We Operate Your AI Security Program.
Chalir builds and manages your AI security and governance program alongside your CISO, technology and business teams – with specialized focus on AI agents, their permissions, data access, actions and ongoing oversight.
- A dedicated managed service - not a one-time assessment, and not a replacement for your security team.
- Agent-focused expertise
- Ongoing assurance
- Co-managed with your teams
Sample reporting view, not client results or a real-time monitoring console. Scope, evidence and open decisions remain visible.
AI Expertise. Continuous Program Ownership.
Keep your existing security leadership. Add a dedicated program for AI risk reviews, control requirements, validation and ongoing governance—from initial deployment to material changes after go-live.
We manage the AI security lifecycle
Chalir connects specialist AI security work with a recurring delivery process. We assess agreed use cases, define control requirements, manage findings and keep evidence and decisions current.
- Review new AI use cases and material changes.
- Define approved data, tools, permissions and actions.
- Track remediation and validate implementation evidence.
- Escalate exceptions, unresolved risks and decisions.
Six Workstreams. One Managed AI Program.
A coordinated scope for AI use cases, agents and their integrations. Priorities, review depth, technical delivery and service capacity are agreed with your team.
AI & Agent Risk Assessment
Maintain an inventory of agreed use cases and agents. Assess capabilities, data access and business impact before deployment and when material changes enter the review process.
Deliverable: Risk register, prioritized findings and recommended conditions for use.
Agent Identity & Access Security
Define requirements for identities, permissions, secrets and tool authorization. Coordinate specialist review of non-human identities and least privilege where included in the engagement.
Deliverable: Access requirements, review findings and assigned corrective actions.
Guardrails & Control Oversight
Define allowed actions, approval gates, operational limits and stop mechanisms. Support implementation planning and review evidence that the agreed controls are in place.
Deliverable: Control plan, implementation status and validation evidence.
Data Boundaries & Integrations
Review the data and systems an agent can access, including connected tools and Model Context Protocol (MCP) integrations. Define boundaries and track agreed restrictions.
Deliverable: Data-flow and integration review, boundary requirements and remediation actions.
Security Testing & Remediation Validation
Define and coordinate risk-based agent testing, including red teaming where agreed, with your testing team or an approved specialist. Track findings and arrange repeat validation.
Deliverable: Agreed test plan, findings backlog and remediation evidence.
Monitoring & Governance
Define logging and monitoring requirements. Review information from agreed tools and feeds, manage exceptions, coordinate incident follow-up and report risks that need attention.
Deliverable: Monitoring coverage review, exception log and management reporting.
Defined delivery, not blanket promises. Technical testing, specialist identity work and tooling are scoped explicitly. Responsibilities, authorizations and specialist availability are confirmed before commitment.
From AI Adoption to Managed Assurance.
Assess, define controls, manage treatment and revisit the result. Co-managed describes how we work with your people – the service itself is a dedicated AI security program.
Map & Prioritize
Agree the AI portfolio, owners, data, integrations and business priorities. Establish the baseline and identify the highest-priority reviews.
Set Boundaries
Define control requirements, permissions, data boundaries, approval gates and responsibilities for each agreed use case.
Run & Validate
Conduct agreed risk reviews, coordinate technical testing, manage corrective actions and validate evidence of implementation.
Run & Validate
What We Manage Every Month.
A recurring review cycle for the agreed AI portfolio – not a report delivered once and left with your team. Deliverables reflect work completed, open issues and decisions still required.
Living AI & Agent Register
Updated use cases, owners, data access, integrations and deployment status based on agreed intake and change reporting.
Risk Reviews & Change Decisions
Results of agreed reviews, recommendations, pending approvals and the risks introduced by new or changed use cases.
Control & Access Review Status
Progress against guardrails, data boundaries and permission requirements, with gaps and evidence still needed.
Remediation & Test Evidence
Findings with named owners and deadlines, completed validation, outstanding tests and overdue corrective actions.
Exceptions & Incident Follow-Up
Open exceptions, risk acceptance requests and follow-up actions from information received through agreed monitoring and escalation channels.
Executive AI Security Report
A concise view of program coverage, material risks, progress, blocked actions and decisions for your CISO and leadership.
- Monthly deliverables. Change-triggered reviews.
Review volumes, meeting cadence, response times and monitoring coverage are agreed during onboarding. Continuous assurance means recurring oversight within that scope, not unlimited testing or 24/7 monitoring.
Your Teams Keep Control. We Manage the AI Program.
A documented responsibility matrix makes clear who reviews, implements, validates and approves. Technical and business ownership stay with the right people.
Chalir Manages the Program
- Agreed AI risk reviews and control plans
- Remediation tracking and evidence review
- Testing coordination and validation follow-up
- Governance cadence and executive reportin
Internal Teams Implement
- Agent, code and configuration changes
- Access, guardrail and logging controls
- System operations and change reporting
- Implementation evidence and issue resolution
Leadership Approves
- Business use cases and policies
- Risk acceptance and exceptions
- Resources and competing priorities
- Production use and material changes
Specialists Add Technical Depth
- Agent testing and red teaming
- Specialist identity and access work
- Selected AI control implementation
- Defined deliverables within an agreed scope
Start Focused. Build a Managed Program.
A scoped onboarding phase establishes your AI baseline, responsibilities and priorities. It is followed by recurring managed delivery – not just a handover of recommendations.
Target the first 30 days for the initial baseline and operating plan. Timing depends on agreed scope, access and stakeholder availability. Setup, recurring scope and specialist work are defined in the proposal.
For Teams Building or Adopting AI.
For organizations with an existing CISO or technology team that need a dedicated managed AI security program. Scope follows your systems, data, integrations and agent autonomy—not an employee-count threshold.
- AI deployment is expanding
- Agents access business data and tools
- Use cases change after go-live
- Cloud, suppliers, and AI are increasing complexity
- AI responsibility spans several teams
A Defined Service. No Ambiguous Promises.
Agree what is covered, how the work is delivered and where your existing teams and specialists participate.
Yes. Engage Chalir specifically for Managed AI Security & Governance, alongside your internal teams. You do not need to purchase our full managed security program. AI oversight can also be included within that broader program when relevant.
An assessment establishes findings at a point in time. This engagement also manages the control plan, corrective actions, evidence, change reviews, exceptions and recurring reporting within the agreed portfolio.
Testing coverage and delivery are agreed explicitly. Chalir coordinates the test plan and follow-through; technical testing is performed by the agreed internal team or an approved specialist. Scope, authorization and delivery capability are confirmed before work is committed.
No. It means recurring reviews and change-triggered validation within agreed coverage. The service reviews information available from agreed tools and escalation channels. It is not a 24/7 SOC or a guarantee that every unsafe action will be detected or prevented.