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Best AI Security & Compliance Companies & Agencies (2026)

As AI adoption accelerates, so do the risks - model vulnerabilities, data privacy gaps, regulatory exposure, and adversarial attacks. The specialists listed here provide AI security audits, red teaming, bias testing, and compliance frameworks for organizations in regulated industries or handling sensitive data. Services cover GDPR and HIPAA alignment, responsible AI policy development, model explainability, and ongoing monitoring for model drift and security threats. Whether you're preparing for a compliance audit or proactively hardening your AI stack, these firms bring the technical and regulatory expertise to keep your systems safe.

6 companies listed

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6 companies in AI Security & Compliance

S
Sprinto

Continuous compliance automation for cloud businesses

Bangalore, India
201-500
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M
Mindgard

Automated red teaming and security testing for machine learning systems

London, United Kingdom
11-50
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CA
Credo AI

Governance platform for enterprise oversight of machine learning systems

Palo Alto, United States
51-200
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V
Vanta

Automated security and compliance monitoring

San Francisco, United States
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D
Drata

Automated trust and compliance monitoring for growing companies

San Diego, United States
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S
SentinelOne

Autonomous cybersecurity platform for endpoint, cloud, and identity protection

Mountain View, United States
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Related Categories

AI App DevelopmentAI Workflow AutomationAI Chatbot DevelopmentAI Marketing ServicesAI Content ProductionAI Consulting & StrategyNo-Code AI DevelopmentAI SEO ServicesAI Data & AnalyticsAI Video Production

AI Security & Compliance Companies - Frequently Asked Questions

What does an AI security audit involve?▾
An AI security audit assesses your AI systems for vulnerabilities including prompt injection, data poisoning, model inversion attacks, training data leakage, and adversarial inputs. It also reviews your data handling practices, model access controls, logging, and incident response procedures. Findings are delivered as a risk-ranked report with remediation recommendations.
What is AI red teaming?▾
AI red teaming involves attempting to make an AI system behave in unintended or harmful ways - bypassing safety filters, extracting confidential training data, or manipulating outputs. It mimics what adversaries would do in the real world. Red teaming is increasingly required by enterprise procurement and regulatory frameworks before deploying LLM-based products.
How do I ensure my AI systems comply with GDPR?▾
GDPR compliance for AI systems requires data minimization (only collecting necessary data), purpose limitation (using data only for stated purposes), transparency (informing users of AI decision-making), the right to erasure (ensuring training data can be removed on request), and documented human oversight for automated decisions. Compliance specialists can audit your current practices and produce the required documentation.
What is AI bias testing?▾
Bias testing evaluates whether an AI model produces systematically unfair outcomes for different demographic groups (by race, gender, age, etc.). This is legally required in high-stakes domains (hiring, credit, healthcare) and increasingly expected as standard practice. Bias audits analyze model outputs across protected attribute groups and recommend mitigation strategies.
How much do AI security and compliance services cost?▾
Focused AI security audits for a single system typically cost $5,000–$20,000. Comprehensive enterprise AI compliance programs covering multiple systems, policy development, and staff training range from $20,000 to $100,000+. Ongoing compliance monitoring retainers typically run $2,000–$8,000/month.
6 Best AI Security & Compliance Companies & Agencies (2026) | NextStair