AI Security & Cyber
Secure AI + Use AI to defend.
ARGenesis helps organisations securely build and deploy AI, and use AI to strengthen cyber defence. From securing LLMs, RAG and agentic workflows to improving SOC operations with safe automation, we deliver decision-first solutions that are explainable, auditable and aligned to risk and regulation.
Securing GenAI
SOC automation
Responsible AI
AI SECURITY & CYBER SNAPSHOT
AI Security
( Securing GenAI )
- LLM / RAG security reviews
- Threat modelling & control design
- Guardrails, monitoring & safe deployment
AI for Cyber
( Using AI to defend )
- SOC triage & investigation support
- Phishing & email threat analysis
- Risk scoring & anomaly detection
Responsible AI & Compliance
( Audit-ready delivery )
- Model risk management & documentation
- Data privacy & governance alignment
- Support for audits, boards & regulators
HOW WE THINK ABOUT AI SECURITY & CYBER
Start from risk and decisions not tools.
Security is a decision problem. We begin with the decisions you need to trust, what the model can access, what it can output, how actions are approved, and how incidents are handled then design controls that reduce risk without blocking delivery.
Where we help
- Translating security objectives into AI control requirements
- Identifying priority risks across LLMs, RAG, agents & data pipelines
- Building explainable, auditable controls and monitoring
- Connecting AI safely into day-to-day workflows and systems
How we work
- Joint discovery with business, data, risk, security & IT
- Clear phases: assess → design → implement → operate
- Re-usable patterns across use cases and domains
- Documentation, runbooks and knowledge transfer
AI SECURITY & CYBER SERVICE LINES
From assessment and guardrails to operational defence.
Start with a single use case or design a broader AI security roadmap. Each service line can be delivered standalone or as part of a combined engagement.
AI Security assessment
LLM / RAG / Agents
Assess
- Architecture review: data flows, access, tools, integrations
- Threat modelling: prompt injection, data leakage, tool misuse
- Prioritised remediation plan with quick wins and roadmap
Guardrails, monitoring & safe deployment
Controls that scale
Implement
- Policy layer: approvals, safe actions, role-based access
- Output controls: filtering, grounding and safety checks
- Logging & telemetry for auditability and incident response
Red-teaming & adversarial testing
Prove safety
Test
- Structured testing of jailbreaks and data exfiltration
- Tool-use abuse scenarios for agents
- Findings report + retest support
AI for Cyber: SOC automation & triage
Operate
- Alert enrichment, investigation summaries and case routing
- Safe automation with approvals
- Measurable outcomes: reduced triage time and better consistency
Phishing & email threat intelligence
Faster decisions
Detect
- Automated analysis and classification
- Entity extraction, IOC enrichment and recommended actions
- Reporting to support security ops and user awareness
Responsible AI & compliance enablement
Audit-ready
Govern
- Model risk management: documentation, controls and packs
- Data privacy alignment and safe handling patterns
- Support for committees, boards and regulators
COMMON AI SECURITY RISKS
The risks that typically block AI deployment, solved early.
We focus on the practical failure modes that cause real incidents, audit issues or loss of confidence and design controls that fit your operating model.
TYPICAL ENGAGEMENTS
Start small. Prove safety. Scale with confidence
Three common ways organisations begin each designed for clear outcomes and audit-ready delivery.
AI Security Assessment
2–3 weeks
- Threat model + risk register
- Control gap review
- Prioritised remediation plan
Guardrails & Monitoring Implementation
4-8 weeks
- Policy + output controls implemented
- Logging & monitoring for auditability
- Runbooks + handover
SOC AI Automation Pilot
4-6 weeks
- Working pilot for triage / enrichment
- Human-in-the-loop workflow
- KPIs + scale plan
NEXT STEP
Shape an AI security engagement grounded in your risks and constraints.
Whether you’re securing an existing GenAI deployment or planning a new one, we’ll propose 1–2 right-sized options with clear controls, measurable outcomes and audit-ready delivery.
Not ready for a project? We can start with a short assessment or an awareness session for your leadership team, board or working group.
Share a little about your organisation, AI use case and security objectives.