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Protectt.ai AIProtectt

Protectt.ai Labs Pvt. Ltd · Cybersecurity & IT

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews · G2 5
Runs onUnknownSaaS
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

<p><strong>Protectt.ai - AIProtectt: End-to-End Security for Agentic AI</strong></p><p>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.</p><p><strong>AI Red Teaming Platform</strong></p><p><strong>Continuously stress-test your Agentic AI against evolving threats</strong></p><p>AIProtectt's AI Red Teaming Platform simulates sophisticated adversarial attacks to uncover hidden weaknesses across models, prompts, tools, agents, and integrations.</p><ul><li><p><strong>Automated adversarial simulation at scale:</strong> Continuously battle-test Agentic AI systems with real-world attack scenarios, including prompt injection, tool manipulation, data exfiltration, jailbreaks, and multi-step agent exploits.</p></li><li><p><strong>Proactive vulnerability discovery:</strong> Identify and remediate hidden attack paths before they are exploited-transforming weaknesses into hardened defenses.</p></li><li><p><strong>Shift-left and live testing:</strong> Validate every update, feature, and model interaction against the latest threat vectors-both pre-production and in live environments.</p></li><li><p><strong>Continuous resilience validation:</strong> Ensure AI systems remain robust as models, prompts, and workflows evolve.</p></li></ul><p><strong>AI Runtime Security</strong></p><p><strong>Real-time protection for live Agentic AI systems</strong></p><p>AIProtectt provides a live runtime shield that safeguards AI applications from model-borne and interaction-driven threats in production environments.</p><ul><li><p><strong>Deploy a live shield:</strong> Prevent attacks that could compromise systems, leak sensitive data, manipulate outputs, or impact business-critical decisions-before and after deployment.</p></li><li><p><strong>Instant threat mitigation:</strong> Continuously monitor, analyze, and block malicious activity in real time-from prompt injection and data leakage to adversarial manipulation and unsafe tool execution.</p></li><li><p><strong>Policy enforcement at scale:</strong> Apply consistent guardrails for safety, reliability, and compliance as AI usage expands across teams and business units.</p></li><li><p><strong>Operational integrity:</strong> Ensure Agentic AI systems operate securely, reliably, and in alignment with enterprise governance requirements.</p></li></ul><p><strong>AI Model Scanner</strong></p><p><strong>Comprehensive SAST for AI models before deployment</strong></p><p>AIProtectt's AI Model Scanner performs deep static analysis security testing (SAST) to detect vulnerabilities, backdoors, and configuration weaknesses before models enter production.</p><p><strong>Model Serialization &amp; Deserialization Risks</strong></p><ul><li><p>Detect unsafe deserialization in TensorFlow and PyTorch models</p></li><li><p>Identify malicious lambda functions and hidden custom operators within model graphs</p></li><li><p>Surface execution paths that may enable code injection or system compromise</p></li></ul><p><strong>Model Poisoning &amp; Backdoor Detection</strong></p><ul><li><p>Identify statistical anomalies in weights and biases</p></li><li><p>Detect potential backdoor trigger patterns embedded in neural layers</p></li><li><p>Surface signals of training data contamination and integrity compromise</p></li></ul><p><strong>Configuration &amp; Access Control Weaknesses</strong></p><ul><li><p>Flag insecure endpoints and exposed APIs</p></li><li><p>Detect weak authentication mechanisms and insufficient logging configurations</p></li><li><p>Identify misconfigurations that increase attack surface</p></li></ul><p><strong>Model Integrity &amp; Robustness Validation</strong></p><ul><li><p>Validate model checksums and detect unauthorized modifications</p></li><li><p>Assess structural vulnerabilities across the model lifecycle</p></li><li><p>Ensure model artifacts maintain integrity from development to deployment</p></li></ul><p></p>

Highlights

Highlighted by the publisher on AWS Marketplace.

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.

Agent build and provenance

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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-29

CompanyProtectt.ai Labs Private Ltd.Automated
HQIndiaAutomated
IndustryTechnologyAutomated
Websitehttps://protectt.ai/

Plans and pricing as listed

6 listed
Red Teaming
  • Requests
$3,000.00
Model Scanner
  • Requests
$2,000.00
run_attack
  • Requests
$0.01
run_scan
  • Requests
$0.01
Red Teaming
  • Requests
$3,000.00
P1M
Model Scanner
  • Requests
$2,000.00
P1M

Refund terms

As stated by the publisher on AWS Marketplace.

Addressed based on case to case by contacting support with appropriate failure details.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Publisher resources

1 link
AI Red Teaming guideprotectt.aiSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
6 plans listed
Delivery
SaaS
AI Red Teaming guide: https://protectt.ai/ai-red-teaming <p>For any questions or support needs, please contact our dedicated team at consult@protectt.ai . We're committed to delivering fast, reliable assistance and resolving issues promptly to ensure a seamless experience with our product.</p>
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