AI Security Assessment
Assess LLM applications, prompts, models, data, tools and integrations for security risks and vulnerabilities.
↗AI SECURITY · GOVERNANCE · ASSURANCE
Secure AI.
Govern AI.
Assure AI.
A centralized assurance layer for the evolving AI ecosystem—connecting technical security assessment, agentic AI risk, governance frameworks, evidence and management reporting.
Built for security, GRC, AI governance and engineering teams
01AssessDiscover risks
02GovernMap controls
03AssureEvidence & insight
AI assurance lifecycle
01 / 03Trustworthy AI starts here
FLAGSHIP PRODUCT — AGENTICARAN
Confidence for
the agentic era.
AgenticAran helps organizations assess, govern and assure AI applications and agentic AI systems.
Connect technical findings with business risks, controls and recognized frameworks. Bring assessments, evidence and remediation into one repeatable assurance workflow.
AI Security+AI Governance+AI Assurance
CAPABILITIES
Designed for the AI security lifecycle.
Practical capabilities for the people responsible for trusted AI.
Agentic AI Assurance
Evaluate agent workflows, autonomy, tool access, permissions, actions and trust boundaries.
↗Framework & Control Mapping
Connect assessment results to leading AI security and governance frameworks through reusable mappings.
↗Risk & Evidence Management
Centralize findings, risks, controls, evidence, remediation status and assessment history.
↗Reporting & Dashboards
Give management a clear view of AI risk, security posture, findings and assurance readiness.
↗A
Make AI assurance repeatable.
Bring your AI risk and governance process into focus.
Start a conversation →FRAMEWORK COVERAGE
Ground assurance in
recognized standards.
Connect security assessment results with established AI security, risk and governance frameworks.
OW
OWASPTop 10 for LLM Applications
↗N
NIST AI RMFAI Risk Management Framework
↗ISO
ISO/IEC 42001AI Management Systems
↗A
OWASP Agentic AIAgentic application security
↗✳
AIUC-1AI security standard
↗＋
More frameworksExtend mappings as needs evolve
↗AI ASSURANCE WORKFLOW
From AI application to assurance.
A structured path from technical assessment to actionable oversight.
01AI application
or agent
or agent
→
02Security
assessment
assessment
→
03Risk &
findings
findings
→
04Framework
mapping
mapping
→
05AI
assurance
assurance
DEPLOYMENT MODELS
Fits your operating model.
Choose the deployment approach that matches your infrastructure, data and operational requirements.
Customer-Managed Cloud
Deploy in AWS, Azure or Google Cloud using a containerized deployment.
For teams that need infrastructure and data control.Private / On-Premises
Run within your data center or private infrastructure.
For regulated, sensitive or restricted environments.Managed / Hosted
Operate AgenticAran as a managed service in a dedicated cloud environment.
For rapid adoption with minimal administration.BUSINESS VALUE
Turn AI risk into
AI confidence.
Make security and governance an enabler of responsible AI innovation.
Talk to our team →Reduce AI Risk
Identify and address AI-specific security risks early.
Accelerate AI Adoption
Give teams a structured assurance process for responsible innovation.
Demonstrate Compliance
Connect assessments to recognized AI security and governance frameworks.
Centralize Assurance
Bring assessments, findings, controls and evidence together.
Improve Audit Readiness
Maintain consistent evidence, assessment history and remediation status.
Scale with Confidence
Apply a repeatable assurance model as your AI portfolio grows.
LET'S TALK
Build trust into
your AI journey.
Talk to us about AI security, governance and assurance for your organization.
mail@agenticaran.com ↗We welcome product enquiries, pilot discussions and partnership conversations.