How Antigravity CLI can help teams respond to software vulnerabilities

Key takeaways:

• Agentic AI can help technology teams connect evidence across security advisories, code repositories, system errors, and response processes.
• Antigravity CLI can coordinate specialized subagents to investigate vulnerability-response questions in parallel.
• Human oversight, permissions, sandboxing, and clear governance remain essential when using agentic workflows.

Finding a serious software flaw is only the beginning. The harder job is connecting the clues, choosing a safe response, and proving the fix worked.

A security alert lands on a Tuesday morning. A widely used open-source library has a newly disclosed vulnerability. Within minutes, dashboards turn red and tickets begin to pile up. But the alerts don’t answer the questions that matter most: Are we actually exposed? Which applications use the library? Who owns them? Is there a safe fix?

For many technology leaders, the next step is a digital scavenger hunt. A security analyst reads the advisory, an engineer searches code repositories, an operations team checks recent errors. Someone else looks for the application owner and the right response guide. Each person may have a useful piece of the answer, but decisions only move as fast as the handoffs between them.

Agentic AI offers a more connected approach. Instead of creating one more alert, an AI agent can gather evidence, investigate several questions at once, and bring an engineer a clear, reviewable recommendation. Google Antigravity CLI makes that kind of work possible from a place many technical teams already use every day: the command line.

A command-line interface, or CLI, is a text-based way to work directly with software and systems. Antigravity CLI is Google's lightweight terminal experience for the Antigravity platform, which includes Antigravity 2.0, Antigravity IDE integrations and Antigravity SDK. It can reason through a task, inspect and edit multiple files, run approved commands, use connected tools, and remember the conversation as work progresses.

It can also delegate parts of a larger job to specialized subagents working in parallel. The main agent coordinates their work and brings the findings back together.

That ability matters because vulnerability response is rarely a single task. It's a web of questions about risk, ownership, software dependencies, recent changes, and possible fixes. Antigravity CLI can organize those questions as one investigation, instead of forcing people to chase them one by one.

Organizations can extend the CLI with plugins and skills, connecting it to approved tools through Model Context Protocol (MCP), providing a standard for how an agent can use outside tools and information. These connections need tight permissions, as an agent should see only the systems and data needed for that job.

As a CIO, think about how your teams would respond to our hypothetical threat disclosure. Before your teams can move forward with a fix, they need to understand the initial exposure and choose a safe response that doesn’t create new problems.

A vulnerability workflow launched through Antigravity CLI can divide that work into several focused investigations. One subagent studies the public security advisory and available repair guidance. Another searches approved code repositories to find applications using the affected version. A third compares recent system errors, support tickets, and software releases. A fourth checks the company's response guides and prepares a possible update, along with what tests will be needed to evaluate it.

The value to you isn’t simply having more agents, but having them work on related questions at the same time, within clear boundaries. Each subagent receives a specific assignment and only the tools it needs. The main agent compares the results, flags disagreements, and prepares one understandable case for action: what's affected, how confident the analysis is, what change is proposed, how it was tested, how it could be reversed, and what questions remain.

Antigravity CLI presents plans, proposed file changes, and test results as reviewable artifacts for a human engineer to inspect, comment, approve, or reject. The agent does the searching and organizing, but a person still owns the decision to change a live system.

If authorized, a workflow can also run approved tests and security checks in a contained environment and prepare a change for your normal review process. After deployment, monitoring can confirm that the vulnerability has been patched and the application is still healthy. If the checks fail, your workflow can alert the team or follow a previously approved rollback plan. What used to be a trail of disconnected tickets in your system can now be a traceable path from warning to verified fix.

A terminal agent is useful because it can do more than write an answer. It can read your files, use tools, and run commands. That’s also why safeguards can’t be an afterthought.

Antigravity CLI supports permission settings, interactive approvals, detailed rules for allowed and blocked commands, and a sandbox that can isolate command execution. Google also documents enterprise options for administrative controls, regional data residency, and request-and-response logging.

But technology controls are only part of the answer. You still need to decide who is responsible for an agent, what information it may use, what actions it may take, what evidence has to be saved, and when a person needs to step in. Existing security scanners and business systems should stay your official sources of record. Your agent's role is to connect the evidence, not replace the systems or people that own it.

The safest path is gradual. Start by letting the agent investigate without changing anything. Next, you can allow it to suggest a fix. When you’re ready, let it test proposed changes away from live systems. Only consider pre-approving a small number of low-risk, reversible actions once your organization has measured the agents’ reliability. Important production changes should remain human decisions.

Success isn’t the number of times an agent runs, but whether it helps people reach sound decisions sooner and with less repetitive work. Useful measures include how long it takes to identify the right owner to verify a fix, how often proposed fixes are accepted, how much rework people have to do, and whether the application stays healthy afterward.

Antigravity CLI doesn’t make vulnerability management effortless and it doesn’t remove accountability, but what it can do is change where people spend their limited attention. Instead of collecting fragments from several systems, engineers can evaluate a coherent case. Instead of moving tickets between queues, teams can focus on difficult exceptions and the deeper conditions that keep creating risk.

That's the larger promise of agentic operations: not automation for its own sake, but a faster path from warning to understanding to a responsible decision, and from that decision to a fix the team can verify.