AI Safety for High-Stakes Industries
Specialized AI testing, red teaming, and validation for sectors where failures have catastrophic consequences.
AI Model Risk Management for Trading & Portfolio Optimization
One biased AI trading decision can cost $50M+ and trigger SEC investigations. We help asset managers test their AI models for adversarial attacks, bias, and regulatory compliance.
Critical Risks
- • Biased AI trading models causing millions in losses
- • Flash crashes triggered by adversarial inputs
- • SEC/FINRA scrutiny on AI-driven decisions
- • Model explainability requirements for auditors
- • Adversarial manipulation of data feeds
Our Solutions
- AI model risk assessment & adversarial testing
- Bias detection across demographic & market segments
- Explainability audits for regulatory compliance
- Continuous monitoring for model drift & attacks
- Quarterly model validation (SR 11-7 aligned)
Industry Insights
AI Due Diligence for M&A & Portfolio Companies
Acquiring a company with hidden AI liabilities can destroy deal value. We provide technical AI due diligence to identify risks before you close $50M+ acquisitions.
Critical Risks
- • Hidden AI technical debt in acquisition targets
- • Undisclosed AI bias creating legal exposure
- • Poor AI documentation & governance
- • AI systems failing post-acquisition
- • Regulatory compliance gaps (GDPR, AI Act, bias laws)
Our Solutions
- Pre-acquisition AI technical due diligence
- AI risk assessment for portfolio companies
- Post-acquisition AI remediation roadmaps
- Ongoing AI safety monitoring for portfolios
- Board-ready AI risk reports
Industry Insights
Safety-Critical AI Validation for Mission Systems
AI in weapons systems, autonomous vehicles, and mission-critical applications must be battle-tested. We provide adversarial red teaming and safety validation for defense contractors.
Critical Risks
- • AI failures in mission-critical systems
- • Adversarial attacks on autonomous vehicles
- • Authority to Operate (ATO) approval delays
- • NIST AI RMF compliance requirements
- • Safety case development for certifying authorities
Our Solutions
- Adversarial red teaming for defense AI systems
- NIST AI RMF gap assessments & remediation
- Authority to Operate (ATO) preparation
- Safety case development & documentation
- Continuous monitoring for mission-critical AI
Industry Insights
AI Safety Validation for Drug Discovery & FDA Submissions
AI-discovered drugs must pass rigorous FDA scrutiny. We help pharma companies validate their AI models for safety, bias, and regulatory compliance before submission.
Critical Risks
- • FDA rejections due to poor AI validation
- • Biased AI models excluding patient populations
- • Lack of explainability for clinical decisions
- • Safety concerns in AI-driven drug design
- • Reproducibility issues in AI research
Our Solutions
- AI validation for FDA submissions
- Bias detection across patient demographics
- Explainability audits for clinical AI
- Safety testing for AI drug discovery models
- Documentation packages for regulatory bodies
Industry Insights
NIST AI RMF Compliance & Authority to Operate
Federal agencies must comply with NIST AI Risk Management Framework and pass rigorous Authority to Operate reviews. We help you deploy AI securely and maintain compliance.
Critical Risks
- • NIST AI RMF compliance requirements
- • Authority to Operate (ATO) approval barriers
- • AI security vulnerabilities in federal systems
- • FedRAMP and FISMA alignment challenges
- • Continuous monitoring requirements
Our Solutions
- NIST AI RMF gap assessments
- Authority to Operate (ATO) preparation
- AI security testing & vulnerability assessment
- FedRAMP and FISMA compliance documentation
- Continuous ATO monitoring & renewal support
Industry Insights
Model Risk Management & Regulatory Compliance
Banks, lenders, and FinTechs face strict SR 11-7 model risk management requirements. We test AI models for bias, fairness, and compliance with financial regulations.
Critical Risks
- • SR 11-7 model risk management compliance
- • Biased credit scoring causing discrimination lawsuits
- • CFPB enforcement actions for unfair AI
- • Lack of model explainability for auditors
- • Fraud detection models missing sophisticated attacks
Our Solutions
- SR 11-7 model risk management audits
- Bias & fairness testing (ECOA, FCRA compliance)
- Model explainability for regulators
- Adversarial testing for fraud detection AI
- Ongoing model monitoring & validation
Industry Insights
Clinical AI Safety & FDA Pre-Market Approval
Healthcare AI directly impacts patient safety. We help medical device companies, health systems, and diagnostic AI providers ensure their systems are safe, unbiased, and compliant.
Critical Risks
- • FDA pre-market approval requirements
- • Biased AI causing health disparities
- • HIPAA compliance in AI training data
- • Safety validation for clinical decision support
- • Post-market surveillance requirements
Our Solutions
- FDA pre-market approval preparation
- Clinical AI bias & fairness testing
- HIPAA compliance audits for AI systems
- Safety validation & risk assessment
- Post-market surveillance & monitoring
Industry Insights
Safety-Critical AI for Energy, Utilities & Transportation
AI failures in critical infrastructure can cause blackouts, water contamination, or transportation disasters. We provide safety validation for systems where lives depend on reliability.
Critical Risks
- • AI failures causing service disruptions
- • Safety-critical systems lacking validation
- • NERC CIP and TSA compliance requirements
- • Adversarial attacks on grid/transport AI
- • Lack of fail-safe mechanisms
Our Solutions
- Safety-critical AI validation & testing
- NERC CIP and TSA compliance assessments
- Adversarial robustness testing
- Fail-safe mechanism design & validation
- Continuous safety monitoring
Industry Insights
Why Industry-Specific AI Safety Matters
Generic AI testing misses the risks that matter in your industry. We understand your regulations, threat models, and failure modes.
Regulatory Expertise
We know NIST AI RMF, SR 11-7, FDA guidance, NERC CIP, and industry-specific compliance requirements inside and out.
Threat Modeling
We test for industry-specific attacks: adversarial trading inputs, biased credit models, manipulated medical imaging, etc.
Domain Knowledge
Our team includes former quants, defense engineers, clinical researchers, and federal compliance experts.
Don't Let Your Industry Be The Next AI Failure Case Study
Every sector has had a high-profile AI failure. Banking, healthcare, autonomous vehicles, trading algorithms.
Don't be next.
Confidential consultations • Fast response • No sales pressure