The rapid rise of autonomous AI coding assistants - like Cursor, Claude Code, Codex, and Antigravity - is driving unprecedented productivity gains across modern software engineering teams. However, as AI agents gain access to local developer terminals, sensitive source code repositories, and external APIs, they also open a new, unmonitored attack surface at the endpoint.
To solve this challenge without slowing down employee productivity, Palo Alto Networks is introducing a unified security solution that combines Cortex® Agentic Endpoint Security (AES) and Prisma® AIRS (AI Runtime Security). Cortex AES proactively secures the endpoint by discovering AI artifacts, agents, and extensions, assessing risk, setting policy, and enforcing protection locally. Prisma AIRS complements this by inspecting the content of prompts, MCP tool calls, and network interactions in real time. Together, they scale AI security across the enterprise, giving organizations consistent, holistic coverage for endpoint, cloud, and SaaS agents — so they can adopt agentic AI tools with confidence.
The Developer Endpoint Security Gap
Organizations deploying AI coding tools face a critical dilemma: ungoverned agentic endpoint activity creates massive security blind spots.
As developers rely on AI agents to run shell commands, fetch external web resources, and execute Model Context Protocol (MCP) tools, traditional network and endpoint controls fail to inspect the underlying intent and content of these agentic interactions.
Without automated, centralized guardrails, security teams face severe business risks:
- Shadow AI and policy inconsistency: Disparate AI coding tools get adopted across thousands of endpoints making it difficult to enforce uniform security policies.
- Data and credential exfiltration: Accidental or malicious exposure of proprietary source code, secrets, API keys, and customer PII within AI prompts and tool outputs.
- Agent hijacking and injection: Malicious code or compromised web content manipulating AI agents on the endpoint to execute destructive commands or elevate privileges.
- Operational bottlenecks: Securing endpoints manually requires per-device configurations that collapse at enterprise scale, forcing teams to either compromise on security or block developer innovation.
Enterprise-Wide Guardrails for AI Coding Tools
With Cortex AES and Prisma AIRS, detection is defined once and enforced everywhere. Security teams configure detectors in Prisma AIRS, then build a Cortex AES runtime policy that scopes to the agents and endpoint groups they choose and applies a protection profile to the prompts, MCP tool calls, and network calls it covers. Cortex AES enforces every verdict on the device, tells the employee why an action was blocked, and records the event in the agent's session timeline.
No per-device setup and no configurations to maintain: one policy protects every AI agent, across endpoint, SaaS, and cloud. Employees keep building. Enforcement shows up only on a violation, with a clear reason and a path to request an exception, so security scales with the rollout instead of throttling it.
Seamless Protection Without Friction
| Component | Responsibilities |
|---|---|
| Cortex AES (Agentic Endpoint Security) |
|
| Prisma AIRS (Runtime Threat Detection) |
|
Key Outcomes
Zero-touch governance at enterprise scale: Security leaders can enforce fleet-wide and seamless centralized endpoint configuration, consistent security policies across every user endpoint - no per-device hooks, no scripts to maintain, no blind spots from tools security did not know about.
Unified and centralized visibility to AI agent activities: Gain a unified view of all AI agent activity and actions across the organization. Every intercepted call and every verdict attributed to the Prisma AIRS detector that produced it, shown in the agent's session timeline, tied to the device, agent and policy. Security teams can answer what happened, on whose machine, and under which rule, without reconstructing it from logs.
Real-time prevention against advanced AI threats: Prevent sensitive data exfiltration (secrets, API keys, customer PII) and block prompt injection or indirect tool manipulation attacks before they execute on the endpoint.
Uncompromised end-user productivity: Security runs in the background, and employees keep working in their preferred AI coding tools (Cursor, Claude Code, etc.). When a policy violation occurs, the user gets immediate, clear feedback in the agent itself, plus a path to request an exception, so a block is a short detour rather than a dead end.
Getting Started Today
Agentic AI tools are transforming software engineering, but innovation cannot come at the expense of security. With Cortex® Agentic Endpoint Security (AES) and Prisma® AIRS, Palo Alto Networks empowers security and engineering leaders to say "yes" to AI coding assistants—ensuring full visibility, real-time protection, and seamless compliance across every endpoint.
- To learn more about securing AI coding tools, visit: Secure AI Coding solution page
- Book a demo: Contact Prisma AIRS AI Security Experts and Cortex Agentic Endpoint Security Security Experts
- Ready to build: Visit the Prisma AIRS Documentation and Cortex AES Documentation to get started.