Sold by: Protectt.ai Labs Pvt. Ltd
Deployed on AWS
End-to-end security for Agentic AI systems-from development to production. Protectt.ai delivers continuous, threat-driven protection aligned with OWASP and NIST standards. Compliance-ready and continuously tested, it safeguards modern AI workloads across their entire lifecycle with proactive risk management and real-time defense.
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Overview
Protectt.ai - AIProtectt: End-to-End Security for Agentic AI
AIProtectt delivers comprehensive, lifecycle security for Agentic AI systems in a unified platform. Built for modern enterprises, AIProtectt enables organizations to proactively battle-test, secure, and monitor AI systems-from development through deployment and live operations.
AI Red Teaming Platform
Continuously stress-test your Agentic AI against evolving threats
AIProtectt's AI Red Teaming Platform simulates sophisticated adversarial attacks to uncover hidden weaknesses across models, prompts, tools, agents, and integrations.
Automated adversarial simulation at scale: Continuously battle-test Agentic AI systems with real-world attack scenarios, including prompt injection, tool manipulation, data exfiltration, jailbreaks, and multi-step agent exploits.
Proactive vulnerability discovery: Identify and remediate hidden attack paths before they are exploited-transforming weaknesses into hardened defenses.
Shift-left and live testing: Validate every update, feature, and model interaction against the latest threat vectors-both pre-production and in live environments.
Continuous resilience validation: Ensure AI systems remain robust as models, prompts, and workflows evolve.
AI Runtime Security
Real-time protection for live Agentic AI systems
AIProtectt provides a live runtime shield that safeguards AI applications from model-borne and interaction-driven threats in production environments.
Deploy a live shield: Prevent attacks that could compromise systems, leak sensitive data, manipulate outputs, or impact business-critical decisions-before and after deployment.
Instant threat mitigation: Continuously monitor, analyze, and block malicious activity in real time-from prompt injection and data leakage to adversarial manipulation and unsafe tool execution.
Policy enforcement at scale: Apply consistent guardrails for safety, reliability, and compliance as AI usage expands across teams and business units.
Operational integrity: Ensure Agentic AI systems operate securely, reliably, and in alignment with enterprise governance requirements.
AI Model Scanner
Comprehensive SAST for AI models before deployment
AIProtectt's AI Model Scanner performs deep static analysis security testing (SAST) to detect vulnerabilities, backdoors, and configuration weaknesses before models enter production.
Model Serialization & Deserialization Risks
Detect unsafe deserialization in TensorFlow and PyTorch models
Identify malicious lambda functions and hidden custom operators within model graphs
Surface execution paths that may enable code injection or system compromise
Model Poisoning & Backdoor Detection
Identify statistical anomalies in weights and biases
Detect potential backdoor trigger patterns embedded in neural layers
Surface signals of training data contamination and integrity compromise
Configuration & Access Control Weaknesses
Flag insecure endpoints and exposed APIs
Detect weak authentication mechanisms and insufficient logging configurations
Identify misconfigurations that increase attack surface
Model Integrity & Robustness Validation
Validate model checksums and detect unauthorized modifications
Assess structural vulnerabilities across the model lifecycle
Ensure model artifacts maintain integrity from development to deployment
Highlights
- Comprehensive Coverage: Secure every stage of the Agentic AI lifecycle-from model development and testing to deployment and live operations-through a single, unified platform. Eliminate fragmented point solutions with integrated red teaming, model scanning, and runtime protection working seamlessly together.
- Real-Time Protection: Go beyond periodic testing with continuous monitoring and automated threat mitigation. AIProtectt delivers active runtime defense, detecting and blocking threats such as prompt injection, data exfiltration, model manipulation, and unsafe tool execution as they occur.
- Compliance-Ready Architecture: Built to support enterprise governance and regulatory requirements, AIProtectt aligns with the OWASP Top 10 for LLMs, maps to International Organization for Standardization ISO/IEC 42001, incorporates MITRE ATLAS threat intelligence, and aligns with frameworks from the National Institute of Standards and Technology (NIST). Automated audit trails and reporting provide transparency, traceability, and regulatory confidence.
Details
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Red Teaming | 2 agentic scans per month | $3,000.00 | |
Model Scanner | 2 model scans per month | $2,000.00 |
Dimension | Description | Cost/request |
|---|---|---|
run_attack | Red Teaming per each attack type | $0.01 |
run_scan | Model sacnning for each call | $0.01 |
Dimensions summary
This contract covers two AI security functions, each billed two ways. Red Teaming runs automated adversarial tests on your AI agents. Model Scanner validates AI models before and after deployment. Under the fixed monthly allowances, you get 2 agentic scans per month and 2 model scans per month. The usage-based dimensions charge separately as you exceed or extend that base: run_attack bills per Red Teaming attack type, and run_scan bills per model scanning call. This lets you start with a set monthly allowance and add capacity per attack or per scan as usage grows.
Top-of-mind questions for buyers
An attack type is a distinct adversarial test category, such as jailbreak testing, prompt injection detection, or PII leakage detection. You are billed per attack type run. For run_scan, each individual model scanning call counts as one billable unit, covering checks like bias detection or backdoor detection.
The monthly allowance covers 2 agentic scans and 2 model scans. Beyond that, the usage-based dimensions take over. Each extra Red Teaming attack type bills through run_attack. Each extra model scanning call bills through run_scan. These charges accrue only as you run additional tests past the included amount.
Both charge types can appear together. The fixed allowances cover a set number of scans each month. The run_attack and run_scan charges bill independently per attack type or per scanning call. Your usage volume drives the per-use portion, while the allowance portion stays constant regardless of how much you use it.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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For any questions or support needs, please contact our dedicated team at . We're committed to delivering fast, reliable assistance and resolving issues promptly to ensure a seamless experience with our product.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Chaitanya P.
Nextgen Platform for the security of Mobile Apps
Reviewed on Mar 19, 2024
Review provided by G2
What do you like best about the product?
Faster, easy and highly secured platform
What do you dislike about the product?
A llittle technical knowledge is required
What problems is the product solving and how is that benefiting you?
Protection from rooted & malicious devices and unsecured network