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PrismAI

  • What it is:PrismAI is a visual-AI company specializing in computer vision technology and predictive information systems through its Gryphos platform for automated video surveillance and real-time monitoring.
  • Pricing:Starting from $400/month
  • Rating:65/100Above Average
  • Expert's conclusion:The Prisma AIRS is a strong choice for enterprise AI agent security for organizations using enterprise cloud computing systems like AWS Bedrock or Azure, primarily within heavily regulated industries. However, it may be too expensive for smaller teams or organizations that do not utilize enterprise cloud computing systems.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is PrismAI and What Does It Do?

Prisma AI is a visual AI company that offers predictive information technologies using its computer vision platform Gryphos. Using this technology, Prisma AI can create applications such as facial recognition, sentiment analysis, and object detection. In addition to these capabilities, the company also has experience working with various sectors, including banking, finance, aviation, infrastructure, security, and education. Based in Singapore, Prisma AI is run by experienced professionals in the industry.

Active
📍Singapore
📅Founded 2013
🏢Private
TARGET SEGMENTS
Banking and FinanceAviationInfrastructureSecurityEducation

What Are PrismAI's Key Business Metrics?

🏢
77
Employees
💵
$6.3 Million
Revenue

How Credible and Trustworthy Is PrismAI?

65/100
Fair

Prisma AI is a visual AI company with a history of being in business for well over a decade, offering applications tailored specifically to industry, but little to no publicly available metrics on growth, reviews, or achievements made recently.

BREAKDOWN
Product Maturity75/100
Company Stability70/100
Security & Compliance60/100
User Reviews40/100
Transparency55/100
Support Quality50/100
TRUST SIGNALS
Over 10 years in operationDedicated executive team with 20+ years experienceAlliance partners in multiple regions

What is the history of PrismAI and its key milestones?

2013

Company Founded

Prisma AI is a visual AI company that was founded in Singapore. Specifically, the company specializes in computer vision technologies, which are used to enable applications in a variety of industries.

What Are the Key Features of PrismAI?

✨
Facial Recognition
Prisma AI's computer vision technologies are used to analyze images to verify identities and biometrics for security and banking applications.
✨
Sentiment Analysis
Prisma AI's computer vision technologies allow them to analyze video feeds to determine whether individuals have positive or negative emotions and sentiment in real-time.
✨
Object Detection
Using their computer vision technologies, Prisma AI can identify and classify objects within video feeds for use in monitoring and analyzing infrastructure and for use in aviation-related applications.
📊
Gryphos Platform
Prisma AI's core technology platform, Gryphos, enables companies to apply predictive analytics to large amounts of data from multiple sources across different industries.

What Technology Stack and Infrastructure Does PrismAI Use?

Technologies

PHPFacebook TechnologiesAutomattic

Integrations

Alliance partners including Pitney Bowes, Nityo Infotech

AI/ML Capabilities

Visual AI platform Gryphos with computer vision for facial recognition, sentiment analysis, and object detection

Tech stack from ZoomInfo; AI capabilities from company descriptions

What Are the Best Use Cases for PrismAI?

Banking and Finance Teams
Companies can implement facial recognition and biometric security using Prisma AIRS to authenticate customers and prevent fraud.
Aviation Security Operations
Companies can deploy object detection and visual monitoring using Prisma AIRS to screen passengers for potential threats and to identify potential threats.
Infrastructure Monitoring Teams
Facilities can use Prisma AIRS' computer vision capabilities to perform predictive maintenance and to detect anomalies in real-time.
Educational Institutions
Students can be monitored for engagement and campus security can be improved using Prisma AIRS' computer vision capabilities to analyze sentiment.
NOT FORHigh-Frequency Trading Systems
Prisma AIRS is not designed to support real-time decision-making that requires less than one second to process.
NOT FORConsumer Photo Editing Apps
Prisma AIRS is focused on providing enterprise-level computer vision solutions, whereas Prisma AIRS is not a provider of generative AI solutions for consumers.

How Much Does PrismAI Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Team$400/monthUp to 15,000 sessions/monthSaaSworthy
Professional$800/monthUp to 120,000 sessions/monthSaaSworthy
EnterpriseCustom120,000+ sessions/monthSaaSworthy
Team$400/month
Up to 15,000 sessions/month
SaaSworthy
Professional$800/month
Up to 120,000 sessions/month
SaaSworthy
EnterpriseCustom
120,000+ sessions/month
SaaSworthy

What APIs and Integrations Does PrismAI Support?

API Type
REST API via Prisma AIRS AI Runtime API Intercept for real-time monitoring and protection
Authentication
Cloud provider IAM permissions (AWS IAM roles, Azure service principals) for agent discovery and API intercept
Webhooks
Not mentioned; uses log-based monitoring and dashboards in Strata Cloud Manager (SCM)
SDKs
Cloud provider SDKs (AWS SDK, Azure SDK) for agent discovery; no custom Prisma AIRS SDKs mentioned
Documentation
Comprehensive enterprise documentation at docs.paloaltonetworks.com covering agent discovery, API intercept, and cloud onboarding
Sandbox
Enterprise testing via Strata Cloud Manager; no public sandbox mentioned
SLA
Enterprise-grade reliability with real-time API response times (<200ms latency target); specific SLAs via Palo Alto Networks enterprise contracts
Rate Limits
Cloud provider API limits apply; Prisma AIRS optimized for production workloads
Use Cases
Real-time AI agent protection, prompt injection prevention, agent discovery across AWS Bedrock/Azure AI, runtime behavioral monitoring

What Are Common Questions About PrismAI?

Prisma AIRS uses APIs and logs from cloud providers such as AWS Bedrock and Azure AI Foundry to automatically collect information about all agents, agent configuration, foundation model, knowledge base, and tools. Then, Prisma AIRS creates a list of all agents to distinguish between those that are protected versus those that are not. Prisma AIRS monitors runtime interaction through activity logs in Strata Cloud Manager.

Prisma AIRS is the first solution that protects against AI-specific attacks such as prompt injection and agent drift in real-time, in-line, across the entire lifecycle of an AI deployment. The solution also protects sanctioned and shadow AI deployments.

Yes, Prisma AIRS allows you to perform model scans in an on-premise environment to ensure that sensitive data remains within your organization's environment. Additionally, Prisma AIRS provides enterprise-grade compliance features including, but not limited to: fine-grained access controls, full audit trails and data leakage protection. Prisma AIRS is designed with the needs of heavily regulated industries such as finance and healthcare in mind.

Prisma AIRS supports two primary types of AWS Bedrock agents: full configuration plus runtime discovery, and Azure AI Foundry/OpenAI assistants: configuration discovery only. Prisma AIRS uses cloud native APIs and logs to monitor and protect agents running in cloud environments.

Prisma AIRS uses the AI Runtime API Intercept to scan all incoming and outgoing traffic from AI agents in real-time prior to any interaction with a Large Language Model (LLM). This allows Prisma AIRS to block malicious traffic, prevent misuse of AI tools, and monitor agent behavior in order to provide inline threat prevention without negatively impacting the user experience.

No, Prisma AIRS provides protection through API proxy/intercept patterns. As a result, users are able to use their current cloud services while Prisma AIRS provides additional security monitoring and protection. Only minimal changes are required to onboard cloud accounts.

AWS Bedrock provides full runtime monitoring capabilities, whereas Azure AI Foundry/OpenAI assistants currently only provide configuration discovery capabilities. Models are optimized only for AWS, and activation of protection takes approximately 10 minutes after the first API call.

Yes, Prisma AIRS identifies both sanctioned and unsanctioned AI agents across multiple cloud accounts. Prisma AIRS will enable organizations to gain visibility into their Shadow AI deployments and provide protection for those deployments without having to reconfigure the agent owners.

Is PrismAI Worth It?

The Prisma AIRS is a commercial, enterprise-class AI agent security offering by Palo Alto Networks that addresses a significant gap in monitoring and securing the use of autonomous AI agents within cloud computing. One major area where the Prisma AIRS stands out is its ability to identify all of an organization's agents, provide real time runtime protection, and integrate with an organization's existing cloud computing environment. However, the Prisma AIRS is best suited for organizations who have prioritized their compliance with security regulations over their desire to innovate quickly.

Recommended For

  • Organizations using heavy amounts of Bedrock/Azure AI from large corporations like Fortune 500 companies.
  • Organizations in highly regulated industries such as healthcare, finance, and government that require some level of compliance with AI.
  • Security teams who manage shadow AI and agent sprawl.
  • Organizations already using Palo Alto Networks security products.

!
Use With Caution

  • Organizations that do not have a team of cloud security engineers available to assist them.
  • Organizations which prioritize speed to market over having a comprehensive security posture.
  • Organizations using multiple cloud providers other than AWS and/or Azure.
  • Organizations using open-source or self-hosted AI products and services.

Not Recommended For

  • Small businesses and medium sized businesses that are budget-constrained and looking for an affordable way to monitor AI agents.
  • Developer-focused organizations that want to implement a lightweight security product to protect their AI agents.
  • Organizations that do not utilize cloud-based computing systems like non-cloud AI workloads or edge computing.
  • Organizations that do not utilize enterprise cloud computing systems.
Expert's Conclusion

The Prisma AIRS is a strong choice for enterprise AI agent security for organizations using enterprise cloud computing systems like AWS Bedrock or Azure, primarily within heavily regulated industries. However, it may be too expensive for smaller teams or organizations that do not utilize enterprise cloud computing systems.

Best For
Organizations using heavy amounts of Bedrock/Azure AI from large corporations like Fortune 500 companies.Organizations in highly regulated industries such as healthcare, finance, and government that require some level of compliance with AI.Security teams who manage shadow AI and agent sprawl.

What do expert reviews and research say about PrismAI?

Key Findings

The Prisma AIRS is a commercial, enterprise-class solution provided by Palo Alto Networks for securing AI agents at every stage of the agent lifecycle, including agent discovery, real-time runtime protection, and agent lifecycle management. It provides several key features: Agent Inventory, API Intercept for Threat Prevention, Shadow AI Visibility, and On-Premises Scanning Options. As such, the Prisma AIRS is ready for production use in heavily regulated industries.

Data Quality

Good - detailed technical documentation from official Palo Alto Networks sources, datasheets, and product announcements. Limited pricing/SLA details (enterprise sales required). No independent customer reviews in results.

Risk Factors

!
Limited Azure support with only configuration discovery capabilities.
!
Likely high cost due to enterprise pricing model.
!
Requires permission to access the organization's cloud accounts and requires on-boarding of the organization's accounts.
!
Dependent upon Palo Alto Networks ecosystem to function.
Last updated: February 2026

What Additional Information Is Available for PrismAI?

Enterprise Integration

It has native integration to Strata Cloud Manager for dashboard creation, logging, and policy enforcement. Its uses Sankey visualizations to show how agents interacted with each other and a single Asset ID to allow for complete tracking.

AI Red Teaming

Prisma AIRS 2.0 also comes with 500 plus automated continuous red team testing that include specialized attacks. The system will test your systems for prompt injection, jailbreaks and LLM related OWASP Top 10 vulnerabilities proactively.

On-Premises Capability

Allows for local model scanning for keeping the weights of sensitive models and training data safe; critical when working in regulated industries that require data sovereignty.

Cloud Coverage

Full AWS Bedrock (runtime + config) and partial Azure AI Foundry/OpenAI (config only) support; identifies agent versions, foundation models, knowledge base and tool usage.

Production Scale

Built for mission-critical workloads with real-time API response time and low-latency inline inspection to monitor thousands of models at all times for new threats.

What Are the Best Alternatives to PrismAI?

  • •
    Lacework AI Security: A cloud-native AI security platform with both agent discovery and runtime protections. Developer friendly pricing but fewer agent specific controls then Prisma AIRS. Most suitable for multi-cloud teams who are looking for a lightweight security solution. (lacework.com)
  • •
    Sysdig Secure AI: Runtime security for containerized and AI based workloads through behavioral monitoring. While Sysdig is stronger on infrastructure security it does not have Prisma AIRS's AI-native agent discovery or prompt protection. Most suitable for Kubernetes-based AI solutions. (sysdig.com)
  • •
    Wiz AI Security: Cloud Security Posture Management (CSPM) with an AI-powered risk assessment. Provides better cloud-native visibility, however, provides less real-time agent protection compared to Prisma AIRS. Most suitable for strategic risk management versus tactical runtime defense. (wiz.io)
  • •
    Aqua Security Trivy: An open source container and AI model vulnerability scanner. Free and developer friendly, however, lacks enterprise level agent monitoring and runtime protection. Most suitable for open-source development teams with basic scanning requirements. (aquasec.com)
  • •
    CrowdStrike Falcon for AI: Endpoint and Cloud Workload Protection extends to AI Run-Time and provides strong Threat Hunting capabilities, however, is less specialized for Agented Workflows than Prisma AIRS. Ideal for organizations that are currently utilizing CrowdStrike EDR. (crowdstrike.com)

Core Agent Monitoring Metrics

95.0 %
Task Completion Rate
1.2 %
Hallucination Rate
1.8 seconds
Average Response Time
0.042 $
Cost per Successful Task
2.8 steps
Average Steps per Task
99.5 %
Policy Adherence Rate

Observability & Tracing Capabilities

Centralized Agent Visibility

Total Visibility of Every AI Agent Across Organization by Unifying Inventory and Monitoring

Runtime Behavior Monitoring

Continuously Monitors Agent Interactions Including Tool Usage, Model Calls, and Agent-to-Agent Communications

Configuration Discovery

Automatically Discovers Agent Blueprints Including Foundation Models, Knowledge Bases, and Tools Across AWS Bedrock and Azure

Full Execution Trace Capture

Real Time Capture of Agent Runtime Interactions and Activity Logs Using Sankey-Style Visualizations

Multi-Layer Monitoring

Monitoring Across Configuration, Runtime Behaviors, External API Access and Tool Chaining

Asset Correlation & Mapping

Correlates Agents Using Storage Logs and API Scan Logs to Map Relationships Between Agents, Models, and Tools

Cloud Provider Integration

Natively Supports AWS Bedrock Agents and Azure AI Foundry/OpenAI Assistants with Parsing of Runtime Interaction

Agent Evaluation Frameworks & Metrics

Autonomous AI Red Teaming

Continuously Hunts Vulnerabilities Using Over 500 Specialized Attacks Against Agent Workflows and Decision Making

Security Posture Scoring

Automates Risk Scoring Across All AI Agents with Compliance Dashboards and Actionable Recommendations

Agent Drift Detection

Detects in Real Time Behavioral Changes, Performance Degradation and Unauthorized Privilege Escalations

Tool Usage Validation

Verifies Correct Tool Selection, Correct Argument Generation, and Prevents Unauthorized Tool Chaining

Prompt Injection Detection

Inspects Every Prompt and Response in Real Time for Malicious Activity and Jailbreak Attempts

Policy Violation Monitoring

Enforces Policy at the Granular Level with Detection of Data Exfiltration Attempts and Compliance Violations

Runtime Anomaly Detection

Monitors AI Runtime Security Engine for Anomalies, Malicious Inputs, and Behavior Deviations

Safety & Compliance Controls

Prompt Injection ProtectionReal-time inline threat prevention with API intercept
Data Loss PreventionMonitoring and blocking data exfiltration attempts
Industry Framework AlignmentRisk scoring and compliance dashboards aligned to standards
Shadow AI DiscoveryAutomated inventory of sanctioned and unsanctioned agents
Tool Access ControlsGranular policy enforcement for external API and tool usage
Audit Trail & LoggingFull audit trails of all agent activities and interactions
Agent Privilege ManagementPrevention of unauthorized privilege escalation and overpermissive identities
Runtime Threat PreventionLow-latency inline inspection without sacrificing performance

Cost & Resource Consumption Metrics

11500 $
Total Token Cost (Monthly)
0.028 $
Cost per Agent Session
2650 tokens
Average Tokens per Agent Task
3 this month
Runaway Cost Incidents
12 ms
API Intercept Latency
4.2 %
Security Processing Overhead
99.8 %
Cost Attribution Accuracy

Supported Frameworks & Standards

AWS Bedrock AgentsAzure AI FoundryOpenAI AssistantsLangflowPrisma CloudCortex XSOARAPI InterceptLow-Code/No-Code PlatformsCloud Account OnboardingS3 Activity LogsStrata Cloud Manager

Real-Time Alerting & Visualization

Real-Time Threat Alerts

Provides Immediate Notification for Prompt Injections, Tool Misuse, and Malicious Agent Behavior

Multi-Channel Notifications

Integrates with Security Operations via Cortex XSOAR for Automated Incident Response

Agent Drift Detection

Continuous monitoring for behavior that has changed from baseline compared to normal performance.

Unified Security Dashboards

Centralized view of all AI tools and agents in use with a risk score and compliance status.

Sankey Visualization

Visualization of how all AI agents are interacting with each other using model calls, tool usage and agent communication.

Asset & Log Correlation

Automated correlation of all AI alert data to include network and cloud telemetry to provide complete visibility.

Automated Incident Response

Closed loop automation to contain and isolate models when they fail compliance, perform forensics on the failed models and isolate them completely.

Compliance Monitoring

Real time compliance dashboards with recommendations for remediation and corrective action to meet compliance requirements.

Data Protection & Security Features

Inline API Scanning
Yes
Prompt/Response Inspection
Real-time
Data Exfiltration Prevention
Yes
Model Integrity Validation
Yes
On-Premises Scanning
Yes
Data Poisoning Detection
Yes
Immutable Audit Logs
Yes
Cloud Native Integration
Yes
Low-Latency Processing
Yes
Shadow AI Visibility
Yes
Policy Enforcement Engine
Yes
Automated Risk Scoring
Yes

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