Writer advances what enterprise-ready AI must look like with its announcement of ISO/IEC 27001, 27701, and 42001 certifications—alongside renewed SOC 2 Type II, Health Insurance Portability and Accountability Act (HIPAA), and payment card industry (PCI) compliance. For buyers navigating increasing pressure from risk, compliance, and regulatory teams, this suite of credentials brings substance to the often-hollow promise of ‘secure’ AI.
The HFS Pulse Survey (H1, 2025) reveals how important security is to today’s enterprise leaders—ranking as a top three concern (see Exhibit 1) among external factors constraining your ability to achieve your goals. It is the only one of the top three that firms can take some control over.
Source: HFS Pulse, H1, 2025, N=305 Global 2000 leaders
Each certification adds a layer of defensibility for enterprise buyers:
This supports an AI architecture where safety and oversight are embedded into the product’s operational fabric. For enterprise IT, legal, and compliance teams, this matters far more than generic promises about trust.
The additional certifications—SOC 2 Type II, HIPAA, and Payment Card Industry Data Security Standard (PCI DSS)—expand Writer’s applicability into healthcare, finance, and other regulated sectors where audit trails and data handling protocols are non-negotiable.
These are threshold requirements for vendors to support mission-critical deployments involving sensitive data. Writer’s ability to meet these criteria positions it strongly in environments where many general-purpose LLM providers are still figuring out how to retrofit security into otherwise open architectures.
Writer’s full-stack model, combining proprietary LLMs, orchestration layers, and security infrastructure, provides consistency and control that stands out in a market fragmented by APIs and third-party integrations. The trust story is reinforced by practical features such as role-based access, agent supervision tools, and explainability interfaces.
And while Writer’s move to the ‘triple-ISO’ stack is commendable, their position is unlikely to be unique for long—and neither does it cover the whole gamut of multi-national business need.
A whole flurry of certifications is increasingly required by leaders in specific domains and/or who are operating in truly global businesses—among them:
Hyperscalers are leap-frogging with FedRAMP High (on the demand of US public sector contracts). And while pure-play model vendors (OpenAI, Cohere) still trail on privacy (ISO 27701) and AI-governance (ISO 42001), they rely on their infrastructure partners’ attestations to deliver trust.
Systems integrators hold core ISO 27001/27701 but use advisory services rather than certifying their nascent LLM platforms. In short, Writer leads on an integrated, product-level trust architecture, but the credential moat is narrowing fast.
What remains to be seen is how many can operationalise these standards at every layer of their architecture. The next procurement cycle will judge depth (continuous controls, public–sector readiness, audit self-service) more than certificate count. For enterprises, the emphasis should now shift to evaluating how trust mechanisms are maintained, monitored, and made visible—not just which ones are claimed.
Buyers also need to reflect on their frameworks. Are your procurement and risk teams equipped to assess modern AI governance claims? Do your internal policies expect the same level of clarity and structure from all vendors?
Writer has moved quickly to build a robust trust foundation that reflects where enterprise AI is heading in terms of compliance and operational maturity. This gives enterprise leaders a credible reference point for evaluating other AI providers.
Now is the time to set higher standards for AI procurement. Use Writer’s certifications and transparency as a benchmark and build internal evaluation processes that demand more than surface-level assurances. The next wave of enterprise AI won’t just be about capability—it will move forward on trust that can be proven.
Discover HFS’ DEFEND framework for AI systems: Securing AI at every layer of the stack.
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