6-figure leaks. $100M stock crashes.
AI’s threat surface is real
18%
Only 18% of organizations express high confidence that their existing IAM systems can adequately govern AI agents
63%
of organizations cannot enforce purpose limitations on AI agents, 60% cannot quickly terminate a misbehaving agent, and 55% cannot isolate AI systems from broader network access
340%
Year-over-year surge in prompt injection attacks according to OWASP's 2026 LLM Security Report
1 in 5
organizations confirmed an LLM security incident in the last year, with another 37% either unsure or unwilling to say.
82%
of real-world MCP implementations tested vulnerable to path traversal, and 67% carrying injection risk
40+
CVEs hit MCP implementations in just four months of 2026, including 30+ in a single 60-day stretch.
18%
Only 18% of organizations express high confidence that their existing IAM systems can adequately govern AI agents
63%
of organizations cannot enforce purpose limitations on AI agents, 60% cannot quickly terminate a misbehaving agent, and 55% cannot isolate AI systems from broader network access
340%
Year-over-year surge in prompt injection attacks according to OWASP's 2026 LLM Security Report
1 in 5
organizations confirmed an LLM security incident in the last year, with another 37% either unsure or unwilling to say.
82%
of real-world MCP implementations tested vulnerable to path traversal, and 67% carrying injection risk
40+
CVEs hit MCP implementations in just four months of 2026, including 30+ in a single 60-day stretch.
18%
Only 18% of organizations express high confidence that their existing IAM systems can adequately govern AI agents
63%
of organizations cannot enforce purpose limitations on AI agents, 60% cannot quickly terminate a misbehaving agent, and 55% cannot isolate AI systems from broader network access
340%
Year-over-year surge in prompt injection attacks according to OWASP's 2026 LLM Security Report
1 in 5
organizations confirmed an LLM security incident in the last year, with another 37% either unsure or unwilling to say.
82%
of real-world MCP implementations tested vulnerable to path traversal, and 67% carrying injection risk
40+
CVEs hit MCP implementations in just four months of 2026, including 30+ in a single 60-day stretch.
Astra’s one-of-a-kind Web Pentest Platform
turns your AI infrastructure into Fort Knox
Setup & Onboarding
Go from sign-up to discovering vulnerabilities in minutes. Our self-serve onboarding accelerates AI application penetration testing while giving you support from your CSM whenever needed.
Manual Penetration Test
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 AI security testing.
Reporting & Remediation
Improve your AI/ML security posture with actionable reports, video PoCs, and detailed steps to fix a vulnerability. Get two re-scans to validate fixes and Astra's publicly verifiable certificate once you pass the pentest.
Pentest Certificate
Show off your security chops! Once we've validated your fixes, you'll receive Astra's publicly verifiable pentest certificate. It's like a security badge of honor for your AI systems, LLMs, MLOps pipelines, and MCP servers.
Continuous Pentesting
The security party doesn't stop! Keep your AI infrastructure safe 24/7 with our DAST scanner and API security platform. Use our PTaaS capabilities to continuously pentest every shiny new feature or LLM deployment, monitor continuously for regressions, emerging AI threats, and adversarial attacks.
Don’t let AI application vulnerabilities rewrite your risk profile
Model manipulation
Adversarial inputs disrupt model behavior, resulting in incorrect decisions or reputational harm.
Model Data poisoning
Attackers manipulate training data to generate malicious outputs.
Context manipulation
Attackers exploit the memory of chat-based systems by crafting fake prior messages, altering how future responses are generated.
Permissive integrations
Third-party tools or model hubs may create unmonitored backdoors.
Leaky APIs
These new exposed endpoints are entry points to your IP, customer data, or model configurations.
RAG poisoning
Attackers inject malicious content into your knowledge base to hijack model outputs, exfiltrate data, or bypass guardrails.
Agentic / MCP-specific attacks
Compromised MCP servers and tool-use flows let attackers pivot from a chat message into your files, APIs, and cloud infrastructure.
Model manipulation
Adversarial inputs disrupt model behavior, resulting in incorrect decisions or reputational harm.
Model Data poisoning
Attackers manipulate training data to generate malicious outputs.
Context manipulation
Attackers exploit the memory of chat-based systems by crafting fake prior messages, altering how future responses are generated.
Permissive integrations
Third-party tools or model hubs may create unmonitored backdoors.
Leaky APIs
These new exposed endpoints are entry points to your IP, customer data, or model configurations.
RAG poisoning
Attackers inject malicious content into your knowledge base to hijack model outputs, exfiltrate data, or bypass guardrails.
Agentic / MCP-specific attacks
Compromised MCP servers and tool-use flows let attackers pivot from a chat message into your files, APIs, and cloud infrastructure.
Model manipulation
Adversarial inputs disrupt model behavior, resulting in incorrect decisions or reputational harm.
Model Data poisoning
Attackers manipulate training data to generate malicious outputs.
Context manipulation
Attackers exploit the memory of chat-based systems by crafting fake prior messages, altering how future responses are generated.
Permissive integrations
Third-party tools or model hubs may create unmonitored backdoors.
Leaky APIs
These new exposed endpoints are entry points to your IP, customer data, or model configurations.
RAG poisoning
Attackers inject malicious content into your knowledge base to hijack model outputs, exfiltrate data, or bypass guardrails.
Agentic / MCP-specific attacks
Compromised MCP servers and tool-use flows let attackers pivot from a chat message into your files, APIs, and cloud infrastructure.
Compliance gaps
Governance rules regulating AI are becoming stricter. Lack of controls could mean fines or funding loss.
Indirect Prompt Injection
LLMs can be manipulated through external content, like URLs, documents, or web pages, that sneak in hidden instructions to the model.
Model confusion
Ambiguous or recursive instructions can trick the model into conflicting logic loops, leading to unpredictable or biased behavior.
Jailbreak prompts
Role-playing, misdirection, and cleverly crafted prompts can bypass a model’s ethical boundaries and force it to generate harmful or restricted output.
Sensitive information leakage
LLMs may unintentionally expose internal system details or private training data, especially in debug modes or when exposed to probing inputs.
Goal hijacking
Adversarial prompts redirect your agent away from its intended task toward attacker-controlled actions, outputs, or data leaks.
Version hijacking
Malicious updates or swapped model versions slip past your supply chain to poison outputs, exfiltrate data, or backdoor future releases.
Compliance gaps
Governance rules regulating AI are becoming stricter. Lack of controls could mean fines or funding loss.
Indirect Prompt Injection
LLMs can be manipulated through external content, like URLs, documents, or web pages, that sneak in hidden instructions to the model.
Model confusion
Ambiguous or recursive instructions can trick the model into conflicting logic loops, leading to unpredictable or biased behavior.
Jailbreak prompts
Role-playing, misdirection, and cleverly crafted prompts can bypass a model’s ethical boundaries and force it to generate harmful or restricted output.
Sensitive information leakage
LLMs may unintentionally expose internal system details or private training data, especially in debug modes or when exposed to probing inputs.
Goal hijacking
Adversarial prompts redirect your agent away from its intended task toward attacker-controlled actions, outputs, or data leaks.
Version hijacking
Malicious updates or swapped model versions slip past your supply chain to poison outputs, exfiltrate data, or backdoor future releases.
Compliance gaps
Governance rules regulating AI are becoming stricter. Lack of controls could mean fines or funding loss.
Indirect Prompt Injection
LLMs can be manipulated through external content, like URLs, documents, or web pages, that sneak in hidden instructions to the model.
Model confusion
Ambiguous or recursive instructions can trick the model into conflicting logic loops, leading to unpredictable or biased behavior.
Jailbreak prompts
Role-playing, misdirection, and cleverly crafted prompts can bypass a model’s ethical boundaries and force it to generate harmful or restricted output.
Sensitive information leakage
LLMs may unintentionally expose internal system details or private training data, especially in debug modes or when exposed to probing inputs.
Goal hijacking
Adversarial prompts redirect your agent away from its intended task toward attacker-controlled actions, outputs, or data leaks.
Version hijacking
Malicious updates or swapped model versions slip past your supply chain to poison outputs, exfiltrate data, or backdoor future releases.
AI regulations are live, and enforcement is tightening. Is your security ready?
Astra's pentests are designed to keep you compliant as AI security frameworks evolve
EU AI Act
Tiered, risk-based rulebook requiring adversarial testing and red-teaming for high-risk and general-purpose AI systems.
NIST AI RMF
Govern, Map, Measure, Manage framework that explicitly calls for adversarial testing under the Measure function.
ISO/IEC 42001
AI Management System standard requires security testing and risk controls across the AI lifecycle.
MITRE ATLAS
Adversarial threat matrix mapping real-world attacks against ML and LLM systems, the technical baseline for red-team engagements.
Colorado AI Act
Impact assessments and risk management obligations for high-risk AI, requiring documented testing evidence
HIPAA
Health data privacy and security rules for AI in clinical, diagnostic, and payer systems.
SOC 2
Trust services criteria for AI vendors handling customer data across security, availability, and confidentiality.
Astra's pentest platform keeps AI working for you, not against you
Attack scenarios we simulate
PSD2 & Open Banking
Information Disclosure
Plugin Abuse / Data Leakage
Interface Vulnerabilities
PSD2 & Open Banking
Information Disclosure
Plugin Abuse / Data Leakage
Interface Vulnerabilities
PSD2 & Open Banking
Information Disclosure
Plugin Abuse / Data Leakage
Interface Vulnerabilities
This forms the foundation for our offensive AI pentesting strategy and helps us surface the most impactful risks early
AI at the core. Smarter pentests, fewer headaches
AI-powered threat modeling
Auto-generates threat scenarios based on your app’s features and workflows for more relevant test cases.
Vulnerability resolution assistant
Our chatbot helps devs fix issues faster with contextual, app-specific guidance.
Smarter auth handling
Handles complex login flows, retries, and cookie prompts during scans with AI-driven logic.
Reduced false positives
AI validates findings to cut noise and highlight what actually matters.
Real-time scan decisions
Adapts scan strategies on the fly based on app behavior and structure.
AI-built Trust Center
Summarizes your security posture for easy sharing with customers and auditors
Astra Security is at the forefront of
AI pentest research
AI Penetration Testing Fundamentals
Top 7 AI Pentesting Tools
Study flags critical AI vulnerabilities in fintech, healthcare apps
Astra Security Unveils Research on AI Security
AI Meets Cybersecurity What’s Real, What’s Hype ft Rinki Sethi
NaroHQ Fulfills SOC 2 Requirements with Astra’s AI-Focused Pentesting
Parseur Secures Its AI Document Processing Platform with Astra’s Pentest
AI Penetration Testing Fundamentals
Top 7 AI Pentesting Tools
Study flags critical AI vulnerabilities in fintech, healthcare apps
Astra Security Unveils Research on AI Security
AI Meets Cybersecurity What’s Real, What’s Hype ft Rinki Sethi
NaroHQ Fulfills SOC 2 Requirements with Astra’s AI-Focused Pentesting
Parseur Secures Its AI Document Processing Platform with Astra’s Pentest
AI Penetration Testing Fundamentals
Top 7 AI Pentesting Tools
Study flags critical AI vulnerabilities in fintech, healthcare apps
Astra Security Unveils Research on AI Security
AI Meets Cybersecurity What’s Real, What’s Hype ft Rinki Sethi
NaroHQ Fulfills SOC 2 Requirements with Astra’s AI-Focused Pentesting
Parseur Secures Its AI Document Processing Platform with Astra’s Pentest
Why Astra Security?
Trusted by 1000+ businesses (150+ AI-first), 147K+ assets tested in 2024
engineers
Trust isn't claimed, it's earned
Astra meets global standards with accreditations from
Beyond AI pentesting, full-stack security coverage
Astra’s platform combines AI-aware pentests, automated DAST, and deep API security
API Security Platform
Discovers all APIs—including shadow, zombie, and undocumented.
Deployed in minutes via Postman, traffic mirroring, or API specs.
Integrates with 8+ platforms like Kong, Azure, AWS, Apigee & more.
Get full API visibility and scan results in under 30 mins.
15,000+ DAST tests, OWASP API Top 10 coverage, and runtime risk classification.
Upload OpenAPI specs to tailor scans to your environment.
Continuous Pentesting (PTaaS)
Manual + automated pentests with 15,000+ evolving test cases beyond OWASP & PTES
Hacker-style testing to catch logic flaws & payment bypasses automation misses
Gray & black box pentesting tailored to requirements
Zero false positives, every finding is human-verified
Certified in-house experts (OSCP, CEH, eWPTXv2)
AI-powered dashboard to manage and scale pentests
DAST Vulnerability Scanner
15,000+ tests covering OWASP Top 10, CVEs, and access control flaws.
Authenticated, zero false positive scans with continuous monitoring.
Vulnerabilities mapped to compliances like ISO 27001, HIPAA, SOC 2, GDPR.
Detailed vulnerability reports with impact, severity, CVSS score, and $ loss.
Continuously improves by learning from manual pentests.
Upload OpenAPI specs to tailor scans to your environment.
Trusted by security teams working on AI
Astra secures AI-first companies that
handle billions of dollars in data,
predictions, and decisions.
Loved by 1000+ CTOs & CISOs worldwide
We are impressed by Astra's commitment to continuous rather than sporadic testing.
Astra not only uncovers vulnerabilities proactively but has helped us move from DevOps to DevSecOps
Their website was user-friendly & their continuous vulnerability scans were a pivotal factor in our choice to partner with them.
The combination of pentesting for SOC 2 & automated scanning that integrates into our CI pipelines is a game-changer.
I like the autonomy of running and re-running tests after fixes. Astra ensures we never deploy vulnerabilities to production.
We are impressed with Astra's dashboard and its amazing ‘automated and scheduled‘ scanning capabilities. Integrating these scans into our CI/CD pipeline was a breeze and saved us a lot of time.
We are impressed by Astra's commitment to continuous rather than sporadic testing.
Astra not only uncovers vulnerabilities proactively but has helped us move from DevOps to DevSecOps
Their website was user-friendly & their continuous vulnerability scans were a pivotal factor in our choice to partner with them.
The combination of pentesting for SOC 2 & automated scanning that integrates into our CI pipelines is a game-changer.
I like the autonomy of running and re-running tests after fixes. Astra ensures we never deploy vulnerabilities to production.
We are impressed with Astra's dashboard and its amazing ‘automated and scheduled‘ scanning capabilities. Integrating these scans into our CI/CD pipeline was a breeze and saved us a lot of time.
Frequently asked questions
What is AI penetration testing?
Can Astra test LLMs and generative AI systems?
Yes. Astra supports LLM & Gen AI application penetration testing, including prompt injection, context hijacking, output manipulation, and misuse scenarios
Will pentesting slow down our deployments?
Not at all. Astra integrates seamlessly into your CI/CD workflows with zero downtime testing.
Do you cover compliance requirements for AI?
We align your security posture with frameworks like the EU AI Act, ISO 42001, GDPR, and more.
Do you provide a certificate post-test?
Yes, a publicly verifiable certificate and detailed report are included after every test.
Why do businesses need AI pentesting services?
Businesses need AI pentesting because it blends continuous automated scans with manual testing to uncover real-world vulnerabilities, prioritize fixes, provide contextual remediation (including video PoCs), and deliver audit-ready evidence to reduce noise, speed-up resolution, and protect releases and compliance.
How are Astra’s AI penetration testing services different from automated tools?
Astra’s AI pentesting pairs automation driven breadth with certified manual depth including logic tests plubys OSCP/CEH-led manual pentests, vetted zero-false-positive comprehensive reports, AI-augmented test cases, video PoCs, two free rescans, and real-time expert support.
How long does an AI/LLM systems penetration testing take?
The duration typically ranges from 10 to 15 business days, depending on scope, complexity, and assets tested. This timeline covers automated scanning, manual validation, and delivery of comprehensive, audit-ready reports with prioritized remediation guidance.
How much do AI penetration testing services cost?
AI pentesting services typically range from $5,000 to $50,000+, depending on scope, complexity, and assets tested. Astra engagements include automated scans, manual pentests, two free rescans, and certification, where tailored pricing ensures coverage for both compliance-driven and large-scale security needs.
