Salesforce adds a way to govern agent traffic across tools

What changed: Salesforce introduced MuleSoft Omni Gateway, a product meant to give companies one place to manage traffic across APIs, MCP connectors, language models, and AI agents already running across different systems. The company says the goal is to apply security, cost, and compliance rules consistently to agent actions rather than bolt on oversight later.

Why it matters: If you are selling or buying enterprise agents, this is a sign that governance is becoming part of the purchasing checklist, not an afterthought. Builders should expect customers to ask how agents are monitored, limited, and traced across every system they touch.

Try/watch: Map the systems your agent can touch and define what it is never allowed to do, such as approving refunds, deleting records, or sending regulated data without review.

Greenhouse brings AI agents into recruiting data with permissions

What changed: Greenhouse announced Greenhouse MCP, a connector that lets approved AI tools and agents work with Greenhouse hiring data while using existing permissions and audit trails. The company says customers can use it for hiring summaries, pipeline bottleneck analysis, candidate status roundups, audit narratives, and future assistants in Slack or Microsoft Teams.

Why it matters: Recruiting is a strong test case for agent adoption because the data is valuable, sensitive, and workflow-heavy. For operators, this points to a safer pattern: let agents work inside the hiring system of record instead of exporting data into unmanaged chat tools.

Try/watch: Start with read-heavy workflows, such as pipeline summaries for hiring managers, before allowing any agent to update candidate stages or send messages.

RELEX opens supply-chain planning to external agents

What changed: RELEX launched RELEX Open, a platform architecture that lets retailers, manufacturers, and wholesalers deploy existing planning capabilities, connect external AI agents through open protocols such as MCP, and build new capabilities on the RELEX platform. RELEX says agent, model, and human decisions follow the same business rules and are traceable.

Why it matters: Supply-chain agents are only useful if they can work with live planning logic, not stale exports. This gives buyers a model for evaluating agent-ready software: can your AI assistant see the same forecasts, constraints, and rules your planners use, and can you reverse or review its decisions?

Try/watch: Pick one planning workflow with clear rules — replenishment exceptions, promotion review, or forecast variance checks — and test whether an agent can reduce review time without changing decision rights.

Cognizant packages security services for agentic systems

What changed: Cognizant launched Secure AI Services to help enterprises secure, govern, and scale AI and agentic systems across their operations. The offering covers secure agent development, cybersecurity signals, traceability, policy enforcement, model security, data protection, identity controls, and agent behavior controls.

Why it matters: As agents get access to company data and business applications, traditional security reviews are not enough. Consultants and builders can turn this into a concrete offer: assess what agents can access, how they can be manipulated, who approved them, and what evidence exists when something goes wrong.

Try/watch: Before expanding an agent pilot, run a misuse review: poisoned prompts, wrong permissions, data leakage, fraudulent approvals, and whether logs would be good enough for an audit.