We have entered a remarkable new era of productivity. For years, the industry spoke about digital transformation as a distant goal, but today, it is happening in real-time right at the front of every employee’s screen. AI is no longer just a feature; it has become the core operating system of modern work.From developers using AI to write code at lightning speed to marketing teams deploying autonomous agents to manage complex workflows, we are seeing a massive shift in how teams are deploying and using AI. But as with any major technological leap, this transition is also redefining the defensive perimeter.For a long time, the security community operated under a comfortable assumption: if we secured the "binary" layer, the traditional applications and operating systems, we had secured the enterprise. We built world-class tools to watch for malicious processes, and that was enough to keep the organization safe.However, as organizations shift toward frontier AI, we are discovering a structural blind spot. The modern endpoint is no longer just a device running Windows or macOS. It is now a stack of agentic software, sophisticated AI models, and specialized skills that are often self-provisioned by employees looking to work more efficiently.By bringing this new layer of intelligence into platforms like Cortex®, organizations are able to see a more complete story of their agentic endpoints and protect every interaction between AI agents, code, and data. This approach, powered by Koi technology, ensures that protection is natively built directly on the endpoint, which is the only location capable of providing continuous visibility and control over the entire AI attack surface in real time.This is about more than just stopping attacks; it is about giving an organization the confidence to lean into the future of AI. The era of the unmanaged endpoint is behind us. To learn more, visit https://paloaltonetworks.com/cortex/agentic-endpoint-security.Our approach with AES is different. It is designed to be native and frictionless. Koi runs quietly in the background to catch risky tools and dangerous plugins, allowing developers to move fast without having to navigate complicated security barriers.This is how we achieve real security: by making the right path the easy path.
The agentic perimeter is the new frontline
This new "non-binary" perimeter represents a fundamental shift in the software stack. Think about the average knowledge worker today. Their environment is a sprawling web of scripts, IDE extensions, package registries, and autonomous agents.These tools are what analysts call the "ultimate insiders" that demand cybersecurity oversight. They are powerful, essential to modern productivity, and yet they often operate outside the view of traditional security controls. This gap is not just a technical detail; it is a new architectural layer that requires a new way of thinking about defense.Traditional security has always been a game of catch-up. It waits for something to go wrong, detects the problem, and then tries to fix it. But when an autonomous AI can speed through an entire attack in minutes, waiting to react is no longer a viable strategy. As leaders, we should not have to choose between letting our teams use the best AI tools and keeping our organizations secure.Shifting left in agentic security
To thrive in this agentic era, we need to move the defensive line. Instead of scanning for threats after the fact, we need to secure the software supply chain to include AI agents and their endpoints.When an employee connects a new AI agent, they are not trying to launch an attack; they are trying to be productive. But in doing so, they may inadvertently bring unvetted, high-risk software into the heart of the enterprise. We need a way to manage the risk of trusted tools being used in untrusted ways.This is why industry leaders are increasingly turning to Agentic Endpoint Security (AES). By placing a highly context aware control point directly on the endpoint, organizations can finally close the visibility gap that frontier AI is already beginning to exploit.4 areas to consider when adopting agentic endpoint security (AES)
The goal of security should not be to add noise or slow people down. It should be about creating a safe, frictionless path for innovation and productivity to thrive. This vision has led to the development of Agentic Endpoint Security (AES), powered by Koi and recently acquired by Palo Alto Networks which operates seamlessly across four critical areas:- Visibility: It provides total and continuous visibility into every software artifact and autonomous agent, including AI models, extensions, and MCP servers, across all endpoints in real time.
- Contextual Decisions: Using a risk engine, it performs deep analysis of every software package, extension, and AI model to deliver context-aware risk scores based on reputation, code intent, and privilege boundaries.
- AI Governance and Control: It enables security teams to govern the entire AI ecosystem by enforcing granular policies and least-privilege configurations at the exact moment of deployment.
- Prevention: By uniquely controlling the agentic supply chain, it proactively intercepts and blocks risky AI components before they are even installed, shifting security from reactive triage to instantaneous prevention.
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For years, the industry has operated under a comfortable assumption: if we secure the "binary" layer, we’ve secured the endpoint. We built world-class EDR and XDR to watch for malicious processes, and for a long time, that was enough.But as organizations shift toward frontier AI and begin embedding agentic workflows everywhere, it’s clear that we are facing a structural blind spot. We have entered the AI-native era, where AI now sits at the front of every employee. It has effectively become the core operating system of modern productivity.This means the modern endpoint has been quietly taken over by a "non-binary" perimeter. Think about the average developer or knowledge worker today. Their environment isn't just Windows or macOS anymore; it’s a stack of agentic software, sophisticated AI models, MCPs, and specialized skills. Because these tools are often self-provisioned, they have become the "ultimate insiders," which are powerful, essential, and largely unmanaged.This isn’t just a new category of risk; it’s a new architectural layer that traditional security tools were never built to see, let alone control.The blind spot: Where traditional EDR fails
Traditional security tools are reactive and wait for threats to strike. In the era of AI, where agents can execute attacks at faster speed and broader scale, minutes matter. Each delay means more room for a critical vulnerability.In the modern workplace, employees are consistently adding new AI agents or coding extensions. However, this often inadvertently brings unvetted, high-risk software directly into the heart of the enterprise. Traditional security tools are built to catch malicious files, not to govern the behavior of the trusted AI tools your team uses daily. This creates a massive, invisible risk surface.This means we must shift from securing devices to securing how work actually gets done. The real danger lies in the AI-powered tools themselves. Instead of waiting for detections to catch when something goes wrong, we need to secure a space where current security is largely blind. CISOs shouldn't have to choose between driving innovation and maintaining a secure environment.This is why we have pioneered a Supply Chain Gateway (SCG) architecture. By placing a strategic control point at the moment of intake rather than waiting for a breach to happen, Agentic Endpoint Security (AES) closes the visibility gap that frontier AI is already beginning to exploit.New AI, who this? 4 things your AES solution needs
The goal of Agentic Endpoint Security (AES) isn't about adding noise or more alerts to your dashboard. It’s about creating a safe, frictionless path for innovation, productivity, and security to work together. By acting as a proactive gateway, AES ensures that the tools your team relies on are verified before they ever enter your environment.As AI evolves into the core operating system of productivity, security must evolve to be just as integrated, intelligent, and essential as the agentic workflows it protects. As organizations consider an AES solution, Koi provides a "Supply Chain Gateway" that uniquely can:- Discover Hidden Risks: Koi provides a clear, real-time inventory of every AI agent and extension in the environment. By eliminating the blind spots around shadow AI and dependency sprawl, it gives security teams the visibility to manage risks before they ever become a major breach.
- Secure Access Upstream: Koi protects data by vetting tool permissions and environment settings before they are even deployed. This ensures that a simple plugin doesn’t have excessive access to sensitive information or leaked credentials.
- Control Actions at Runtime: Koi provides what we call the "Agentic Leash" to keep autonomous agents within safe boundaries. By monitoring active sessions, it can instantly halt unauthorized behaviors or rogue scripts before they cause irreversible damage.
- Protect the Intake Gateway: Koi acts as a proactive guard at the front door of the software supply chain. Through sandboxing and pre-install gating, it ensures that only safe, verified software reaches team devices, blocking poisoned data or malicious updates from ever landing.