Stay one step ahead with CyberHQ's AI pentesting. Hacker-style pentests and continuous vulnerability scanning for LLMs, AI apps, ML pipelines, and MCPs, delivered as comprehensive AI pentesting services on one platform.
6-figure leaks. $100M stock crashes.
Vanished from Alphabet’s market value after Google Bard messed up a simple fact during a live demo.
SUV sold for $1 after a dealership’s AI chatbot was tricked into honoring a fake deal.
Of ChatGPT Plus users had their data-chats, names exposed during a 2023 security breach.
Users had private conversations leaked after an open-source LLM went live without deployment standards.
Fine paid by a company for using sensitive data to train LLMs without proper consent.
Vanished from Alphabet’s market value after Google Bard messed up a simple fact during a live demo.
SUV sold for $1 after a dealership’s AI chatbot was tricked into honoring a fake deal.
Of ChatGPT Plus users had their data-chats, names exposed during a 2023 security breach.
Users had private conversations leaked after an open-source LLM went live without deployment standards.
Fine paid by a company for using sensitive data to train LLMs without proper consent.
Attackers exploit the memory of chat-based systems by crafting fake prior messages, altering how future responses are generated.
Third-party tools or model hubs may create unmonitored backdoors.
These new exposed endpoints are entry points to your IP, customer data, or model configurations.
Adversarial inputs disrupt model behavior, resulting in incorrect decisions or reputational harm.
Role-playing, misdirection, and cleverly crafted prompts can bypass a model's ethical boundaries and force restricted output.
LLMs may unintentionally expose internal system details or private training data, especially in debug modes.
Governance rules regulating AI are becoming stricter. Lack of controls could mean fines or funding loss.
LLMs can be manipulated through external content, like URLs or documents, that sneak in hidden instructions.
Identify threats and attack vectors with comprehensive manual and automated AI pentesting in 8-15 business days. Scrutinize data pipeline for data poisoning, prompt injection, model extraction, run bias tests, assess guardrails for emerging CVEs, extraction attacks, and authentication weaknesses for complete security testing.
AI supply chain attacks (e.g., poisoned datasets)
ToolCommander and agent-based exploitation
Adversarial Reasoning Attacks
System prompt leakage and excessive agency misuse
Prompt-based attacks: jailbreaks, indirect/context injection, and context poisoning.
PII leakage and unintentional data exposure.
Business logic flaws driven by AI decisions.
OWASP Top 10 vulnerabilities for LLMs.
Model misuse and feature abuse scenarios.
CVE reproduction testing (e.g., Redis bugs, SSRF, exposed configs).
We examine every AI-driven component in your app for vulnerabilities
This forms the foundation for our offensive AI pentesting strategy and helps us surface the most impactful risks early
Businesses (150+ AI-first), with 147K+ assets tested in 2024.
Services driven by expert hackers, not just automated bots.
Always-on scanning without disrupting your production infrastructure.
Get all insights in one place with priority support from dedicated CSMs.
CyberHQ meets global standards with accreditations from
Astra's platform combines AI-aware pentests, automated DAST, and deep API security.
Astra's pentests are designed to help you stay compliant with evolving AI security frameworks
Tiered risk-based compliance mandates robust risk controls.
AI Management System for responsible deployment.
Focuses on AI trustworthiness, bias, and resilience.
Data usage in training must remain privacy-compliant.
AI platforms handling regulated data must prove security.
Everything you need to know about AI pentesting.
AI pentesting is a security assessment that simulates real-world attacks on machine learning models, data pipelines, and APIs to detect vulnerabilities like adversarial attacks, prompt injection, and data leaks.
Yes. Astra supports LLM & Gen AI application penetration testing, including prompt injection, context hijacking, output manipulation, and misuse scenarios.
Not at all. CyberHQ integrates seamlessly into your CI/CD workflows with zero downtime testing, keeping your infrastructure fast and secure.
Yes. We align your security posture with frameworks like the EU AI Act, ISO 42001, GDPR, and more.
Yes, a publicly verifiable certificate and detailed report are included after every test to showcase your commitment to security.
Let's chat about making your releases faster, your AI safer, and your entire infrastructure more secure.