Penetration Testing Services for AI Companies
Penetration testing tailored for AI and LLM platforms uncovers prompt injection, insecure pipelines, and compliance risks, providing reproducible proof for auditors, investors, and enterprise buyers.
Top Threats Facing AI Companies
Prompt Injection Exploits
Attackers override prompts to exfiltrate data silently
- Hidden injections expose confidential information
- Silent leaks trigger compliance and trust loss
Model Poisoning
Malicious data corrupts training pipelines and outcomes
- Compromised datasets alter model decision integrity
- Poisoned inputs cause biased or unsafe behavior
Insecure Integrations
Weak connections expose sensitive data via APIs
- Misconfigured plugins leak confidential information
- Weak authentication enables lateral attacker movement
Regulatory Exposure
AI systems must meet compliance safeguard requirements
- EU AI Act and GDPR violations risk fines
- Missing safeguards fail SOC 2, PCI DSS, ISO 27001 and HIPAA and auditor reviews
Enterprise Deal Risk
Missing pentests undermines sales and investor trust
- Absent pentesting delays enterprise contract approvals
- Missing evidence stalls funding and revenue growth
AI & LLM Security In Numbers
300k
prompt injection attempts globally
65%
cite data protection as the primary barrier to AI adoption
56%
56% of prompt injection tests succeeded in tests across 36 LLM architectures
What You Get with Software Secured's AI Penetration Testing
Software Secured delivers penetration testing tailored for AI and LLM companies, exposing adversarial model risks, validating compliance controls, and producing reproducible evidence for auditors, investors, and enterprise buyers.
AI-Specific Test Plan
Pipeline & Integration Testing
Portal Support
Compliance Alignment
Quick Retesting
Real Results for Data & AI Companies
“Given the types of vulnerabilities they found and their understanding of how we can improve our overall security posture, we experienced the value of investing in real security by working with a company that cared about our reputation as much as their own.”
high growth startups, scaleups and SMB trust Software Secured
"Their team delivered on time and was quick to respond to any questions."
Trusted by high-growth SaaS firms doing big business
Recommended Services
Combine these offerings to gain trust with enterprise buyers and accelerate sales cycles.
Our Penetration Testing Process
We make it easy to start. Our team handles the heavy lifting so you can focus on keeping your attack surface protected without the headaches.
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 securing financial systems with Penetration Testing
Is penetration testing required for AI & LLM compliance?
Not explicitly, but regulations like GDPR and the EU AI Act require safeguards. Pentesting is the strongest proof that controls protecting AI systems actually work.
Which AI-specific risks align with penetration testing?
Pentests uncover prompt injection, model poisoning, and insecure integrations. These risks map directly to AI Act safeguards and enterprise buyer security expectations. Our AI pentesting align with Mitre AI ATLAS Matrix, Google SAIF Risks - Security AI Framework, OWASP Top 10 Machine Learning Vulnerabilities.
How often should AI & LLM pentesting be performed?
At least annually and after major system changes. Frequent pentests ensure evolving adversarial threats are addressed and compliance evidence remains current.
What happens if AI vendors skip penetration testing?
Vendors risk failed audits, enterprise deal loss, investor skepticism, and reputational damage if regulators or clients discover untested AI security controls.
How does pentesting reduce AI compliance and breach risk?
Pentests reveal vulnerabilities scanners miss, helping reduce breach likelihood, avoid fines, and accelerate adoption by providing enterprise-ready security assurance.
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