AI Control Plane
Centralize incident oversight with runtime policy enforcement, audit logging, failover support, and visibility across AI apps, agents, and developer tools to reduce exposure and speed coordinated remediation.
Respond faster to AI security, compliance, and operational incidents with runtime controls, audit visibility, and guided remediation. Trussed AI helps enterprises contain risky model behavior, investigate agent actions, and restore safe operations without disrupting production systems or slowing responsible AI adoption.

Targeted services to detect, contain, investigate, and remediate AI incidents across enterprise systems.
Centralize incident oversight with runtime policy enforcement, audit logging, failover support, and visibility across AI apps, agents, and developer tools to reduce exposure and speed coordinated remediation.
Control agent actions during incidents by authorizing tool calls, data access, and workflow triggers in real time, helping teams contain risky behavior before it spreads across connected systems.
Investigate incidents with complete audit trails, policy evaluation records, model versions, timestamps, and data lineage so teams can trace decisions quickly and document corrective actions clearly.
Identify runaway usage and enforce budget thresholds during AI incidents with real-time spend tracking, alerts, and hard stops that prevent costly escalation across teams and workflows.
Strengthen incident readiness with governance strategy, approval workflows, stakeholder alignment, and audit preparation designed to reduce manual effort and improve response consistency.
Maintain continuous compliance during and after incidents with controls aligned to frameworks like HIPAA, GDPR, FERPA, NIST AI RMF, and ISO 27001.

We identify abnormal AI behavior, policy violations, suspicious agent actions, or cost spikes using runtime telemetry, alerts, and audit signals, then classify severity, affected systems, and immediate business risk.
See how enterprises improve AI control, compliance, and recovery readiness.
Built for enterprises that need fast, controlled, and audit-ready AI incident response.
Policies are enforced live across models, agents, and workflows, not after incidents escalate.
Every governed interaction creates traceable evidence for investigations, reviews, and remediation documentation.
Intelligent routing and failover help maintain service continuity during AI disruptions and recovery.
Controls align with SOC 2 Type II, ISO 27001, HIPAA, GDPR, and NIST AI RMF.
Experienced founders in AI, cloud, and enterprise infrastructure.

Co-Founder
Ajay Dankar is Co-Founder of Trussed AI and brings nearly three decades of cloud product and engineering leadership to enterprise AI operations. His background spans Google Cloud, AWS, Adobe, PayPal/eBay, and Visa-acquired Finsphere, where he worked on scale, resilience, fraud detection, and cost optimization. At AWS, he led product management for Elastic Load Balancing, helping expand adoption while improving infrastructure efficiency. That experience now informs Trussed AI's approach to reliable, governed AI systems that can withstand operational stress and recover quickly from incidents. Ajay is especially focused on helping enterprises deploy agentic and generative AI safely across public and hybrid cloud environments. He holds advanced degrees in engineering and computer science from the University of Florida and IIT Delhi.

Co-Founder
Branden McIntyre is Co-Founder of Trussed AI and focuses on infrastructure that helps enterprises deploy AI reliably at scale. Across roles at Rakuten, Cisco, JustAnswer, and Oracle, he saw firsthand how organizations struggled to move from promising AI experiments to dependable production systems. His work leading AI prediction initiatives and machine learning implementations sharpened his understanding of operational gaps, incident risks, and the tooling needed for safer deployment. At Trussed AI, Branden applies that experience to building systems that improve visibility, control, and resilience when AI behavior needs to be investigated or corrected quickly. He is committed to helping enterprises implement AI systems with stronger governance and fewer operational surprises. Branden holds an MBA from UC Berkeley Haas and a Master of Science from New York University.

Co-Founder
Sunita Reddy is Co-Founder of Trussed AI, where she leads AI, operations, and partner strategy for enterprise adoption of generative and agentic AI. With more than two decades of experience across product, AI, and design, she specializes in turning emerging technologies into scalable, enterprise-ready solutions. Her work at JustAnswer, Microsoft, and Accellion included integrating large language models into workflows, building co-pilot systems, and launching collaboration products through strategic partnerships. That blend of operational and product leadership helps Trussed AI design remediation approaches that are practical, scalable, and aligned with real business processes. Sunita is also an inventor with patents in location-based fraud detection, reflecting her long-standing focus on risk-aware innovation. She holds engineering degrees from the University of Maryland and Osmania University.
The 5 C's commonly refer to command, control, communication, coordination, and closure. In AI incident response, that means assigning ownership, containing risky model or agent behavior, keeping stakeholders informed, coordinating technical and compliance actions, and documenting remediation. A strong process also preserves audit evidence, tracks policy decisions, and confirms systems are safe before returning to normal operations.
Talk with our team about response readiness and remediation controls.
Validated controls for secure operations.
Recognized information security standard.
Continuous evidence for enterprise reviews.
Share your current AI environment, incident concerns, or governance gaps, and our team will outline practical next steps for response and remediation.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.