About SAPIEN
The humans keeping AI in the loop.
SAPIEN was created to address a specific gap: no open methodology existed for continuously scoring how models drift across independent behavioral dimensions, with conformance requirements and operational runbooks for production deployment. Existing benchmarks test what models know or how well they follow instructions. None measured what happens when a model knows the right answer but abandons it because a human pushed back.
The framework emerged from real-world testing of production AI deployments in the Managed Service Provider (MSP) ecosystem, where AI tools are deployed to businesses that depend on them for critical operations. When an AI assistant helps manage a company's cybersecurity posture, sycophantic drift isn't an academic curiosity — it's a vulnerability that can be exploited.
SAPIEN treats sycophantic drift as a measurable syndrome — not a single behavior — decomposed into four independent dimensions that can be scored, tracked, and compared. Each dimension captures a distinct mechanism of behavioral degradation: escalating specificity, disappearing risk disclosures, epistemic retreat, and emotional substitution. The result is a framework that doesn't just detect drift — it tells you how the model is failing and where to intervene.
Creator & Lead Author
Framework Contributions
- Formal vulnerability disclosure submitted to Anthropic (February 2026)
- The Rapport Delta — documented rapport-driven safety degradation as a distinct drift mode
- Reference implementation of SAPIEN scoring methodology
Founding Contributors
The SAPIEN Protocol benefits from the expertise and guidance of its founding contributors — practitioners and technologists who shape the framework's direction across regulatory, behavioral, and systems domains.
Karl Fulljames
CTO, Nucleus Networks
Canadian regulatory and data sovereignty advisory
“Member of Canada’s Cybersecurity Council. Advising on international regulatory alignment and Canadian data governance requirements for AI behavioral safety standards.”
Ashley Cooper
COO, CyberDrain (CIPP)
AI behavioral research and human-systems alignment
“15-year MSP industry veteran and COO of CyberDrain, the company behind CIPP, an open-source M365 management platform used by 13,000+ MSPs. GTIA AI Advisory Council member. Advising on behavioral safety measurement from the perspective of how humans actually interact with AI systems — not how we wish they would.”
Vince Kent
Founding Contributor
Collaborative research and validation
“Collaborating on behavioral safety research and real-world validation of drift detection methodologies across production AI deployments.”
Josh Hohbein
Manager of Cybersecurity & Automation, centrexIT
MSP community builder, podcast host, and hands-on certification tester
“Cybersecurity leader, speaker, and MSP community builder — host across the MSP Media Network (MSP Dispatch, MSP Community Live, The Other Side), GTIA Trustmark working group member, and Framework Maps board member. Brings a direct, make-it-actionable style to pressure-testing the SAPIEN certification path — and, a die-hard Colorado Avalanche fan, he backchecks like one: working every angle and calling out the drift before it can score.”
Founding Certified Members
The people who earned a SAPIEN certification and chose to stand up publicly as founding members of the community. Once you’re certified, opt in from yourcertification dashboard — each request is reviewed before it appears here.
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Human Validation Panel
The people whose independent judgments set the human standard the benchmark is measured against. Contributors earn a spot on the panel after contributing validated labels at/validate.
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Acknowledgments
SAPIEN started as a vulnerability disclosure and a question nobody had a good answer for: how do you measure AI behavioral safety? These founding contributors saw it early and committed their expertise to building the answer. This protocol exists because they said yes.
History
SAPIEN was developed through hands-on testing of production AI deployments in the Managed Service Provider ecosystem, where AI tools are deployed to businesses that depend on them for critical operations. The framework is maintained independently as an open framework under CC BY 4.0.
Contributing
SAPIEN is an open framework that welcomes contributions from AI safety researchers, red teams, compliance professionals, and practitioners. Areas where contributions are particularly valuable:
- New test scenarios across underrepresented domains
- Independent validation runs and benchmark data
- Scenario quality review against the authoring rubric
- Implementations in new scoring infrastructure
- SAPIEN Improvement Proposals (SIPs) for framework extensions
Submit contributions via GitHub or contact contact@sapienframework.org.
Governance
The SAPIEN Framework follows an open governance model. Framework changes are managed through the SAPIEN Improvement Proposal (SIP) process defined in Section 16 of the specification. A formal Steering Group is being established to provide independent oversight of the framework's evolution.
Organizations and individuals interested in participating in governance should contact contact@sapienframework.org.
Corporate Sponsors
The SAPIEN Protocol is an independent open framework. Corporate sponsors provide funding, engineering resources, and real-world testing environments. Sponsorship does not grant editorial control over the protocol specification.

Synthreo, as Founding Sponsor, contributes researcher time and compute resources that fund the SAPIEN benchmark scoring runs. Sponsorship carries no editorial control: the framework, scenario corpus, and published scores are maintained independently by SAPIEN Labs LLC.
Interested in sponsoring the SAPIEN Protocol? Contact partnerships@sapienframework.org
Get Involved
Implement SAPIEN
Read the full specification and start measuring behavioral safety.
→Report Issues or Suggest Improvements
Contribute on GitHub — issues, discussions, and pull requests are welcome.
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