From AI strategy to secure production.
Security experts with 20+ years in cyber and a decade building and securing AI. One team takes you from idea to engineering, integration and secure deployment.
One team, from idea to secure deployment.
Most AI vendors either build or secure. We are security experts who also engineer, so protection is designed in from the first workshop instead of bolted on before launch.
- Senior security experts on every engagement
- Strategy, engineering, integration and security under one roof
- Accountable from first idea to production and beyond
- 1
Ideate
Goals, data and the use cases worth doing first.
- 2
Design
Architecture and threat model, agreed up front.
- 3
Build
From PoC to MVP to production.
- 4
Secure
AI penetration testing and controls proven in the real workflow.
- 5
Deploy
Production, operations and adoption at scale.
AI use cases for the enterprise
Pick an area of your business. See what AI can do there, and how we deliver it safely.
Build your own AI apps and internal tools
Turn a business idea into a secure AI application your teams actually use, from first prototype to production.
Examples
- An internal AI portal tailored to each department
- Quote, proposal and report generators
- Decision-support dashboards with AI insights
How we deliver it
- Build
- Product discovery, UX and a working prototype, then engineering for production.
- Integrate
- Connected to your identity, data sources and existing systems.
- Secure
- Threat-modeled, permission-aware and tested before rollout.
Draft a proposal for the Q3 logistics tender using our pricing rules.
Draft ready: 12 pages, priced from the approved 2026 rate card. Two clauses are flagged for legal review.
- Pricing rules applied
- Sent for legal review
- Access: sales team only
Automate internal procedures and approvals
AI handles the routine steps of HR, procurement, IT and finance processes, while people approve what matters.
Examples
- Employee onboarding and offboarding
- Purchase requests and vendor approvals
- IT and HR service requests
How we deliver it
- Build
- We map the procedure and redesign it around AI and human checkpoints.
- Integrate
- Workflows across Microsoft 365, Teams, ERP and ticketing systems.
- Secure
- Approval gates, audit trails and least-privilege access for every agent.
A new employee starts in Finance on Sunday. Prepare the onboarding.
Accounts requested, laptop ordered and welcome pack sent. Finance system access is waiting for manager approval.
Company knowledge, one question away
Employees ask in plain language and get answers from your own policies, procedures and documents.
Examples
- Policy and procedure assistant
- Safe Microsoft 365 Copilot rollout
- Meeting, email and report summaries
How we deliver it
- Build
- Assistants grounded in your content, with answer quality measured.
- Integrate
- SharePoint, Teams, drives and wikis, kept in sync.
- Secure
- Oversharing found and fixed before launch, so answers respect permissions and sensitivity labels.
What is our travel policy for client visits abroad?
Economy for flights under 6 hours, business class above that. Book through the travel desk at least 14 days ahead.
Process contracts, invoices and claims at scale
AI reads, extracts and cross-checks documents, and sends only the exceptions to your experts.
Examples
- Contract review and clause comparison
- Invoice matching and anomaly detection
- Compliance checks and audit preparation
How we deliver it
- Build
- Extraction and validation tuned to your document types.
- Integrate
- Results flow straight into ERP, document management and finance systems.
- Secure
- Sensitive data classified, masked where needed and shared only with the people who need it.
Review the new supplier agreement against our standard terms.
Three deviations: 90-day payment terms (standard is 60), no data-protection annex, and an auto-renewal clause.
Faster service with AI on the front line
Service and sales teams get AI that summarizes, drafts and recommends, and customer-facing assistants launch safely.
Examples
- Service copilot with case summaries and replies
- Customer chat assistant with guardrails
- Sales briefings and CRM updates
How we deliver it
- Build
- Assistants designed around your service playbook and tone of voice.
- Integrate
- Inside your CRM, contact center and messaging channels.
- Secure
- Tested against prompt injection, data leakage and off-brand answers.
Summarize this customer's last five interactions before my call.
Long-time customer with two open tickets about delivery delays, interested in the premium plan. Suggested next step: offer expedited shipping.
Adopt AI without losing control
Know where AI is used across the company, set clear rules, and prove your AI is safe before and after launch.
Examples
- AI policy, governance and risk classification
- Shadow AI discovery and safe alternatives
- AI penetration testing and red teaming before go-live
How we deliver it
- Build
- An AI governance model that fits how your business works.
- Integrate
- Controls built into the tools and platforms you already own.
- Secure
- Adversarial testing with a clear go or no-go and a remediation plan.
Is our customer support bot ready to launch?
Two of three checks passed. A crafted message can still trigger an unauthorized refund. Fix this before launch.
Security that follows the work, not only the data.
Access to data doesn't authorize every AI action. We secure the whole workflow, then prove the controls hold with AI penetration testing.
Where an AI workflow can go wrong
Select a stage to see the risk and our control.
Risk
Instructions hidden in emails, documents or web pages hijack the assistant (prompt injection).
Control
Instruction hierarchy, input provenance checks and adversarial testing against realistic attacks.
Risk
Retrieval pulls sensitive records into the model's context beyond what the task needs.
Control
Classification-aware retrieval, sensitivity labels and DLP applied to AI interactions.
Risk
The model is talked out of its restrictions or plans an unsafe course of action.
Control
Policy guardrails, evaluation suites and red-team findings tied to release decisions.
Risk
Over-privileged tools let an agent change production systems or send data out.
Control
Least-privilege tool scopes and human approval for irreversible actions.
Risk
Sub-agents inherit authority that nobody reviewed or owns.
Control
Scoped delegation, named owners and traceable handoffs between agents and people.
Risk
Automated actions that nobody can explain, audit or roll back.
Control
Audit trails, continuity and recovery plans, and evidence that supports sign-off.
Standards we map our work to
- OWASP Top 10 for LLM Applications
- MITRE ATLAS
- NIST AI RMF
- ISO/IEC 42001
- ISO/IEC 27001
- EU AI Act
- Israel Privacy Protection Law, Amendment 13
What you receive
Every assessment ends with findings your engineers can fix and a summary your board can read.
Every engagement includes
- Findings with evidence and fixes
- A one-page board summary
- A retest of fixed findings
Support bot can be talked into issuing refunds
- Mapped to
- OWASP LLM06 Excessive Agency, MITRE ATLAS AML.T0051 LLM Prompt Injection
- Evidence
- A crafted customer message made the agent call the refund tool without approval.
- Fix
- Require human approval for refunds and limit the tool to read-only order lookups.
- Retest
- Passed after the fix
What we do
Seven practices, one team. Pick one to see what it covers.
Lens: Build
AI strategy and transformation
Decide where AI pays off, in what order, and who owns it once it is live.
Includes
- AI readiness and maturity assessment
- Use-case discovery, prioritization and ROI
- AI roadmap, operating model and center of excellence
- Build-vs-buy and vendor assessment
Lens: Build
AI solutions and product development
Custom applications that solve a specific business problem, built to production standard.
Includes
- Custom GenAI applications and copilots
- PoC, MVP and production delivery
- Document intelligence and decision support
- Predictive AI and tailored ML solutions
Lens: Integrate
RAG, knowledge and AI agents
Assistants and agents grounded in your own knowledge, evaluated before they are trusted.
Includes
- Enterprise RAG and knowledge assistants
- AI agents and agentic workflows
- Vector search, embeddings and grounding
- Context engineering and model evaluation
Lens: Integrate
Automation and enterprise integration
AI that works inside the systems your teams already use every day.
Includes
- AI-powered workflow automation
- Microsoft 365, SharePoint and Teams
- CRM, ERP and API integrations
- Human-in-the-loop business processes
Lens: Secure
AI security, governance and privacy
Controls that keep sensitive data and automated actions accountable without blocking useful work.
Includes
- AI threat modeling and secure architecture
- Secure RAG, data leakage and prompt risks
- AI governance, policies and risk classification
- Privacy, compliance and third-party AI risk
Lens: Secure
Penetration testing and red teaming
We attack your systems the way real adversaries would, from AI assistants to the front door, and hand you the evidence and the fixes.
Includes
- AI and LLM application pentesting: prompt injection, jailbreaks, agent and tool abuse
- Web, API, mobile and cloud penetration testing
- Network and infrastructure testing, internal and external
- Physical intrusion and social engineering, including phishing
Lens: Secure
AI platform, LLMOps and adoption
The platform, operations and skills that keep AI reliable, affordable and in use.
Includes
- Cloud and hybrid AI platform architecture
- LLMOps, MLOps, CI/CD and observability
- Quality, cost, performance and resilience
- Training, mentoring and expert advisory
AI is our focus. Information security is our foundation.
Before AI, we spent two decades securing banks, online gaming platforms and growing companies. We still deliver that core security work, with the same senior team, and it is what keeps our AI work safe.
Talk to us about information securityRisk assessments and hardening
Gap and risk assessments across networks, endpoints, identity and cloud, ending in a prioritized hardening plan.
Penetration testing, AI included
AI applications and agents, web, API, mobile, network, cloud and physical tests, with a retest once the fixes are in.
Compliance programs
ISO 27001, SOC 2, GDPR and Israeli privacy rules: gap analysis, policies, audit readiness and automation that keeps evidence current.
Cloud and IT architecture
Secure design and configuration reviews for cloud, Microsoft 365 and on-premise environments.
Data protection and privacy
Data classification, access reviews and data loss prevention, in line with privacy law.
Security tools and vendors
Choosing and rolling out the right security tools, without paying for overlap.
How to start
Three fixed-scope ways to begin. Each ends with a clear report and a plan.
AI security assessment
Typical duration: 2–3 weeks
One AI assistant, agent or workflow reviewed end to end: threat model, adversarial tests and data-exposure checks.
Ask about thisYou receive
Findings with evidence, a prioritized fix plan and a board summary.
Microsoft 365 Copilot readiness
Typical duration: 3 weeks
Find what Copilot could overshare before your people do, then fix permissions, labels and DLP.
Ask about thisYou receive
An oversharing map, a label and DLP plan, and rollout guardrails.
Penetration test
Typical duration: 1–4 weeks, scoped
AI applications, web and API, network and cloud, or physical and social engineering, scoped to what matters most.
Ask about thisYou receive
A report with evidence and fixes, and a retest of what you fix.
Not sure where to start? Begin with a 30-minute discovery call.
AI adoption across the whole company
Tools alone don't change how a company works; people do, and each group needs something different. We run enablement for five groups, each with its own targets and with security built into every layer, and help you stand up the central team that keeps it going.
Business leaders
- Who
- Heads of departments and business units.
- Goal
- Decide where AI creates value in their unit, fund the right projects and reshape how work gets done.
- What we deliver
- A unit-level AI roadmap with governance, and a training plan tied to the unit's targets.
Team leads
- Who
- The managers who turn strategy into daily habits.
- Goal
- Set AI goals for their teams, model good use and measure what is really being adopted.
- What we deliver
- Workshops on running teams with AI, with simple adoption and risk metrics.
Builders
- Who
- Developers and IT people who build tools for their own units.
- Goal
- Ship internal AI apps that solve real problems and pass security review the first time.
- What we deliver
- Hands-on secure AI development: prompt-injection defenses, data access and agent permissions, with certification.
Champions
- Who
- Curious early adopters spread across teams.
- Goal
- Show colleagues what works, bring needs from the field and flag risky tools before they spread.
- What we deliver
- A champions community with regular briefings on new tools and new risks.
All employees
- Who
- Everyone who uses AI at work.
- Goal
- Get real time back from AI tools without putting company data at risk.
- What we deliver
- Practical AI skills, Copilot know-how and clear rules on what never goes into a prompt.
A central AI team that keeps it running
We help you set up the small central team that supports every group:
- Approved tools and usage rules
- Shared platforms and data access
- A prioritized project pipeline
- Help for builders and users
- AI security and privacy policy
Also as standalone sessions
AI security lectures
Leadership, security teams, company events
Secure AI development for dev teams
Developers and engineering leads
Corporate AI strategy sessions
Executives and management
AI awareness for employees
All staff
Who you'll work with
Senior people on every engagement, from strategy to the test report.
Tony Voloshko
Founder, AI and cyber security
15+ years securing complex systems in banking, online gaming and beyond. Former CISO of a startup building an AI product.
Avishai Ostrin
Privacy and AI regulation
Dual-qualified lawyer (Israel and UK) and founder of TrustIZ, advising global tech companies on data privacy and AI regulation.
Built for regulated organizations
Confidential by default
NDA before scoping. Findings are encrypted, shared on a need-to-know basis and deleted on request.
Independent testing
For assurance work, testers are separate from the people who built the system.
Local and international rules
Work mapped to Israeli privacy law and sector regulators, and to EU and international AI standards.
Hebrew and English
Workshops, reports and board summaries in the language your teams work in.
Questions we hear often
How does an engagement start?
With a 30-minute discovery call. We agree on one workflow or system to look at first, then send a fixed scope and timeline.
Do you only advise, or also build and test?
All three. We design and build AI solutions, integrate them with your systems and test them the way an attacker would, so security is part of the work from day one.
Do you also handle information security that isn't about AI?
Yes. AI is our focus, but information security is where we come from: risk assessments and hardening, penetration testing of AI and classic systems alike, compliance programs such as ISO 27001 and SOC 2, cloud security and data protection.
Can the team that builds our AI also test it?
For assurance and penetration tests we assign testers who were not involved in building the system, so the results are independent.
Do you run physical penetration tests and social engineering?
Yes. Alongside AI, web, network and cloud testing, we run physical intrusion tests and phishing campaigns, always with written authorization and agreed rules of engagement.
Which frameworks do you work with?
We map findings and controls to the OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF and ISO/IEC 42001, and to the rules that apply to you, such as Israel's Amendment 13 and the EU AI Act.
Do you work with companies outside Israel?
Yes. We work in Hebrew and English, with Israeli enterprises and with international companies.
Bring us one AI challenge that matters.
Most engagements start with a discovery call or a focused review of one workflow. Tell us what you are working on.
Or reach us directly
Derech Menachem Begin, Tel Aviv-Yafo, IsraelWorking with clients in Israel and worldwide.