AI Penetration Testing for LLMs, Agents, & MCP Servers
Prove your AI is safe to ship, and customers' data is secure



Why AI Penetration Testing Matters
Prompt injection, model theft, training-time poisoning, over-privileged tools, and privacy failures create unique AI risks that lead to data leaks, fraud, and legal exposure
Mitigate the application risk beyond the model. Instead, secure the entire AI application stack.
Prompt injection and jailbreaks
Model theft and capability cloning
Training-time poisoning and backdoors
Over-privileged tools and agents
Privacy and governance failures
Software Secured’s AI Pentesting
Manual, hacker-led testing across the full AI stack: the model, data retrieval, connected tools, agents, and AI-written code.
Validating where user input can reach systems it should never touch
Model behavior testing
Push the model to ignore its rules, reveal hidden instructions, and produce output that breaks systems downstream
- Expose hidden prompts and guardrail gaps
- Catch unsafe output before it reaches the app
Data retrieval testing (RAG)
Probe whether planted documents or another customer's data can slip into what the model retrieves and reveals
- Surface hidden instructions inside retrieved files
- Prevent one customer from reaching another's data
Connected tools testing (MCP)
Examine what the model can act on, and whether a crafted prompt can make it delete, send, or change things
- Flag tools running with excess access
- Demonstrate injection that triggers real actions
Agent workflow testing
Test multi-step agents where one hijacked instruction can quietly redirect an entire workflow before anyone notices
- Detect planted content that changes agent goals
- Confirm permissions hold at every step
AI-written code testing
Review code shipped fast with AI tools for the gaps it leaves: missing logins, exposed data, and broken access
- Find routes and APIs with no real authentication
- Confirm that customers cannot reach each other's data
Your AI stack has new attack surfaces.
Do you know them?
What sets Software Secured Apart
Concrete loss modeling
We model data leakage, fraud, and unsafe tool actions, then estimate financial impact and prioritize fixes
- Quantify potential financial loss scenarios
- Focus remediation on measurable business risk
Standards-aligned AI test plans
Derived from Mitre AI ATLAS Matrix, Google SAIF Risks, OWASP Top 10 ML
- Map findings to leading compliance frameworks
- Ensure AI coverage meets global standards
Shareable, redacted Portal reports
Role-based views and one-click redacted reports protect sensitive details while tracking remediation
- Enable secure sharing with auditors and buyers
- Track remediation progress across all teams
Experienced pentesters
Full-time certified specialists perform tests and join reviews; no contractors
- Maintain consistency with expert-led testing
- Provide direct guidance through remediation cycles
What Our Clients Say
Trusted by Technology Leaders Protecting AI Systems
Infrastructure decisions matter. Software Secured helped us catch risks early, validate our redesign, and build trust with every customer we onboard.
high growth startups, scaleups and SMB trust Software Secured


Ranked #1 Global Leader in Penetration testing
Trusted by high-growth SaaS firms doing big business
Not sure what to test?
Transparent Pricing for Scalable Application Security
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Our AI Penetration Testing Process
It starts by understanding how your system actually works, what the model can access, what it can do, and what breaks if an attacker gets there first. Every engagement maps to MITRE ATLAS, Google SAIF, and the OWASP Top 10 for LLMs.
Consultation Meeting. Our consultants span five time zones. Meetings booked within 3 days.
Customized Quote. Pricing tailored to product scope and compliance needs. Quotes delivered within 48 hours.
Pentest Scheduling. Testing aligned to your release calendar. Scheduling within 3-6 weeks - sometimes sooner.
Onboarding. Know what to expect thanks to Portal and automated Slack notifications. Onboarding within 24-48 hours.
Pentest Execution. Seamless kickoff, and minimal disruption during active testing. Report within 48-72 hours of pentest completion.
Support & Retesting. Request retesting within 6 months of report delivery. Auto-scheduled within 2 weeks.
“I was impressed at how thorough the test plan was, and how "deep" some of the issues were that their testing uncovered. Also, the onboarding process was simple and painless: they were able to articulate exactly what they needed from us, and showed a clear understanding of the product they would be testing during our initial demo”.
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Frequently Asked Questions
Get answers to common questions about AI penetration testing and how Software Secured supports your AI security goals.
What AI systems do you test?
LLMs, fine-tuned models, RAG pipelines, agents, and tool ecosystems across cloud/on-prem. We assess prompts, embeddings, vector databases, plugins, and the surrounding identity and data layers.
Do you need training data access?
Not always. We detect leakage via black-box prompts and logs. When available, we review datasets/redaction pipelines to evaluate membership inference, lineage, and sensitive data handling.
How does this help compliance?
Findings map to OWASP LLM Top 10, MITRE ATLAS, ISO 42001, GDPR Article 32, and SOC 2 Trust Service Criteria. Evidence packages reduce audit findings, shorten review cycles, and satisfy AI-specific security questionnaires from enterprise buyers.
What makes AI penetration testing different from traditional pentesting?
AI pentesting focuses on risks unique to models and pipelines, such as prompt injection, model poisoning, data leakage. In addition to testing common risk such as authentication, authorization, SQL injection and cross-site scripting.
Which regulations or compliance frameworks require AI pentesting?
While few explicitly mandate it today, frameworks like GDPR, HIPAA, SOC 2, ISO 27001, and the upcoming EU AI Act all expect technical safeguards with evidence-pentesting is the strongest proof.




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