Key takeaways

1. In the age of AI, visibility is not enough: findings pile up faster than any team can work through them, and attackers exploit the gap in the meantime.
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2. Act secures the cloud from the foundation, closing the access paths every breach depends on before an exploit ever finds them.
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3. Act takes an action-centric approach, cutting the excessive access that already exists and preventing new drift from ever crawling back.

AI is shifting the ground under our feet. Frontier AI models like Claude Mythos shrank time-to-exploit from months to minutes, turning every minor flaw into a critical risk the moment it's found.
At the same time, the AI agents everyone is racing to deploy are already running loose across production, reasoning, improvising, and taking action completely on their own.

Here’s the part that’s easy to miss: every breach relies on the exact same thing to succeed: access. Access lets attackers break into your cloud, move through your environment to their target, and - when the time comes- slip out the back door with your data.

While the industry spent a decade obsessed with exposure - chasing vulnerabilities and misconfigurations - access was quietly sprawling out of control underneath.
A 2026 industry *study found that 96% of granted access goes unused, and every one of those dead paths is still a wide-open road to your most important systems and data. AI agents inherit all of it, then race through every open road at machine speed.

Act blocks the roads, making sure no attacker, or rogue agent, ever gets a free ride to your data or crown jewels. We turn that access sprawl in your cloud into contextual boundaries, removing excessive access at the source and putting a moat around your critical systems and data.

Why acting first beats reacting faster

None of this is a fringe opinion anymore. Gartner projects preemptive security capabilities will grow from under 5% of IT security spending in 2024 to 50% by 2030, overtaking standalone detection and response as the default way organizations defend against AI-enabled attackers. The shift is happening because the old math stopped working the moment an attack could finish before a human ever saw the alert. The Five Eyes cyber security agencies made the same point in their joint statement on AI and cyber risk this year: "Breaches will occur. Preparedness helps you contain them quickly and prevent escalation into major operational and financial crises." We couldn't agree more, and we'd push the idea one step further. Containing a breach quickly is a lot easier when the attacker, or the rogue agent, was never going to have anywhere to go in the first place.

That's the bet Act makes. If access is the one thing every breach depends on to turn into an operational and financial crisis, the highest-leverage form of preparedness is making sure that a box is already built before anything goes wrong: the paths closed off, the boundaries in place, so containment isn't a scramble. It's already there.

Act takes a foundational, action-centric approach

What makes Act different isn't just the focus, it's the mechanism. Most tools look at identity or network, rarely both, and almost never alongside what your AI agents or AI powered attackers can actually reach. Act reasons across all three together, comparing configured access, what anyone or anything can reach, against observed access, what's actually used to keep operations running smoothly. Whatever falls in the gap between the two gets removed, and the boundaries go up to keep it from creeping back. Because enforcement runs through the native controls your cloud already provides, there's no new agent to deploy, just less access sitting around waiting to be abused.

• Eliminate risk, don't just get told about it.
  Instead of analyzing the finding of the week, Act removes the root cause that makes any of those findings exploitable in the first place.

• Solve once, eliminate at scale.
  By using contextual cloud boundaries, you remove many access paths with a single action -and once those paths are closed, every finding that sat on them becomes irrelevant and drops off your patching list.
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• Fix what exists, block what comes next.
  Act cuts the excessive access already sitting in your environment today, then blocks new unnecessary access from quietly creeping back in.

How Act works

Here's the lifecycle behind it, four stages that narrow the gap between what's allowed and what's actually needed:

• Contextual Boundary Discovery.
  Act connects to your cloud through a read only integration and maps everything running there, whether you know about it or not, the way your business actually thinks and operates: real applications, environments, and data, not a tangle of raw cloud constructs.
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• Cloud Access Modeling.
  Act brings identity and network together into one unified access map that covers every asset in your environment, active or dormant, then analyzes it across two dimensions: configured access, everything anyone or anything can actually reach and act on, and observed access, what's actually being used to keep things running. The gap between the two is your risk.
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• Access Hardening Campaigns.
  Act plans and authors the exact policy changes needed to close those open paths and wall off your crown jewels, so the only thing that can reach them is what actually should. Guided, structured campaigns let you take out hundreds or thousands of access paths with a single policy change: restructuring cloud accounts, rightsizing permissions, ring fencing applications, and putting contextual boundaries in place across all six of Act's boundary types:
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  • External perimeter. Restrict unintended inbound external access; eliminate data exfiltration.
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  • Human access. Rightsize non-admin human access; eliminate standing privileged human access.
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  • Environment. Restrict access to production and management environments; isolate sandbox environments.
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  • Application. Ring-fence applications; secure application data and compute; block lateral movement.
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  • AI. Contain endpoint AI agents; govern AI infrastructure; ring-fence cloud AI agents.
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  • Data compliance. Restrict regulated data access; isolate customer tenants; enforce data residency.
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• Policy Simulation and Enforcement.
  Act builds a digital twin of your environment to simulate each policy change first, confirming exactly what it will affect before anything touches production. Once a change is validated, you apply it directly through your cloud's own native controls, using whatever your team already works in: tickets, AI tools, or IaC platforms like Terraform. Nothing new to install, and Act keeps watching so risky new access gets caught before it ever ships. You clean up the excessive access you have today, and stay protected from what comes next.

What this means for your team

Put together, here's what that changes day to day:

• Eliminate critical attack paths before exploitation. Close off every unnecessary path in, through, and out of your cloud, leaving attackers and rogue agents with nowhere to go.
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• Enable AI adoption without sacrificing control. Lock down AI risk at the infrastructure layer so your teams can innovate freely.
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• Keep security teams effective. Less risks to triage, because the root cause is gone instead of just documented.
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• Ensure provable, continuous compliance. Perimeter and data-boundary enforcement map directly to what NIST 800-53, PCI DSS, and HIPAA actually require.

See Act in action

Threats change. A strong foundation stands every threat. It's time to Act.

Reading about eliminating access paths is one thing. Seeing what's actually reachable in your own cloud is another. Book a free assessment with our team and we'll show you what access really looks like in your own infrastructure.

*Source: The 96% Blind Spot, Oso and Cyera, 2026.

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