Artificial Intelligence
Coalfire AI Security and Trust Engineering™
Our AI Security and Trust Engineering services help companies design, build, and operate AI systems that meet compliance targets,as well as deploy AI agents to enhance security and compliance operations.
Our AI Security Offerings
Specialized services designed to secure and protect your AI systems throughout their lifecycle.
CoalfireForgeAI™
Enabling GenAI, AI Agent, and Agentic AI adoption with enterprise-grade security, privacy, and compliance across architecture and lifecycle.
Key Benefits:
- Secure AI Adoption: Controls embedded across lifecycle
- Regulatory Compliance: Meet requirements with frameworks
- Business Enablement: Accelerate innovation and go-to-market securely
Coalfire LegionAI™
Transform manual high-cost security operations into automated workflows that cut overhead, strengthen security posture, and streamline compliance.
Key Benefits:
- Improve Security: Reduce MTTD, vulnerabilities, and incidents.
- Simplify Compliance: Automate controls and audits.
- Reduce Costs: Save 10–20% while adding new capabilities.
Coalfire GuardianAI™
Coalfire's comprehensive framework to secure AI systems end-to-end for compliance and risk mitigation.
Key Outcomes:
- Risk Mitigation: Reduce unique AI risks and vulnerabilities.
- Governance Clarity: Align with new compliance frameworks.
- Resource Optimization: Integrate security for efficiency.
Amazon Web Services
Securing Agentic Workflows Using AWS and Coalfire
Join Nate Dehmuth (Vice President of AI and Services at Coalfire) and Saptarshi Banerjee (AWS Senior Solutions Architect) to explore building secure, autonomous AI agents with reliable security and privacy controls.
Through a real-world case study of support ticket processing agents, this session addresses key challenges including inconsistent processing, inappropriate tool usage, and security violations like PII exposure. Learn how Coalfire's Secure Agent Construct maps to AWS services to implement proper isolation, permissions, and feedback loops.
Discover repeatable design patterns that ensure autonomous agents operate safely within enterprise expectations while delivering reliable outcomes. Perfect for architects, developers, and security professionals seeking to deploy secure AI agents using AWS primitives and Coalfire's proven methodologies.
Ready to secure your AI systems?
Contact our team to learn how Coalfire's AI Security and Trust Engineering practice can help protect your AI investments.
Related Resources
AI Governance
Enhancing Trust in AI: An Overview of AI Certification with the Cloud Security Alliance (CSA)
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