Protectt.ai AIProtectt

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