CoverityGuard

AI Agent Runtime Security

Zero-trust execution environment for AI agents and plug-ins

Trust Every Action Your AI Takes

Agent Verification

Cryptographic attestation of agent identity

Runtime Monitoring

Real-time behavior analysis and anomaly detection

Policy Enforcement

Granular controls for agent capabilities

Zero-Trust Security

Isolation sandbox for high-risk operations

How CoverityGuard Works

Agent Registration

Example:

Agent deployed → Signature verified → Capabilities registered → Trust baseline established

Runtime Monitoring

Monitor every agent action, API call, and system interaction in real-time with behavior analysis.

Example:

Agent executes → Action intercepted → Behavior analyzed → Risk assessment performed

Policy Enforcement

Apply granular controls and restrictions based on agent risk profile and organizational policies.

Example:

High-risk action detected → Policy evaluation → Sandbox execution → Approval workflow triggered

Audit & Forensics

Log all agent activities with complete reasoning transparency for investigation and compliance.

Example:

Action completed → Full trace logged → Reasoning captured → SIEM integration → Forensic analysis ready

What CoverityGuard Secures

AI Agents

Custom agents, assistants, and automated workflows

Third-Party Plugins

Marketplace extensions and external integrations

System Actions

File operations, API calls, command executions

Workflows

Multi-step automations and business processes

API Integrations

External service calls and data exchanges

Code Execution

Dynamic code generation and execution

Data Access

Database queries and file system operations

Network Operations

Outbound connections and communications

Zero-Trust Agent Security

Agent Attestation

Cryptographic verification and integrity checking for all AI agents

✓Digital signature verification for agent authenticity
✓Runtime integrity monitoring and tamper detection
✓Trust chain validation for agent dependencies
✓Continuous attestation throughout agent lifecycle

Behavior Analysis

Real-time monitoring and anomaly detection for agent actions

✓Baseline behavior modeling and drift detection
✓Emergent behavior identification and flagging
✓Action pattern analysis and risk scoring
✓Intent vs. action mismatch detection

Policy Controls

Granular enforcement of agent capabilities and restrictions

✓Fine-grained permission management per agent
✓Dynamic policy adjustment based on risk levels
✓Approval workflows for sensitive operations
✓Capability sandboxing and isolation controls

Audit & Forensics

Complete visibility and investigation capabilities for all agent activities

✓Full action logging with reasoning transparency
✓Session replay and forensic analysis tools
✓Compliance reporting for regulatory requirements
✓Integration with SIEM and security orchestration platforms

Top Use Cases

Internal AI Assistants

HR bots, finance assistants, DevOps agents, customer service automation

Risk: Unauthorized data access, policy violations

Third-Party Plugins

Marketplace extensions, external tools, and integrations

Risk: Malicious code execution, data exfiltration

High-Privilege Automations

Agents with system admin, database, or API access

Risk: Lateral movement, privilege escalation

Customer-Facing Agents

Public chatbots, support agents, sales assistants

Risk: Data leakage, compliance violations

Code Generation Agents

AI that writes, reviews, or deploys code automatically

Risk: Malicious code injection, backdoors

Financial Workflows

Agents handling payments, transactions, or financial data

Risk: Fraud, unauthorized transactions

Ready to Secure Your AI Agents?

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