Multi-Agentic Ethics, Governance & Security
Coordinated AI agent teams that continuously audit, detect, and enforce security and compliance across your entire stack — ABAC policies, RACI accountability, vendor risk, and regulatory evidence, all governed by a context graph.
"Your security team is 5 people covering 200 services, 40 vendors, and 3 compliance frameworks. They spend 70% of their time on evidence collection and audit prep instead of actual security work. Multi-Agentic Security puts agent teams on continuous watch — so your humans focus on judgment, not paperwork."
What you are actually dealing with
- Security and compliance teams outnumbered 40:1 by engineering — coverage gaps are inevitable
- Audit prep takes 6–8 weeks of manual evidence collection every cycle
- Policy enforcement is reactive — violations discovered in quarterly reviews, not in real time
- Vendor risk assessments are stale the day they are completed — no continuous monitoring
- RBAC is too coarse; ABAC policies exist on paper but are not enforced programmatically
- Prompt injection, PII leakage, and model drift risks grow with every new AI deployment
How we ship it
- Context graph maps your entire security surface: services, data flows, access policies, vendors, compliance controls, and their relationships
- ABAC policy agents enforce attribute-based access control in real time — every action evaluated against policy before execution
- RACI accountability agents resolve Responsible/Accountable/Consulted/Informed roles per action — frozen snapshots on every decision for audit
- Vendor risk agents continuously monitor model registries, scan for prompt injection and PII leakage (Presidio), and gate data classification
- Compliance evidence agents auto-generate regulator-ready packs (SOX, SOC 2, HIPAA, GDPR, EU AI Act) — one-click export, OCSF-formatted
- Shadow mode agents parallel-run new policies against production decisions before enforcement — measure divergence, not outages
- Every action signed to an immutable audit ledger — your auditor reads the proof instead of re-testing by hand
What we owe you when we miss
Most SI contracts only penalise you for falling behind on payment. Our Reverse SLA flips that - when we miss a named milestone, parity threshold, or budget band, we owe you in credits or refund.
Coverage
Named services and compliance controls in scope — coverage gaps refund proportionally
Evidence
Audit-ready evidence packs generated within 24 hours of request — miss refunds 10% per day
Detection
Policy violations and vendor risk changes detected within 4 hours — SLA breach credits at 2x rate
Timeline
First agent team live in 6 weeks or 20% refund of engagement fee
Security Context Graph + Governance Operating Model
Security context graph mapping services, data flows, policies, vendors, and compliance controls. ABAC policy engine with real-time enforcement. RACI matrix with frozen decision snapshots. Vendor risk dashboard with continuous monitoring. Auto-generated compliance evidence packs (OCSF-formatted). Shadow mode reports for policy rollout confidence.
Big SI playbook vs. Vouchstone
Annual audit prep marathon, manual evidence binders, policy docs nobody reads, vendor questionnaires that are stale on arrival
6 weeks to continuous security governance, real-time policy enforcement, auto-generated evidence, shadow mode for safe rollout
Domains your audit + compliance teams care about
Every action signed to the ledger; every signed action chained into a regulator-ready evidence pack matched to the framework controls below. One-click export, OCSF-formatted for your SIEM.
Ready to start?
Five-minute intake. Sixty-second response with a named lead, a draft scope, and a price band. No sales call needed before you see what we propose.
Other flagship engagements
Business Knowledge Graph & Context Intelligence
Decode your business primitives — docs, code, contracts, conversations — into a living context graph with NLP and voice-driven semantic queries.
Complex Data & Legacy Migrations
COBOL, ASP.NET, Oracle, mainframes, warehouses — migrated to modern cloud platforms with row-level parity proofs and zero-downtime cutover.
Cloud Cost Optimization & FinOps
AI agents that continuously right-size, reserve, and govern your cloud spend — AWS, Azure, GCP — with executive-ready unit economics powered by a cost context graph.