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SecuraGPT · AI Security Platform

Is Your AI Safe
to Run?

The world's first AI-native security testing platform.
Purpose-built for LLMs, GenAI pipelines & agentic AI systems.

Your AI platform tells you what your models are configured to do. SecuraGPT tells you whether they're safe — against the security frameworks your teams actually care about.

AWS Bedrock · us-east-1
Security Dashboard
Overview of monitored systems and current security posture
0%
Health Score
9
Current Risks
0/1
Healthy
5d ago
Last Scan
1 action group can invoke Lambda functions CRITICAL
Model invocation logging is not configured CRITICAL
1 agent has no guardrail protection HIGH
Guardrail missing contextual grounding policy HIGH
Live adversarial scan running...

Aligned with the world's leading AI security frameworks

NIST AI RMF
Full profile mapping
OWASP LLM Top 10
All 10 categories covered
MITRE ATLAS
TTP coverage
EU AI Act
Article 9 compliant
ISO 42001
Alignment in progress

The Problem

Your AI Is Moving Faster Than Your Security

GenAI is being deployed across your products, pipelines, and business processes — often faster than security teams can keep up. AI systems carry a new class of risks that traditional tools were never built to catch.

💉
Prompt Injection & Jailbreaks

Attackers craft inputs that bypass your AI's guardrails, forcing it to reveal confidential data, execute unintended actions, or generate harmful content.

🔓
Model Data Leakage

LLMs trained or fine-tuned on your data can surface sensitive information — PII, trade secrets, internal documents — in response to adversarial prompts.

🤖
Excessive AI Agency

Agentic AI systems with broad permissions can be weaponised — allowing attackers to reach databases, APIs, and downstream services through a compromised model.

🛡️
Guardrail Bypass

Cloud-native guardrails tell you what's configured, not whether it works. Attackers routinely bypass them with simple prompt reformulations.

📋
Compliance Blind Spots

Boards and regulators are asking about AI risk. Without OWASP LLM, NIST AI RMF, or EU AI Act coverage, you have no defensible audit trail.

👁️
No Visibility Across AI Deployments

Enterprises running multiple AI agents across accounts, regions, and cloud providers have no single pane of glass for AI security posture.

What Is SecuraGPT

The Security Layer Your AI Stack Is Missing

SecuraGPT is Pragya Cyber's AI and LLM security testing platform. It combines automated adversarial testing with expert-led red teaming to assess the real-world security posture of your AI systems — then maps findings to the frameworks your security and compliance teams use.

Unlike cloud-native tools that check configurations, SecuraGPT performs live runtime testing — sending actual adversarial probes, jailbreak attempts, PII extraction payloads, and indirect injection attacks against your deployed models.

AWS Bedrock Azure OpenAI Google Vertex AI LangChain LlamaIndex Custom APIs
Monitored Systems · AWS
2
Discovered Bedrock Agents
1
Unguarded Agents
Posture Trend (Last 10 scans)
Critical & High Risks4
Guardrail Coverage1/2
Prompt Overrides2
Elevated Controls2 OVERRIDES

Platform Modules

Four Modules. One Unified AI Security View.

Everything you need to discover, test, validate, and monitor your entire AI security posture.

MODULE · 01
🔍
AI / LLM Asset Discovery
Know what you have before you can secure it.
  • Automated discovery of all deployed AI models, agents, pipelines, and knowledge bases
  • Cross-account, cross-region inventory — supports AWS Bedrock, Azure OpenAI, GCP Vertex AI, custom deployments
  • Identifies IAM roles, permissions, and blast radius for each agent
  • Continuous asset monitoring with drift detection for new or modified deployments
MODULE · 02
⚔️
LLM Red Teaming Engine
Adversarial testing that goes far beyond a configuration check.
  • Automated adversarial probe library: prompt injection, jailbreaks, PII extraction, indirect injection, BOLA, model inversion
  • Expert-led manual red teaming for high-risk AI deployments
  • Tests guardrails at runtime — verifies whether they block real attacks, not just what they're set to block
  • Comparative benchmarking across model versions and deployments to track security regression or improvement
MODULE · 03
Guardrail Validation
Trust, but verify — your guardrails, at runtime.
  • Tests all configured filters (content, topic, grounding, PII) against a live adversarial payload library
  • Identifies gaps between stated guardrail configuration and actual effectiveness
  • Validates knowledge base content for embedded prompt injection in RAG pipelines
  • Produces pass/fail evidence for each guardrail control — audit-ready output
MODULE · 04
📊
AI Security Posture Management
Continuous, framework-mapped AI security reporting.
  • Maps all findings to OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS, and EU AI Act Article 9
  • Risk-scored posture dashboard by agent, deployment, account, and organisation
  • Drift alerts when security-critical AI configuration changes in production
  • Executive and board-level reporting — designed for audit and regulator presentation
  • Extends beyond AWS Bedrock to Azure OpenAI, Google Vertex AI, and LangChain-based deployments

How It Works

Three Steps to Knowing Your AI Is Safe

Simple to connect, thorough in testing, clear in reporting.

01
Connect Your AI Environment

Securely connect SecuraGPT to your cloud account(s). We support AWS Bedrock, Azure OpenAI, Google Vertex AI, and custom LangChain/API deployments. No agents to install — read-only access to configuration; live testing uses your existing API endpoints.

02
Run Assessment + Expert Review

SecuraGPT's engine discovers all AI assets, runs the adversarial probe library, validates guardrails at runtime, and maps findings to security frameworks. For complex deployments, our security team conducts a manual red team review alongside the automated scan.

03
Receive Your AI Security Report

You receive a full AI security posture report: risk-scored findings, OWASP / NIST / EU AI Act mapping, guardrail test evidence, IAM blast radius analysis, and a prioritised remediation roadmap. Ongoing: continuous posture monitoring with drift alerts.

Who It's For

Built for Teams Shipping AI at Speed

SecuraGPT is purpose-built for organisations deploying AI in production.

🚀
AI-First SaaS Companies

Shipping GenAI features to customers and need security evidence for enterprise deals and SOC 2 audits.

🏢
Enterprises Adopting LLMs

Deploying AI agents across internal tools and business processes with no clear security framework.

🔒
CISOs & Security Teams

Responsible for AI security governance but without purpose-built tooling to assess or report on AI risk.

📋
Compliance & GRC Teams

Facing board, regulator, or customer questions about AI risk with no audit-ready evidence trail.

Why SecuraGPT

What No Other Tool Gives You

See how SecuraGPT compares to cloud-native tools and traditional penetration testing.

Capability Cloud-Native Tools
(AWS / Azure)
Traditional PenTest SecuraGPT ✦
Runtime adversarial testing Config check only Manual only Automated + expert
OWASP LLM Top 10 mapping Not covered Manual effort Full automated mapping
NIST AI RMF coverage Not covered Out of scope Complete profile
EU AI Act Article 9 evidence Not covered Not applicable Audit-ready output
Cross-account, cross-region view Per-account only Not applicable Unified dashboard
Guardrail bypass testing Not possible Limited scope Live adversarial probes
IAM blast radius analysis Raw API only Not in scope Agent-specific scoring
Multi-cloud (AWS + Azure + GCP) One cloud only Tool-dependent Platform-agnostic
Knowledge base content scanning Not available Not in scope RAG pipeline protection
Version-to-version benchmarking No comparison Point-in-time only Continuous tracking

FAQ

Frequently Asked Questions

Does SecuraGPT work with AI systems outside of AWS? +
Yes. SecuraGPT is cloud-agnostic. It supports AWS Bedrock, Azure OpenAI, Google Vertex AI, and custom deployments built on LangChain, LlamaIndex, or any REST API-exposed model.
Is this an automated tool or a consulting engagement? +
Both — and that's the point. The platform runs automated adversarial assessments continuously. For complex or high-risk deployments, Pragya's security team conducts a manual red team review alongside the automated scan.
How long does an AI security assessment take? +
An automated assessment of a typical deployment completes in 2–5 business days for the scan and report. A full manual red team engagement runs 5–10 days. We can scope based on your timeline.
What do I receive at the end of the assessment? +
A full AI Security Report: asset inventory, adversarial test results, guardrail validation evidence, OWASP / NIST / EU AI Act framework mapping, IAM blast radius analysis, and a prioritised remediation roadmap.
We don't build AI — we just use AI tools internally. Do we need this? +
Yes. If your team is using AI-powered tools that process company data — including customer data, financial records, or IP — those systems carry the same AI risks. Internal AI deployments are a growing attack surface.
SecuraGPT · Free Assessment

Your AI Is Running.
Is It Safe?

Book a free scoping call and we'll show you exactly what SecuraGPT finds in your AI environment — in 30 minutes.

Or email us at hello@pragyacyber.com