Wiz AI Secure

Comprehensive AI Security Scanning Platform

Advanced vulnerability detection and governance for AI systems, LLMs, and intelligent agents.

Core module Prompt Defense
Prompt Firewall Engine

Inline defense that neutralizes prompt injection and jailbreak attempts during every scan.

  • Adversarial prompt simulation
  • Dynamic pattern recognition
  • Policy & guardrail enforcement
Activated in unified scan View coverage
Core module Data Protection
Data Exfiltration Scanner

Inspects responses and tool outputs for sensitive data exposure and unauthorized retrieval.

  • PII & secrets detection
  • Real-time data leak scoring
  • Inline masking recommendations
Activated in unified scan View coverage
Core module Agent Safety
Agent Sandbox Emulator

Runs controlled execution scenarios to uncover privilege escalation and escape paths.

  • Tool & plugin behavior audit
  • Sandbox boundary fuzzing
  • Real-time action tracing
Activated in unified scan View coverage
Core module Remediation
Remediation AI Assistant

Transforms findings into prioritized fix plans and governance workflows for your teams.

  • AI-generated mitigation steps
  • Ticketing workflow sync
  • Compliance mapping insights
Activated in unified scan View coverage

AI System Scanner

Scan Target
Sample URLs to test:
Authentication & Headers
One header per line. Automatically encrypted at rest.
Payload & Prompts
Paste JSON payload. We validate and auto-format before scanning.
One prompt per line. These will be used for prompt-injection simulation.
Scan Configuration
Security Modules
Advanced Options
Pre-Scan Checklist
Demo mode generates realistic vulnerabilities without impacting production systems. Disable for live scanning.
Need help? Visit the Help Center for configuration tips.

Scan Reports & Analytics

Executive visibility into AI security posture, remediation velocity, and compliance coverage.

Scans this month

128

12%

Continuous monitoring across LLMs, agents & pipelines.

Critical Issues

11

Needs action

7 linked to prompt injection, 4 to data exfiltration.

Mean Time to Remediate

19 hrs

38% faster

Forecast to reach 12 hrs with automated workflows.

Coverage

87%

Across 14 systems

Closing gap on remaining 3 shadow AI services.

Security Posture Timeline
Key events from the last 30 days.
Synced 5 min ago
Critical prompt injection blocked

Detected in OpenAI production agent — auto-mitigated by Prompt Firewall Engine.

24 Oct Owner: AI SecOps
Agent Sandbox policy updated

Restricted filesystem access for Anthropic Claude tools after high-risk scenario.

19 Oct Owner: Platform Team
Remediation sprint completed

Closed 95% of high severity issues; MTTR reduced by 14 hours.

12 Oct Owner: AppSec
Open Vulnerabilities
Prioritized by severity, grouped by module.
SLA breach: 2 Critical focus
Vulnerability Module Severity Owner Status
Prompt override leaking secrets
Detected in customer support chatbot
 PFE Critical SecOps In progress
Tool call escalation attempt
Unauthorized Git access through agent
 ASE High Platform Engineering sprint
Sensitive PII in cache
Email + phone mask missing in transient logs
 DES High Data Fix deployed
Legacy prompt guardrails out of date
Mismatch with new policy library
 PFE Medium AI Risk Awaiting review
Automated SLA reminders routed to Jira & ServiceNow.
Vulnerability Trend Analysis
Rolling 12-week view by severity & module.

Interactive chart renders here in production (Highcharts / Plotly ready).

Critical

-32%

High

-18%

Medium

+6%

Mean risk score

4.2 → 3.1
Risk Distribution
By AI Surface
LLM Systems 48%
Agents & Tools 34%
Pipelines & ETL 18%
Top Emerging Patterns
  • Prompt bypass via image attachments
  • Shadow agents escalating permissions
  • Third-party plugin leakage vectors
Compliance Readiness Matrix
Mapped to major AI security frameworks.
Framework Control Coverage Owner Next Action
NIST AI RMF - Govern 2.3 Prompt Security Compliant AI Governance Reviewed 7 days ago
ISO 42001 - Risk Monitoring & Response In Progress Risk Office Draft policy update due Friday
EU AI Act - High-Risk System Controls Gap Compliance Need documentation package for auditors
SOC 2 - Data Confidentiality Compliant Security Quarterly evidence captured
AI Control Library auto-maps findings to your control framework.
Audit Trail Snapshot
  • Evidence bundle generated
    Mapped to ISO 42001, links to Jira ticket #SEC-321
    Today · 09:20
  • Stakeholder attestation recorded
    Platform VP acknowledged risk report via Slack sync
    Yesterday
  • External auditor access granted
    Read-only report portal activated for EY team
    Oct 24
  • Risk acceptance documented
    Shadow AI pipeline accepted with mitigation plan
    Oct 18
Full audit log available via REST API and export.
Board-Ready Executive Summary
Key takeaways for leadership & investors.
Highlights
  • Risk posture trending positive. Critical issues down 32% quarter-over-quarter, MTTR under 24 hours for the first time.
  • Automation impact. 68% of remediations initiated directly from Wiz AI Secure recommendations via Jira/ServiceNow.
  • Business alignment. AI product teams now receiving weekly health scores with tailored guidance.
Focus for Next Sprint
  • Close out remaining EU AI Act documentation gap and capture auditor evidence.
  • Expedite agent sandbox hardening for new third-party tool integrations.
  • Expand coverage to 3 outstanding shadow AI services; link telemetry into single pane of glass.
Investor Insight

Security momentum translates into customer trust. Projected ARR uplift: +$4.2M as AI-secure offerings accelerate adoption in regulated industries.

Vulnerability Remediation

Coordinated fix planning, automation, and cross-team execution to close AI security gaps.

Remediation Health

82% SLA Compliance

Automation Impact: 68% of fixes auto-generated by Remediation AI Assistant and pushed to engineering tools.
  • Critical pipeline cleared
    All P1 items resolved within 24 hours last week.
  • Next SLA milestone
    4 high severity issues in progress with 48-hour target.
  • Cross-team alignment
    Security, Engineering, and Compliance all working from unified backlog.
Live Remediation Pipeline
Status by severity and owning team.
Finding Module Severity Playbook Owner ETA Status
Credential leakage via prompt memory
Risk: Secrets in vector store cache
 DES Critical Vault rotation Platform Security 12 hrs In progress
Prompt bypass through auxiliary files
Risk: Hidden instruction injection via attachments
 PFE High Guardrail policy AI Platform 36 hrs Under review
Tool call escalation attempt
Risk: Unauthorized Git commands via agent plugin
 ASE High Sandbox hardening DevSecOps 48 hrs Urgent
Legacy prompt policy misalignment
Risk: New compliance rules not applied to older flows
 PFE Medium Policy refresh AI Governance 3 days Scheduled
Shadow agent telemetry gap
Risk: Missing audit logs for third-party integration
 DES Medium Logging pipeline Data Engineering 5 days Backlog
Real-time status synced with Jira, ServiceNow, and Slack stakeholder channels.
Automated Playbooks
Generated by Remediation AI Assistant.

  1. Activate PFE emergency guardrails for affected pipelines.
  2. Rotate exposed secrets via Secrets Manager integration.
  3. Deploy updated prompt templates to production via CI/CD pipeline.
  4. Trigger regression scan and log for compliance evidence.
Auto-notifies: Security, Product Leads, Compliance, On-call Engineering.

  1. Snapshot AI response logs and secure evidence vault.
  2. Apply automated masking patch recommended by Remediation AI.
  3. Notify Data Protection officer and legal stakeholders.
  4. Initiate follow-up scans for similar patterns across fleets.
Auto-tracks remediation progress and SLA adherence.

  1. Lockdown high-risk tool permissions via Role Manager API.
  2. Push sandbox policy updates to staging for verification.
  3. Schedule automated test suite re-run with new guardrails.
  4. Publish post-incident review to knowledge base.
Integration: Slack (on-call), PagerDuty, GitHub Actions.
Team Accountability & Metrics
Operational KPIs by group.
MTTR by Team
Security Operations 11 hrs
Engineering 17 hrs
Data Platform 22 hrs
AI Governance 28 hrs
Collaboration Signals
  • Weekly remediation stand-up with 95% attendance
  • Stakeholder updates auto-posted to #ai-security channel
  • 2 risk acceptance requests awaiting leadership approval
Keep stakeholders aligned with automated digests and real-time notifications.

Help, Support & Enablement

All the guidance you need to run secure AI operations, from onboarding to enterprise governance.

Quick Start checklist

Run your first scan, invite stakeholders, align on controls, and connect remediation workflows.

View Quick Start Guide
Role-based resources
  • SecurityIncident response playbooks & threat detection tips
  • EngineeringDevSecOps integrations & CI/CD guardrails
  • ComplianceAudit evidence exports & policy mapping
  • LeadershipExecutive dashboards & KPI frameworks
Live training & office hours

Weekly office hours, monthly compliance sessions, and quarterly roadmap previews.

Knowledge Base & FAQ
Step-by-step guides, best practices, and troubleshooting tips.

Follow these steps to run your first scan:

  1. Enter the target endpoint (API, agent, or pipeline URL).
  2. Select the appropriate system type and HTTP method.
  3. Configure headers, credentials, payload, and adversarial prompts.
  4. Choose scan depth and activate relevant modules (PFE, DES, ASE, RAIA).
  5. Enable Demo Mode for safe evaluation or run live for production insights.

Tip: Save scan configurations to reuse profiles across environments.

  • Prompt Firewall Engine (PFE): Blocks prompt injection and jailbreak attempts with adaptive rules and ML insights.
  • Data Exfiltration Scanner (DES): Flags PII exposure, secret leakage, and misconfigured tool responses.
  • Agent Sandbox Emulator (ASE): Simulates agent behavior in isolation to detect privilege escalation and unsafe actions.
  • Remediation AI Assistant (RAIA): Generates fix plans, syncs to Jira/ServiceNow, and tracks closure progress.

All modules work together in a unified scan to provide end-to-end coverage.

Each finding includes severity, CVSS score, impacted module, and remediation recommendation.

  • Critical: Immediate action required (SLA: 24 hours).
  • High: Prioritize within current sprint (SLA: 72 hours).
  • Medium: Schedule for remediation backlog with mitigation plan.
  • Low: Monitor and document for compliance purposes.

Use the Remediation dashboard to assign owners, sync SLAs, and track progress.

  • Timeouts: Adjust scan depth or enable asynchronous mode for large payloads.
  • API limits: Toggle rate-limit stress testing or configure backoff parameters.
  • Custom prompts: Import prompt libraries and manage risk scoring thresholds.
  • Integrations: Review API tokens and webhooks for GitHub, PagerDuty, Slack, and SIEM pipelines.

Need further help? Open a ticket or chat with a Wizinsights specialist.

Support & Community
Avg response: 2 hrs
Need immediate help?

24/7 Hotline: +1 (908) 764-8300

Email: info@wizinsights.com

Join the community
  • #wiz-ai-secure Slack workspace
  • User forums & feature requests hub
  • On-demand webinars & customer roundtables
Status & uptime

Track platform status, scheduled maintenance, and incident history.

Enterprise success manager available for premium plans. Schedule a session anytime.
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