Prove Your AI Is Safe to Enterprise Buyers and Investors
Penetration testing tailored for AI and LLM platforms to uncover 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
Want a technical breakdown of what we test?
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
“We architected Vroozi to meet stringent enterprise and government compliance standards from day one. We brought Software Secured in to violently stress-test that architecture. Their offensive, attacker-minded approach provided the exact third-party validation our enterprise buyers demand, completely removing security friction from our sales cycles.”
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
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”
Security Made Easy Get Started Now
Frequently Asked Questions
Get answers to common questions about proving AI security to enterprise buyers and investors
Why do enterprise security reviews flag AI and LLM-based products?
Enterprise buyers now run AI-specific risk questions into their vendor security reviews, covering prompt injection, data leakage through model outputs, and how customer data is handled inside a RAG pipeline. If you can't produce third-party evidence that these risks have been tested, security teams stall or reject the deal, regardless of how strong your product is.
Do investors ask for AI security evidence during due diligence?
Increasingly, yes. Investors evaluating AI companies are asking how model risk, data handling, and agent permissions have been validated, not just whether the product works. A completed AI pentest gives you a concrete answer instead of a verbal assurance, and it signals that security was built in rather than bolted on after a funding round.
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 compliance frameworks apply specifically to AI and data companies?
GDPR Article 32, SOC 2, ISO 27001, and the EU AI Act all expect technical safeguards for AI systems, even though few explicitly mandate a pentest by name. Enterprise buyers and auditors increasingly treat a pentest as the strongest available proof that those safeguards actually work in practice.
How is this different from a standard security review for fundraising or procurement?
A standard pentest covers your infrastructure and application layer. AI companies face additional scrutiny on model behavior, training data handling, and agent or tool permissions, since those are the areas where enterprise buyers and investors now expect specific evidence. This is where an AI-focused pentest fills a gap a general pentest doesn't cover.
When should an AI startup get its first AI pentest?
Most teams schedule this ahead of an enterprise sales cycle, a funding round, or a compliance certification, whichever comes first. Waiting until a deal or audit is already in progress means security review becomes a bottleneck instead of a selling point.
.avif)