Andrej Patel
@andrejpatelBrowser agents are useful. Browser agents in production are terrifying. The missing layer is deterministic enforcement — not another LLM judge.
Apr 12Read on X →
Now in private beta
The Governance Layer
for AI Browser Agents
Acira sits between your AI agent and the browser. Define what agents can do, block what they can't, keep full agent capability — without sacrificing control.
The market
Every team is racing to ship agents. No one has shipped the brakes.
70%+
of enterprise agent pilots stall before production
0
deterministic enforcement layers between agent and browser
1
irreversible action is all it takes to break trust
The product
The governance layer for browser-native AI agents.
Acira sits between your agent runtime and the browser, enforcing policy at the protocol layer. Your agent keeps its full capability — your team keeps full control.
01
Policy as code
Declare what your agent can do — by domain, action, data class. Versioned, reviewable, testable. No more prompt engineering safety into existence.
02
Browser-level interception
Acira sits in the Chrome DevTools Protocol layer. Every click, fill, and navigation is evaluated against your policy before it reaches the page.
03
Deterministic, every time
Rules don't hallucinate. The same input produces the same outcome — every run, every customer, every agent. Auditable from day one.
See it work
A control plane your agentscan't bypass.
Watch Acira intercept a live agent action in the browser, evaluate it against your policy, and decide — all before a single keystroke reaches the page.
acira.ai / agent · sandbox
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Early Access
Be among the first teams
to deploy controlled agents.
We're onboarding a small group of early partners. Drop your email and we'll reach out when your spot opens.
Why teams pick Acira
Built for the moment trust stops being optional.
01 / 04
Move from pilot to production
Trust isn't a prompt — it's an enforcement layer. Stop debating safety in standups and ship.
02 / 04
Define guardrails once
One policy file covers every agent, every customer, every environment. Versioned and reviewable.
03 / 04
Prove what your agent did
Every decision is logged with the rule that fired and the action that was allowed or blocked.
04 / 04
Integrate in minutes
Drop-in browser configuration. No agent rewrites. Works with any framework that speaks CDP.
Why teams pick Acira
Built for the moment trust stops being optional.
01 / 04
Move from pilot to production
Trust isn't a prompt — it's an enforcement layer. Stop debating safety in standups and ship.
02 / 04
Define guardrails once
One policy file covers every agent, every customer, every environment. Versioned and reviewable.
03 / 04
Prove what your agent did
Every decision is logged with the rule that fired and the action that was allowed or blocked.
04 / 04
Integrate in minutes
Drop-in browser configuration. No agent rewrites. Works with any framework that speaks CDP.
Who it's for
Built for teams shipping real agents.
Enterprise SaaS
Internal agents on production systems
Allow your agent to triage tickets in Salesforce — and explicitly forbid record deletion, refunds over $X, or any action outside the support pipeline.
AI-Native Startups
Customer-facing agents at scale
Ship a public-facing agent without losing sleep. Acira enforces per-tenant policies and prevents cross-customer data exposure at the browser layer.
Regulated Industries
Compliance-first deployments
Provable enforcement, full audit trails, and deterministic decisions — the building blocks security and legal teams require to sign off on agent deployment.
Signal
The conversation is moving toward governance.
What engineers, operators, and founders are saying about the gap between agent capability and agent control.
Sara Lin
@saralin_engSpent the week shipping "agent guardrails." Realized I wrote the same allow-list logic 4 times in 4 different repos. We need a layer.
Apr 09Read on X →
Yusuf Diallo
@yusufdEvery enterprise pilot I've seen stalls at the same gate: legal asks "what is it allowed to do?" and the answer is a prompt.
Apr 03Read on X →
Maya Okonkwo
@mokonkwoThe next infra primitive for AI is not another model. It's policy at the protocol layer. Whoever owns that owns the deployment story.
Mar 28Read on X →
Daniel Roth
@drothbuilds"Our agent did something we didn't expect" is not a bug report. It's a missing enforcement layer.
Mar 21Read on X →
Priya Shah
@priyashah_aiWatched a demo today where the agent accidentally clicked "delete" and the room went silent. We are not ready for production agents without a brake pedal.
Mar 15Read on X →
Ship agents your team can actually trust.
Early access is limited. We onboard a small group at a time so we can move fast with each design partner.