Enable and Govern Agentic Commerce Across Your Customer Journey

Agentic commerce is the emerging reality where AI agents, shopping bots, and automated buyers now participate directly in product discovery, evaluation, and checkout—alongside human shoppers.

This matters because some automation is valuable (shopping assistants, procurement workflows, API integrations) while other automation is harmful (spoofed agents, scraping, scalping, fraud). Most companies cannot reliably tell the difference at the moment decisions matter.

CHEQ enables entity-level trust decisions to govern what runs, what data flows, and what actions are allowed.

CHEQ evaluates three correlated signal streams, each targeting a different dimension of visitor identity and intent:

Traffic Intelligence

• Automation indicators (headless browsers, framework patterns)
• Device and browser spoofing
• Network anomalies
• Behavioral deviation from human norms

Trust Intelligence

• Script execution behavior
• Consent enforcement
• Data leakage signals
• Unapproved vendor risks

Identity Intelligence

• Identity resolution
• Synthetic identity indicators
• Cross-session consistency
• Alignment with known trusted patterns

Correlating these signals allows CHEQ to classify what is interacting, whether it is authentic, and what it intends to do—without relying on a single detection mechanism.

CHEQ enables policy-driven governance, not binary blocks. Policies can be tailored across several dimensions to match your risk tolerance and business rules:

• Journey stage: Different rules for browsing, checkout, and registration
• Entity type: Allow a registered shopping agent while blocking a spoofed agent
• Risk level: Allow discovery with monitored routing; require step-up for high-risk transactions
• Actions: Suppress specific scripts for low-trust sessions; allow full functionality for verified users

This approach enables legitimate automation while applying controls proportional to risk.

Yes. CHEQ identifies and mitigates spoofed agents and impersonation by applying multiple detection and scoring techniques in real time:

• Detecting synthetic and AI-generated identity indicators during registration and account creation
• Evaluating environment integrity (device spoofing, masked origins, credential inconsistencies)
• Assessing cross-session behavioral consistency to detect coordinated fraud
• Scoring identity risk in real time to support step-up and enforcement decisions

This reduces downstream fraud tied to fake accounts, credential abuse, and account takeover.

CHEQ supports journey-specific governance, with controls calibrated to the risk profile of each stage in the customer journey:

Browsing / Discovery

• Detect agentic patterns
• Allow discovery while limiting abusive extraction
• Monitor pricing and inventory manipulation

Evaluation

• Govern rate and route access
• Interpret structured selection behavior
• Flag abnormal evaluation patterns

Registration / Account Creation

• Validate identity integrity and input quality
• Require step-up for synthetic identity risk
• Route suspicious submissions for review

Checkout / Transactions

• Require higher trust and identity confidence
• Apply step-up or block for high-risk attempts
• Prevent inventory hoarding and scalping

Policies are configurable by action and risk.

CHEQ’s Trust Intelligence governs execution and data flow:

• Script and vendor governance: Evaluate vendor behavior and identify unapproved scripts
• Consent enforcement: Route sessions based on consent status and privacy preferences
• Data flow risk: Detect and flag sensitive data leakage (PII, pricing, inventory)
• Session-based controls: Suppress specific tools for low-trust sessions; enforce stricter handling for untrusted automation

This reduces data exposure without blocking legitimate traffic.

CHEQ is designed to minimize friction by:

• Using correlated signals to reduce false positives
• Applying additional challenges only when risk warrants it
• Supporting policy flexibility to distinguish legitimate users from adversarial automation
• Enabling selective enforcement rather than blanket blocking
• Preserving targeting and personalization quality by separating humans, known agents, and unknown automation before downstream activation

Controls are applied proportionally to risk.

CHEQ operates as a central trust provider across infrastructure:

• CDN / WAF / Edge: Real-time API decisioning for allow, block, or step-up
• IAM / Authentication: Step-up orchestration and MFA triggers for high-risk actions
• Analytics / CDP / CRM: Batch exports and event streams for clean segmentation
• Security tools: Investigation workflows and threat hunting using correlated verdict data

Both real-time and batch integration modes are supported.

CHEQ supports continuous policy calibration:

• Real-time feedback loops: Dashboards to refine thresholds and rules
• Event streaming: Verdict integration into SIEM and data platforms
• Explainable signals: Decisions include supporting signals and reasoning
• Flexible actions: Reconfigure controls and enforcement without code changes

Policies adapt as behaviors evolve while maintaining operational visibility.

CHEQ helps you tailor experiences based on who is interacting. Trust signals are assigned at the entity level, enabling distinct treatment for each visitor type:

• Humans: Allow full personalization and standard offers
• Known / approved agents: Allow with limits (rate, endpoints, or actions) and tailor flows for agent-assisted journeys
• Unknown automation: Reduce exposure (suppress scripts/tools, limit access) or challenge/block

CHEQ trust signals can be routed to your analytics and activation stack so audiences, recommendations, and campaigns are built on trusted engagement—not automated noise.

In B2B commerce, agent-driven activity often touches higher-risk workflows:

• Access to account-specific pricing and negotiated catalogs
• Bulk ordering and repeat purchase behavior
• Contract renewal and reorder flows tied to revenue retention

CHEQ helps you enable legitimate agent-assisted procurement while applying stricter controls to protect pricing, account access, and high-risk actions when the entity or session trust is low.