The First AI Agent Runtime Security Monitor

AARSM pioneers an entirely new security category: AI Agent Runtime Security. Purpose-built protection for the AI-native enterprise where traditional security tools fundamentally cannot address AI-specific attack vectors.

Introducing: AI Agent Runtime Security Monitor (AARSM)

A New Security Category for the AI Era

Traditional security categories were designed for human-operated systems. AI agents require fundamentally different protection mechanisms.

Traditional Security Categories

Endpoint Detection & Response (EDR)

✗ Detects threats after execution

✗ Cannot understand AI context or intent

Data Loss Prevention (DLP)

✗ Static pattern matching

✗ Cannot process AI-generated dynamic content

Application Security

✗ Code-level protection only

✗ No visibility into AI agent runtime behavior

SIEM/SOAR

✗ Post-incident analysis

✗ Cannot prevent AI-driven attacks in real-time

AI Agent Runtime Security Monitor

Real-Time Prevention

✓ Stops attacks before execution (<1 second)

✓ Runtime interception of malicious AI tool calls

AI-Native Understanding

✓ Contextual analysis of AI agent intent

✓ Prompt injection and manipulation detection

Cross-Platform Agent Architecture

✓ Linux, Windows, macOS unified protection

✓ eBPF and native OS integration

Policy-Driven AI Governance

✓ AI-aware security policies

✓ Dynamic adaptation to AI behavior patterns

Defining Characteristics of AI Agent Runtime Security

Runtime Interception

Monitors and controls AI agent actions in real-time, not after-the-fact analysis

AI Context Awareness

Understands AI prompts, tool calls, and agent workflows, not just technical indicators

Supply Chain Protection

Monitors trusted AI tools for behavioral changes and supply chain compromises

The Evolution of Enterprise Security

2000s
Antivirus
File-based threats
2010s
EDR/XDR
Behavioral analysis
2020s
SASE/ZTNA
Cloud-first security
2025
AARSM
AI Agent Security

Why This Category Exists Now

The AI Security Crisis

485% Growth in AI Usage: Shadow AI proliferation in enterprises
50+ CVEs in 2024: Prompt injection vulnerabilities discovered
$8.4B at Risk: AWS VSCode supply chain near-miss
26% Data Exposure: Organizations unknowingly leaking PII to AI

Traditional Security Gaps

Post-Execution Detection: Damage already done when threats are found
No AI Context: Cannot understand prompt injection patterns
Supply Chain Blindness: Cannot monitor trusted AI tool behavior changes
Policy Mismatch: Human-centric rules don't apply to AI agents

Defining the Market Category

AARSM establishes AI Agent Runtime Security as the essential security category for AI-native enterprises

$47B
Total Addressable Market
Enterprise security + AI governance markets combined
89%
Enterprises Using AI
All require AI-specific security controls
0
Current Solutions
No existing category addresses AI agent runtime security

Be the First in Your Industry

Every major security category has a market-defining first mover. AARSM is pioneering AI Agent Runtime Security - be among the first to adopt this critical new protection.