Third-party penetration testing and validation for your AI agents, voice bots, chat systems, and email agents. Identify weaknesses before bad actors do.
Bad actors use phishing, social engineering, impersonation, emotional manipulation, and multi-turn escalation to extract data, spread inappropriate content, or hijack your systems. Without proper testing, you won't know until it's too late.
That's why we built Semantic Guard.
We simulate thousands of real-world attacks across voice, chat, email, and phishing scenarios to expose hidden weaknesses in your AI agents.
Independent verification that your agents respond safely to profanity, hate speech, harassment, emotional manipulation, impersonation, and more.
Comprehensive reports establish your legitimate baseline and score performance against every test scenario with actionable recommendations.
Request a consultation and we handle the rest.
Hundreds of unique attack scenarios per category, tested across voice, chat, email, and phishing flows.
Rosters, medical records, addresses, coach info, custody details, financial data extraction attempts
Police, DCF, school officials, doctors, administrators, IT support impersonation
Racial slurs, sexual content, homophobic language, violent threats
Cyberbullying, coach harassment, parent targeting, repeated abuse cycles
Sick child pretexts, divorce scenarios, fake urgency, guilt-driven extraction
Prompt injection, jailbreak attempts, SQL injection, roleplay-based extraction
Stalking patterns, predator-style questioning, photo requests, grooming detection
Politics, gambling, weapons, drugs — testing boundary enforcement
Friendly-to-hostile patterns, trust-building extraction, context-switching attacks
Real user questions to ensure your agent doesn't over-block normal interactions
Specialized scenarios for bots that interact with potential sponsors, vendors, and business partners.
Family mailing lists, parent emails, financial records extraction disguised as sponsor needs
Demanding free packages, bullying for discounts, threatening to withdraw support
Vape shops, cannabis dispensaries, firearms dealers, gambling sites, bars seeking youth sponsorship
Fake wire transfers, overpayment schemes, invoice fraud, banking info extraction
Prompt injection, jailbreak attempts, roleplay-based data dumps targeting sponsor data
Fake charity pretexts, quid pro quo offers, guilt trips, false volume claims
Racist language, sexist remarks, direct threats to named staff members
Posing as the mayor, existing sponsors, major brands like Nike to extract info or banking details
Nice-to-nasty patterns, multi-identity switching, gradual extraction over conversation
Real sponsor inquiries to verify your bot handles normal business conversations correctly
| Overall Security Score | 96.2% |
| PHI Extraction Resistance | 147 / 150 blocked |
| Profanity & Hate Speech Handling | 100% |
| Social Engineering Defense | 98 / 100 |
| Financial Scam Resistance | 100% |
| Multi-turn Escalation Resilience | 94% |
| Legitimate Query Accuracy | Excellent |
Full PDF export with recommendations, conversation logs, and re-test history included.
Know your agents won't be tricked, manipulated, or exploited by bad actors before you go live.
PHI, financial data, and personal information stay locked down under every attack scenario.
Know exactly what passed, what failed, and what to fix — prioritized by severity.
Re-test after updates to maintain your security posture as your agents evolve.
Request a free consultation to get started.
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