Most organisations deploy AI faster than they govern it. SREPRIMER closes that gap — building the policies, risk assessments, and technical controls that keep your AI systems trustworthy, secure, and compliant.
AI deployment moved faster than policy, faster than regulation, and faster than most security teams could respond. Three gaps show up in almost every organisation we assess.
Employees use ChatGPT, Copilot, Gemini, and dozens of other tools without IT awareness. Customer PII, legal strategy, and internal financials pass through unreviewed external systems every day.
Chatbots and AI agents are deployed without input validation, output filtering, or access scoping. A single prompt injection can expose another customer's data or override your system's instructions entirely.
The EU AI Act, India's DPDP Act, and RBI digital lending guidelines create specific, measurable obligations for AI systems. Most teams cannot identify where their compliance exposure begins.
We follow the NIST AI Risk Management Framework as the structural foundation for every engagement. Four functions. One coherent program. Measurable at every stage.
Every deliverable maps to a framework your auditors and regulators already recognise — so the work you do with us is work you can defend externally.
Every engagement starts with a Discovery Sprint. Most clients continue to a Governance Build. The best-positioned organisations move to Ongoing Advisory. Each tier builds directly on the one before.
AI inventory, risk scorecard, and executive readout — in two to three weeks
The Discovery Sprint is a structured assessment run as a guided conversation — not a form to fill out. We interview your team, map your AI systems, and produce a visual Risk Scorecard that shows exactly where you stand against NIST AI RMF and OWASP LLM Top 10.
Full NIST gap assessment, policies, controls, and live OWASP demo — 6–8 weeks
AI inventory, scorecard, executive readout
NIST RMF assessment, OWASP attack demonstration for leadership
AI Use Policy, technical controls, vendor assessments
Staff training workshop, incident response playbook
Everything in the Discovery Sprint, plus the full Governance Build — policies drafted and approved, technical controls implemented, your team trained, and incident response playbooks ready to use. Not a report. A program.
Dedicated advisor, quarterly reviews, regulatory tracking — rolling engagement
AI systems change. Regulations change. New attack techniques emerge. Ongoing Advisory gives you a dedicated SREPRIMER advisor who tracks all of it — and makes sure your governance program stays current and effective.
We map every finding to a specific OWASP LLM risk category — so your team knows exactly what class of threat each gap represents and how to defend against it.
The US federal standard for enterprise AI risk governance. Four functions — GOVERN, MAP, MEASURE, MANAGE — form the backbone of every SREPRIMER engagement.
nist.gov — AI RMF 1.0The most referenced security standard for AI and LLM applications. Every SREPRIMER assessment maps findings to specific OWASP risk categories with concrete defenses.
genai.owasp.org — LLM Top 10Risk-tiered from minimal to prohibited. High-risk AI in hiring, credit, and healthcare faces strict obligations from August 2026. We assess your exposure and map your path to compliance.
eur-lex.europa.eu — EU AI ActThe international certification standard for AI governance programs. Aligns with ISO 27001. SREPRIMER Governance Build engagements are structured to prepare clients for 42001 certification.
iso.org — ISO/IEC 42001In force. Mandatory data breach notification obligations apply to AI systems processing personal data. SREPRIMER maps DPDP obligations specifically for AI architectures and LLM data flows.
meity.gov.in — DPDP ActThe AI equivalent of MITRE ATT&CK. Maps adversarial techniques against machine learning systems. Referenced in SREPRIMER technical sessions for security and engineering teams.
atlas.mitre.orgSREPRIMER produces working programs — tested controls, trained teams, and scorecards your board can actually read.
60 minutes. We'll identify your highest-priority AI governance gaps and show you what a programme would look like for your organisation.