Cybersecurity and Strategy for the AI Era
Vioris blends cybersecurity expertise with AI strategy to deliver comprehensive risk and opportunity assessments, tool vetting, and implementation guidance so organizations can innovate confidently while protecting their data and reputation.
How We Work
Assess
We perform a comprehensive top-down assessment of your organization's cybersecurity and AI landscape, whether you're exploring AI adoption or already integrating it into operations. The review identifies security risks, compliance gaps, and opportunities to responsibly implement or optimize AI tools. You'll receive a detailed report with prioritized, actionable recommendations to strengthen resilience, governance, and innovation.
Implement
We collaborate with our clients to turn assessment recommendations into action. Throughout this phase, we will strengthen your cybersecurity foundation and advance your AI capabilities through the deployment of secure architectures, governance frameworks, and integration and optimization of AI tools to ensure your organization operates safely, efficiently, and responsibly in the AI digital landscape.
Progress Alignment
We ensure your cybersecurity and AI initiatives stay on track and continue to deliver value. We review performance against goals, measure the effectiveness of implemented solutions, and refine strategies as your systems evolve. This phase keeps security, compliance, and AI adoption aligned with your organization's ongoing growth and innovation.
What We Do
AI Tool Vetting & Due Diligence
Choose AI tools without security regrets. We independently evaluate vendors and models for:
- •Data handling & retention, training on your data, and tenant isolation
- •Auth, RBAC/ABAC, SSO, and auditability
- •Encryption in transit/at rest, key management, and secrets handling
- •Prompt injection, model abuse, jailbreak defenses, and output controls
- •Supply‑chain risk, model provenance, and update practices
Deliverables: risk scorecard, security questionnaire review, contract/DPAs guidance, and go/no‑go recommendations.
Security Posture Assessment
Understand where you stand—and what to do next.
- •Gap analysis against common frameworks (e.g., NIST CSF, CIS Controls, SOC 2/HIPAA as applicable)
- •Identity & access, endpoint, network, data security, and cloud posture
- •AI‑specific risks: data exfiltration via AI tools, prompt misuse, model/agent access
Deliverables: prioritized roadmap, quick wins, and a 90‑day action plan.
AI‑Safe Architecture & Controls
Design guardrails that enable the business.
- •Data classification & safe‑use policies for GenAI
- •Secure reference architectures (RAG, agent patterns, data gateways)
- •DLP for AI, egress controls, content filters, and governance workflows
Deliverables: reference architecture, control maps, policy templates, and implementation guidance.
Managed AI Risk & Monitoring
Sustain control as AI usage grows.
- •Shadow AI discovery and policy enforcement
- •Continual vendor re‑assessments and change monitoring
- •Metrics: usage, exceptions, violations, and remediation status
Deliverables: monthly risk review, dashboard, and executive summaries.
Readiness & Response for AI Incidents
Be prepared for AI‑related security events.
- •Runbooks for prompt abuse, data exposure, and model behavior anomalies
- •Tabletop exercises with technical and executive teams
Deliverables: playbooks, communications templates, and post‑incident improvements.
AI Detection and Legal Evidence Authentication
Verify authenticity and trace origins of digital evidence for legal proceedings.
- •Authenticate digital evidence: Verify whether photos, videos, audio files, or documents are genuine or AI-generated
- •Detect tampering or manipulation: Expose edits, alterations, and fabricated content that could mislead the court
Deliverables: forensic reports, expert testimony support, and courtroom-ready documentation.