HITRUST AI Security Certification is now available as a standalone offering for deployed AI systems.
Artificial intelligence is no longer a future-state planning topic. It is already embedded in software platforms, business workflows, customer experiences, operational decision-making, and third-party services.
That changes the trust conversation.
Organizations are not only asking what AI can do. They are asking whether AI-enabled systems can be trusted to protect sensitive data, operate securely, and withstand emerging cyber threats. For vendors building or deploying AI, that means customers will expect more than broad claims about responsible AI. For organizations relying on AI vendors, it means traditional vendor assurance may not answer enough of the questions that matter.
AI has created a new assurance challenge. HITRUST AI Security Certification helps address it.
HITRUST AI Security Certification is now available as a standalone offering for deployed AI systems and AI-enabled technologies. This gives organizations a focused path to validated AI cybersecurity assurance without requiring that AI assurance be bundled into a broader certification journey.
That matters because AI risk is not simply traditional cybersecurity risk with new terminology. AI systems blur the lines between data, software, infrastructure, models, automation, and decision-making. The 2026 HITRUST Trust Report describes one of the central challenges clearly: organizations adopting AI often struggle not because controls are absent, but because they are uncertain which controls are necessary, where they should apply, and how they should scale with risk.
AI governance is important. AI security assurance is different.
Many organizations are building AI governance programs. That work is important. Governance helps define oversight, accountability, acceptable use, review processes, and responsible deployment practices. But governance does not prove that an AI system is secure.
AI security assurance asks a more specific question: have the AI system, supporting infrastructure, operating practices, access controls, data flows, and threat mitigations been evaluated against defined security expectations?
That distinction matters.
A policy can say an organization uses AI responsibly. A governance process can document who approves AI use cases. But customers, partners, boards, regulators, and relying parties increasingly need stronger evidence that AI-enabled systems are protected against cybersecurity risks.
HITRUST AI Security Certification helps provide that evidence. Developed with input from AI industry experts, the certification is designed to deliver an AI Security Assessment and accompanying certification for deployed AI systems. It includes a tailored set of AI security requirements for deployed AI systems and addresses relevant AI threats through analysis of multiple sources.
Making HITRUST AI Security Certification available as a standalone offering is an important step for the market.
Organizations are adopting AI at different speeds and in different ways. Some are building AI into customer-facing products. Some are deploying AI internally to improve operations. Some are relying on vendors whose products now include AI-enabled functionality. Some are still early in their AI journey, but already need a way to answer customer and stakeholder questions with confidence. A standalone offering gives those organizations a more direct path to AI-specific assurance.
For organizations developing or deploying AI, it provides a clearer way to demonstrate that deployed AI technologies are being evaluated against cybersecurity, governance, and threat-mitigation expectations.
For organizations evaluating vendors, it creates a more meaningful assurance signal. Instead of asking whether a vendor has a general security report or an AI policy, relying parties can ask whether the AI system itself has been evaluated through a structured, validated AI security assessment.
That is the difference between accepting claims of trust and requiring evidence of trust.
The 2026 HITRUST Trust Report notes that trust is becoming harder to achieve as organizations depend on interconnected ecosystems of vendors, cloud platforms, and emerging technologies while threats grow in scale, sophistication, and impact. It also notes that third-party related breaches doubled in the last year, reinforcing the need for assurance that keeps pace with modern vendor ecosystems.
AI intensifies that challenge.
When a vendor deploys AI, the relying party may inherit risks related to sensitive data exposure, model behavior, AI agent permissions, third-party model dependencies, unsafe AI artifacts, prompt manipulation, telemetry, and human oversight. Those risks may not be visible in traditional vendor questionnaires or broad assurance reports. That creates practical questions for both sides of the relationship.
Vendors wonder how to prove their AI systems are secure enough for customers to trust.
Customers need to know how to evaluate whether AI vendors are managing AI-specific cybersecurity risk appropriately.
HITRUST AI Security Certification helps answer both questions through a validated assurance approach designed specifically for deployed AI systems.
AI is also changing the threat landscape itself.
HITRUST’s Q1 2026 CSF Threat and Mitigation Analysis explains that AI is accelerating parts of both vulnerability discovery and exploitation, and that static security frameworks cannot assume yesterday’s controls are enough. HITRUST addresses this through its Cyber Threat Adaptive capability, which uses threat intelligence, vulnerability research, and real-world attack data to help keep the HITRUST CSF current.
That same analysis expanded beyond MITRE ATT&CK to incorporate MITRE ATLAS, MITRE’s knowledge base of adversary tactics and techniques targeting AI-enabled systems. Based on a review of 4,761 threat articles and 399,764 MITRE ATT&CK and MITRE ATLAS indicators, HITRUST confirmed that the requirements included in HITRUST AI Security Certification remain responsive to the evolving AI threat landscape, with over 97% coverage of adversarial techniques.This is why AI assurance cannot be static. As AI systems become more powerful, more embedded, and more connected to business-critical workflows, assurance must remain aligned to the ways threats are actually evolving.
A new trust expectation for AI
AI adoption will continue to accelerate. The question is whether assurance will keep up. Organizations building AI need a credible way to show that AI security is being addressed. Organizations buying or relying on AI need a stronger way to evaluate the technologies entering their ecosystems. Customers and stakeholders need evidence they can understand and trust.
HITRUST AI Security Certification helps establish that standard.
It gives organizations a structured, risk-based path to validate AI cybersecurity controls for deployed AI systems. It helps translate abstract AI risk into concrete, implementable control expectations. It supports stronger customer trust, better vendor assurance, and more defensible AI adoption.
AI innovation should not outpace trust. With HITRUST AI Security Certification now available as a standalone offering, organizations have a clearer way to prove, request, and rely on validated AI cybersecurity assurance.
Learn how HITRUST AI Security Certification can help your organization demonstrate or require validated cybersecurity assurance for deployed AI systems.