AI Security
AI and GenAI risk management, LLM and AI agent protection, ISO 42001 compliance.
End-to-end AI security: risk assessment, protection of LLMs and autonomous agents, enterprise policy and compliance with ISO 42001 and NIST AI RMF.
What's included
Who is this for
Organisations using AI, LLMs and automated agents — and wanting to manage risks in a structured way.
The challenge → the solution with SYSTRU
Without SYSTRU
- Employees pasting sensitive data into ChatGPT with no controls
- AI agents with access to enterprise systems — and no sandbox
- Exposure to Prompt Injection, Jailbreaks and Data Poisoning
- Customers starting to ask for ISO 42001 and a written AI policy
With SYSTRU
- A clear enterprise AI policy + staff training
- Guardrails, PII redaction and output filtering
- Threat modeling for autonomous agents
- A structured path to ISO 42001 and NIST AI RMF
Where SYSTRU comes in
AI and GenAI are entering organisations at a pace regulation can't keep up with. Employees pasting sensitive data into ChatGPT, AI‑powered systems being deployed without any security review, and LLMs exposed to Prompt Injection and Data Leakage. SYSTRU brings order: mapping all AI usage (including Shadow AI), technical controls (guardrails, PII redaction), enterprise policy and compliance with ISO 42001 and NIST AI RMF. You enjoy AI without losing the risk picture.
Our areas of responsibility
AI risk assessment
- Map AI usage across the organisation (Shadow AI)
- AI Risk Assessment per NIST AI RMF
- Threat modelling for LLMs and agents
- Use-case classification by sensitivity
Technical protection for LLMs & agents
- Mitigation of Prompt Injection and Jailbreaks
- Sensitive data protection in RAG (PII redaction)
- Output filtering and guardrails
- Agent behaviour monitoring and sandboxing
Governance, policy & regulation
- Authoring an enterprise AI Use Policy
- ISO 42001 (AI Management System) compliance
- NIST AI RMF and EU AI Act alignment
- Decision documentation, ethics and Responsible AI
How it works — a structured engagement
- 01
Map
Identify every AI usage in the organisation — including employee Shadow AI. Define use cases and what's critical.
- 02
Assess risk
AI Risk Assessment per NIST AI RMF, OWASP LLM Top 10 and MITRE ATLAS.
- 03
Policy & controls
Author an AI Use Policy, define technical controls (guardrails, filters) and obtain executive approval.
- 04
Implement & protect
Deploy guardrails, monitoring, PII redaction and an AI-specific incident response plan.
- 05
Monitor & improve
Ongoing monitoring, periodic reviews, adaptation to new models and preparation for ISO 42001.
Pricing model
One-off initial risk assessment. Ongoing support as a vCISO add-on or standalone retainer from ₪2,500/month.
Get a tailored quoteMeasured outcomes
Frequently asked questions
Do we need AI Security if we only use ChatGPT?+
Yes. Staff entering sensitive data into ChatGPT/Gemini/Claude create risk of data leakage, privacy breaches and regulatory exposure. An AI policy and basic controls are essential.
How is AI Security different from a regular CISO?+
A CISO handles general cyber. AI Security handles AI-specific threats: Prompt Injection, Jailbreaks, Data Poisoning, Model Stealing, business-impacting Hallucinations. Both disciplines work together.
What is ISO 42001 and when will we need it?+
ISO 42001 is the AI Management System standard. It will mainly be required in 2026–2027 by institutional customers, SaaS vendors embedding AI, and progressively by regulation (EU AI Act).
Do you also work on AI agents we build?+
Yes. We perform threat modelling specific to autonomous agents — examining tool access, sandboxing, prompt boundaries and guardrails. Whether the agent is yours or a vendor's.
How long does an AI risk assessment take?+
An initial Risk Assessment takes 2–3 weeks. Includes interviews, usage mapping, threat modelling, and a findings-and-recommendations report.
Interested in learning more?
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