent prompt manipulation, and implement deterministic controls for enterprise AI agents. A security-first approach to agent governance.
This article is part of the CIO Guide series. Full content coming soon.
Coming Soon
This deep dive will cover:
- Zero Trust architecture for AI agent execution
- Code Mode: deterministic execution vs. prompt-based improvisation
- Mitigating prompt injection and manipulation risks
- Execution boundaries and least-privilege access patterns
- Security monitoring and anomaly detection for agent workflows
CIO Guide Series
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What is "Code Mode" for MCP—and why Palma.ai makes it enterprise-ready (and portable)
Code Mode turns multi-hop agent flows into deterministic code that runs in isolates and calls only approved MCP tools. The payoff is higher accuracy, lower token spend, and real governance. Palma.ai brings these ideas to the enterprise—on-prem, no vendor lock-in, with policy, audit, and cost controls at the tool boundary.
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Small Language Models (SLMs) can orchestrate complex, multi-tool work if you stop asking them to improvise hop-by-hop. With Code Mode, the agent emits a plan, your model compiles that plan into code, and that code runs in isolates that can call only policy-approved MCP tools.
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