Blog & Category Matrix

Insights & Guides (107 Articles)

AI agent security, runtime governance, MCP protection, and category benchmarks.

Platform Comparison·July 2026

Gaussian vs AI Gateways: Which Approach Scales Better?

AI Gateways operate as HTTP reverse proxies in the cloud, whereas Gaussian enforces AI Runtime Security directly at the OS endpoint kernel (process lineage, file access, CDP, and egress).

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Platform Comparison·July 2026

Gaussian vs Traditional DLP for AI Workflows

Traditional DLP relies on static pattern matching (SSN/Regex), whereas Gaussian correlates dynamic AI agent behavior and prompt extraction across local disk and network egress.

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Platform Comparison·July 2026

Gaussian vs EDR: What's the Difference?

Traditional EDR tracks binary malware hashes and kernel exploits, whereas Gaussian correlates the multi-step intent graph of benign signed runtimes (Node, Python, Cursor).

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Platform Comparison·July 2026

AI Runtime Security vs AI Firewall

An AI Firewall inspects prompt inputs, while AI Runtime Security governs total OS system execution (subprocess spawning, local file reads, and synthetic hardware events).

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Platform Comparison·July 2026

AI Runtime Security vs AI Gateway: Execution Layer vs Proxy

AI Gateways inspect API HTTP payloads; AI Runtime Security governs local agent execution primitives (eBPF, EndpointSecurity, AX, CDP).

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Platform Comparison·July 2026

AI Runtime Security vs Browser Isolation

Browser Isolation streams remote DOM pixels, whereas AI Runtime Security governs native local desktop agents, terminal CLIs, and local MCP tool servers.

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Platform Comparison·July 2026

AI Runtime Security vs CASB

CASBs govern cloud SaaS applications via API connectors, while AI Runtime Security protects the local workstation execution plane where AI agents operate.

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Platform Comparison·July 2026

AI Runtime Security vs DSPM

Data Security Posture Management (DSPM) scans static cloud datastores, whereas AI Runtime Security governs real-time data movement in active LLM prompts.

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Platform Comparison·July 2026

AI Runtime Security vs SSPM

SSPM audits SaaS security configurations, while AI Runtime Security audits real-time execution boundaries on developer workstations.

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Platform Comparison·July 2026

AI Runtime Security vs CNAPP

CNAPP secures cloud workloads and containers, whereas AI Runtime Security secures local desktop AI agents, terminal CLIs, and MCP servers.

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Platform Comparison·July 2026

AI Runtime Security vs Endpoint DLP

Endpoint DLP monitors manual file copy actions, whereas AI Runtime Security monitors autonomous AI agent file indexing and prompt insertion.

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Platform Comparison·July 2026

AI Runtime Security vs Insider Risk Management

Insider Risk Management tracks human employee anomalies, while AI Runtime Security tracks synthetic AI employee behavior and prompt injection attack chains.

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Platform Comparison·July 2026

AI Runtime Security vs Data Classification

Static data classification tags static files, whereas AI Runtime Security dynamically protects confidential repositories during live agent reasoning sessions.

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Platform Comparison·July 2026

AI Runtime Security vs Identity Governance

Identity Governance manages IAM roles, whereas AI Runtime Security binds ephemeral agent session identities to local OS execution PIDs.

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Runtime Security·July 2026

Why EDR Cannot See AI Agent Behavior

EDR treats signed developer processes (Node/Python) as trusted runtimes, failing to inspect prompt-driven intent and multi-step tool calls.

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Runtime Security·July 2026

Why DLP Misses AI Workflows

DLP inspection fails when AI agents split confidential files into token embeddings and prompt contexts sent over standard HTTPS.

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Runtime Security·July 2026

Why SIEM Lacks AI Context

SIEM ingests post-hoc syslog feeds lacking OS kernel process lineage, accessibility focus states, and MCP tool call telemetry.

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Runtime Security·July 2026

Why Browser Security Misses Desktop AI

Browser security operates strictly inside web tabs, missing native desktop tools (Claude Code CLI, Cursor, MCP servers, terminal scripts).

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Runtime Security·July 2026

Why Endpoint Security Can't Identify AI Actors

Endpoint security attributes process execution to the human OS user account, failing to distinguish between human typing and synthetic agent automation.

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Runtime Security·July 2026

Why CASB Can't Govern Local AI Agents

CASBs intercept cloud SaaS traffic, leaving a complete blindspot for local file indexing, CLI process spawning, and local MCP tool execution.

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Runtime Security·July 2026

Why Zero Trust Needs AI Runtime Visibility

Zero Trust requires continuous verification; AI Runtime Security extends Zero Trust to continuous verification of AI agent intent and execution limits.

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Competitor Comparison·July 2026

Gaussian vs CrowdStrike Falcon for AI Security

CrowdStrike Falcon stops traditional malware binaries; Gaussian provides specialized AI Runtime Security for autonomous agents, MCP tools, and Computer Use.

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Competitor Comparison·July 2026

Gaussian vs Microsoft Defender for AI

Microsoft Defender focuses on endpoint malware and cloud security, while Gaussian governs local AI agent process chains and accessibility focus on macOS.

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Competitor Comparison·July 2026

Gaussian vs Palo Alto Networks AI Security

Palo Alto Networks secures network firewalls and cloud LLM gateways; Gaussian secures the local endpoint execution plane where AI agents interact with disk and tools.

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Competitor Comparison·July 2026

Gaussian vs Noma Security

Noma Security provides application security for AI development pipelines, whereas Gaussian provides real-time runtime security on developer endpoints.

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Competitor Comparison·July 2026

Gaussian vs Protect AI

Protect AI focuses on ML model vulnerabilities and supply chain security; Gaussian focuses on real-time endpoint agent governance and runtime execution control.

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Competitor Comparison·July 2026

Gaussian vs HiddenLayer

HiddenLayer protects ML models against adversarial attack; Gaussian protects enterprise workstations against unauthorized AI agent tool actions.

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Competitor Comparison·July 2026

Gaussian vs Lakera

Lakera provides prompt injection firewalling for web apps; Gaussian provides OS-level AI Runtime Security across process, file, CDP, and network egress layers.

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Competitor Comparison·July 2026

Gaussian vs Wiz for AI Governance

Wiz provides agentless cloud security posture management; Gaussian provides deep endpoint agent runtime governance on developer workstations.

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Competitor Comparison·July 2026

Gaussian vs SentinelOne for AI Security

SentinelOne uses behavioral AI to block ransomware; Gaussian uses behavioral correlation graphs to govern trusted AI agent tool calls and file reads.

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Competitor Comparison·July 2026

Gaussian vs Tenable Exposure Management

Tenable scans static vulnerability exposures; Gaussian enforces dynamic execution runtime boundaries on autonomous AI coding agents.

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AI Employee Governance·July 2026

How Do You Secure AI Employees?

Securing AI employees requires binding session identity, establishing strict repository read bounds, and enforcing sub-millisecond process block policies.

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AI Employee Governance·July 2026

How Do You Monitor AI Agents?

Monitoring AI agents relies on continuous topological correlation — linking process execution, file mutations, and synthetic hardware event velocity.

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AI Employee Governance·July 2026

Can AI Agents Exfiltrate Data?

Yes. Prompt injections or malicious tools can force AI agents to read confidential disk files and transmit their contents to external endpoints.

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AI Employee Governance·July 2026

Can AI Coding Agents Leak Source Code?

AI coding agents can leak source code if prompt contexts contain entire repository indexes sent over unsecured or unmonitored model API streams.

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AI Employee Governance·July 2026

How Do You Audit Claude Code?

Auditing Claude Code requires intercepting CLI terminal subprocess spawns (zsh -> python -> curl) and enforcing filesystem read boundaries.

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AI Employee Governance·July 2026

How Do You Secure Cursor?

Securing Cursor requires isolating workspace directory bounds, redacting hardcoded secrets in prompts, and monitoring autonomous package installs.

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AI Employee Governance·July 2026

How Do You Govern GitHub Copilot?

Governing GitHub Copilot involves monitoring extension IPC streams, preventing secret inclusion in prompt buffers, and enforcing repository boundaries.

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AI Employee Governance·July 2026

How Do You Monitor Computer Use Agents?

Monitoring Computer Use agents requires inspecting Accessibility AX window focus, synthetic CGEvent velocity, and screenshot buffer access.

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AI Employee Governance·July 2026

How Do You Stop AI Prompt Data Leakage?

Stopping prompt leakage demands real-time endpoint inspection — redacting credentials, tokens, and sensitive repos before prompt payload assembly.

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AI Employee Governance·July 2026

Can EDR Detect AI Agents?

No. EDR treats signed developer binaries running AI agents as benign, failing to inspect prompt intent and tool execution boundaries.

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AI Employee Governance·July 2026

How Do Enterprises Govern MCP Servers?

Enterprises govern MCP servers by enforcing dynamic schema validation, strict tool call permission bounds, and dependency supply chain auditing.

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AI Employee Governance·July 2026

How Do You Secure AI Plugins?

Securing AI plugins involves sandboxing plugin IPC calls, enforcing permission scopes, and continuously auditing outbound network destinations.

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AI Employee Governance·July 2026

What Is AI Runtime Security?

AI Runtime Security is real-time observation and enforcement of AI agent execution primitives — process lineage, file access, CDP, AX, and egress.

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AI Employee Governance·July 2026

What Is an AI Employee Firewall?

An AI Employee Firewall is an endpoint security layer designed specifically to govern the tool execution, file access, and process spawning of AI workers.

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Browser Automation·July 2026

Browser Use vs Playwright

Browser Use provides high-level LLM browser interaction, whereas Playwright provides low-level automation primitives via Chrome DevTools Protocol (CDP).

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Browser Automation·July 2026

Browser Use vs Puppeteer

Puppeteer automates Chromium via DevTools debugging ports; Browser Use layers agentic reasoning on top of browser automation runtimes.

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Browser Automation·July 2026

Browser Use vs Stagehand

Stagehand integrates AI vision and DOM element selection with Playwright; Browser Use coordinates multi-step autonomous web tasks.

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Browser Automation·July 2026

Browser Automation vs Computer Use

Browser automation operates inside Chromium DOMs via CDP port 9222; Computer Use controls native OS windows via Accessibility AX APIs and synthetic events.

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Browser Automation·July 2026

How to Secure Playwright

Securing Playwright requires intercepting CDP debugging port attachments, restricting headless browser network egress, and auditing DOM script injection.

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Browser Automation·July 2026

How to Monitor CDP (Chrome DevTools Protocol)

Monitoring CDP involves inspecting WebSocket connections on port 9222, tracking Runtime.evaluate calls, and auditing DOM extraction scripts.

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Browser Automation·July 2026

Can Playwright Bypass DLP?

Yes. Headless Playwright scripts can read sensitive browser DOMs and transmit data over custom WebSockets, bypassing traditional web filters.

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Browser Automation·July 2026

How to Detect Browser Automation

Detecting browser automation relies on monitoring CDP port binding, process parentage (Node -> Chromium), and synthetic event dispatch timing.

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Browser Automation·July 2026

Browser AI Security Best Practices

Enforce isolated browser profiles, restrict CDP debugging port binding to localhost, and deploy endpoint CDP runtime monitoring.

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MCP Security·July 2026

What is MCP Security?

MCP Security is the governance of Model Context Protocol servers — ensuring tool execution, file access, and API calls adhere to enterprise policy.

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MCP Security·July 2026

How Do You Secure MCP Servers?

Securing MCP servers requires enforcing dynamic schema validation, strict tool call permission bounds, and dependency supply chain auditing.

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MCP Security·July 2026

MCP vs APIs: Protocol Comparison

APIs require explicit developer integration; MCP allows AI models to dynamically discover and invoke local tools and system capabilities.

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MCP Security·July 2026

MCP vs Plugins: Architecture & Governance

Plugins operate within closed app environments; MCP defines an open client-server protocol connecting AI agents directly to local tools and databases.

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MCP Security·July 2026

MCP Governance Best Practices

Audit all registered MCP server manifests, enforce least-privilege tool execution permissions, and monitor IPC communication channels.

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MCP Security·July 2026

How Enterprises Should Deploy MCP

Deploy MCP with centralized server registries, mandatory runtime schema validation, and endpoint security enforcement on developer endpoints.

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MCP Security·July 2026

MCP Runtime Security

MCP Runtime Security inspects real-time JSON-RPC tool calls between AI clients and local MCP servers, blocking unauthorized actions before execution.

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MCP Security·July 2026

MCP Permission Models & Drift Governance

Establish granular permission models for tool execution, file reading, and network access to prevent silent MCP capability drift.

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MCP Security·July 2026

MCP Attack Surface & Threat Vector Analysis

The MCP attack surface includes unauthorized file read tools, command injection via arguments, malicious postinstall scripts, and untrusted servers.

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MCP Security·July 2026

MCP Supply Chain Risks

Unverified open-source MCP servers can contain hidden malicious tool definitions or dependency supply chain backdoors.

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Computer Use·July 2026

How to Secure Claude Computer Use

Securing Claude Computer Use requires monitoring Accessibility AX window focus, synthetic event velocity (CGEvent), and screenshot buffer reads.

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Computer Use·July 2026

Computer Use Security Risks

Computer Use risks include autonomous desktop clicks, terminal takeover, unauthorized credential usage, and uncontrolled window interactions.

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Computer Use·July 2026

Claude Computer Use vs Browser Use

Claude Computer Use controls native OS desktop windows via Accessibility APIs; Browser Use controls Chromium DOMs via CDP debugging ports.

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Computer Use·July 2026

Browser Automation vs Computer Use Duality

Understanding the duality between browser DOM automation (CDP) and desktop window automation (Accessibility AX) is key to AI runtime defense.

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Computer Use·July 2026

AI Desktop Automation Security

AI desktop automation security establishes real-time policy bounds around synthetic hardware input injection and screen capture APIs.

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Computer Use·July 2026

Detecting Synthetic Input (CGEvent & Accessibility)

Detecting synthetic input involves inspecting event flags (e.g. NX_SYNTHETIC), timing variance, and mouse movement velocity at the OS layer.

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Computer Use·July 2026

Securing Autonomous Desktop Agents

Securing autonomous desktop agents requires continuous behavioral correlation graph evaluation and sub-millisecond execution blocking.

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Cursor & Coding·July 2026

Cursor Security Risks & Mitigation

Cursor risks include unbounded repository file indexing, autonomous npm install lifecycle scripts, and secret exposure in LLM prompts.

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Cursor & Coding·July 2026

Claude Code Security Risks & Mitigation

Claude Code security risks stem from autonomous CLI terminal execution (zsh -> python -> curl) and file modification capabilities.

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Cursor & Coding·July 2026

Windsurf Security Governance

Windsurf governance requires enforcing directory workspace read bounds, auditing terminal tool calls, and redacting sensitive credentials.

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Cursor & Coding·July 2026

Gemini CLI Security

Gemini CLI security focuses on securing terminal command execution, inspecting API key usage, and monitoring outbound network egress.

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Cursor & Coding·July 2026

Zed AI Security

Zed AI security establishes strict workspace boundaries and audits real-time file reads during collaborative AI coding sessions.

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Cursor & Coding·July 2026

Kiro Security

Kiro security governs autonomous agentic execution chains, preventing unauthorized filesystem modification and unverified network requests.

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Cursor & Coding·July 2026

How to Monitor Cursor

Monitoring Cursor involves tracking process lineage (Cursor -> helper -> npm), file read operations, and outbound model API connections.

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Cursor & Coding·July 2026

How to Govern Claude Code

Govern Claude Code by intercepting terminal subprocess spawning, enforcing repository boundaries, and redacting secret tokens before prompt transmission.

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Cursor & Coding·July 2026

Can Cursor Leak Source Code?

Cursor can expose source code if sensitive files are included in automated prompt context windows sent over unmonitored connections.

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Cursor & Coding·July 2026

Securing AI Coding Assistants

Comprehensive guide to securing AI coding tools (Cursor, Claude Code, Windsurf, Copilot) across enterprise developer workstations.

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AI Runtime·July 2026

What is AI Runtime Security? Category Deep Dive

AI Runtime Security is the real-time governance of AI agent execution primitives — process lineage, file access, CDP, AX, and egress.

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AI Runtime·July 2026

Runtime Security for AI Agents

Runtime security for AI agents provides continuous observation and policy enforcement for autonomous processes operating on endpoints.

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AI Runtime·July 2026

AI Runtime Firewall Explained

An AI Runtime Firewall sits on developer workstations to intercept, inspect, and enforce policy on AI agent tool calls and file access.

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AI Runtime·July 2026

AI Runtime Governance

AI Runtime Governance defines enterprise policy controls for autonomous agent tool execution, file access bounds, and process spawning.

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AI Runtime·July 2026

AI Runtime Policy Engine

An AI Runtime Policy Engine evaluates execution graphs in real time, supporting Observe, Advisory, Protect, and Enforce action tiers.

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AI Runtime·July 2026

AI Runtime Telemetry

AI Runtime Telemetry captures OS kernel process events, accessibility window focus, CDP WebSocket messages, and network egress streams.

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AI Runtime·July 2026

AI Runtime Visibility

AI Runtime Visibility provides security teams with real-time insight into which AI agents are running, what files they read, and what tools they execute.

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AI Runtime·July 2026

AI Runtime Observability

AI Runtime Observability correlates multi-step agent actions into unified topological behavioral graphs for forensic audit and threat hunting.

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AI Runtime·July 2026

AI Runtime Control Plane

An AI Runtime Control Plane manages fleet-wide security policies, agent identity bindings, and enforcement rules across enterprise endpoints.

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AI Runtime·July 2026

AI Runtime Identity

AI Runtime Identity binds process execution PIDs and signing identities to verified AI agent session tokens (Cursor, Claude, Copilot).

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Detection Eng·July 2026

Detecting AI Prompt Injection

Detecting prompt injection requires monitoring anomalous secondary tool calls and unexpected filesystem read spikes following prompt inputs.

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Detection Eng·July 2026

Detecting AI Data Exfiltration

Detecting AI data exfiltration correlates file reads of sensitive credentials (.env, SSH keys) with subsequent HTTPS egress connections.

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Detection Eng·July 2026

Detecting Synthetic Keyboard Input

Detecting synthetic keyboard input inspects OS event flags (NX_SYNTHETIC) and character inter-arrival velocity at the Accessibility layer.

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Detection Eng·July 2026

Detecting AI Browser Automation

Detecting AI browser automation tracks Chrome DevTools Protocol port bindings (port 9222) and process parentage (Node -> Chromium).

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Detection Eng·July 2026

Detecting AI Tool Abuse

Detecting AI tool abuse identifies anomalous arguments passed to local shell, database, or API execution tools by autonomous agents.

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Detection Eng·July 2026

Detecting MCP Abuse

Detecting MCP abuse flags unverified tool schema invocations, permission scope expansion, and untrusted local server IPC connections.

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Detection Eng·July 2026

Detecting Autonomous AI Agents

Detecting autonomous AI agents identifies long-running background worker process chains operating without active human user input.

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Detection Eng·July 2026

Building AI Runtime Detections

Building AI runtime detections involves defining graph invariants across process lineage, file access, and network egress sensors.

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Detection Eng·July 2026

Behavioral Detection for AI Agents

Behavioral detection evaluates multi-step agent action chains rather than static file hashes to spot malicious intent.

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Detection Eng·July 2026

AI Attack Chain Detection

AI attack chain detection reconstructs the complete path from initial prompt injection to tool abuse, secret access, and exfiltration.

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Architecture·July 2026

AI Runtime Security Architecture

Technical architecture overview uniting macOS EndpointSecurity, Content Filter, Accessibility AX, Chrome CDP, and Behavioral Correlation Graphs.

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Architecture·July 2026

AI Security Reference Architecture

Enterprise reference architecture defining OS kernel sensors, agent attribution, behavioral correlation, and policy enforcement layers.

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Architecture·July 2026

AI Telemetry Architecture

AI telemetry architecture streams low-overhead kernel and user-space events into an in-memory graph for real-time policy evaluation.

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Architecture·July 2026

AI Policy Engine Design

Designing an AI policy engine capable of sub-millisecond execution blocking across Observe, Advisory, Protect, and Enforce action tiers.

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Architecture·July 2026

AI Attribution Graph

An AI attribution graph binds operating system process PIDs, signing certificates, and AX window focus to verified AI agent identities.

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Architecture·July 2026

AI Behavioral & Execution Graph

The topological behavioral correlation graph maintains real-time execution invariants across process, file, CDP, and network sensors.

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