[AI_SEC] LLM_AGENTIC_THREAT_MODEL :: MONITORING
[AI_SEC] PROMPT_INJECTION_DETECTED :: 0_CONFIRMED
[AI_SEC] AI_SPM_ASSET_INVENTORY :: 47_MODELS
[AI_SEC] TRAINING_DATA_POISON_SCAN :: SCHEDULED
[AI_SEC] MODEL_INVERSION_RISK :: ASSESSED
[AI_SEC] GUARDRAIL_ENFORCEMENT :: ACTIVE
[AI_SEC] EU_AI_ACT_RISK_CLASS :: MAPPED
[AI_SEC] LLM_OUTPUT_MONITOR :: LIVE
[AI_SEC] TOOL_CALL_GOVERNANCE :: ENFORCED
[AI_SEC] SHADOW_AI_DISCOVERY :: 12_NEW
[AI_SEC] ADVERSARIAL_SIM_CADENCE :: QUARTERLY
[AI_SEC] AI_SUPPLY_CHAIN_AUDIT :: IN_PROGRESS
[AI_SEC] BIAS_FAIRNESS_REVIEW :: COMPLETE
[AI_SEC] AGENTIC_WORKFLOW_RISK_MAP :: ACTIVE
[AI_SEC] LLM_AGENTIC_THREAT_MODEL :: MONITORING
[AI_SEC] PROMPT_INJECTION_DETECTED :: 0_CONFIRMED
[AI_SEC] AI_SPM_ASSET_INVENTORY :: 47_MODELS
[AI_SEC] TRAINING_DATA_POISON_SCAN :: SCHEDULED
[AI_SEC] MODEL_INVERSION_RISK :: ASSESSED
[AI_SEC] GUARDRAIL_ENFORCEMENT :: ACTIVE
[AI_SEC] EU_AI_ACT_RISK_CLASS :: MAPPED
[AI_SEC] LLM_OUTPUT_MONITOR :: LIVE
[AI_SEC] TOOL_CALL_GOVERNANCE :: ENFORCED
[AI_SEC] SHADOW_AI_DISCOVERY :: 12_NEW
[AI_SEC] ADVERSARIAL_SIM_CADENCE :: QUARTERLY
[AI_SEC] AI_SUPPLY_CHAIN_AUDIT :: IN_PROGRESS
[AI_SEC] BIAS_FAIRNESS_REVIEW :: COMPLETE
[AI_SEC] AGENTIC_WORKFLOW_RISK_MAP :: ACTIVE
Emerging Tech Security · Domain 06 · Tier 3
AI & Machine Learning Security
AI Security Posture Management, adversarial ML threat mitigation, and LLM agentic security governance across your enterprise AI estate.
The Case for AI & Machine Learning Security
Enterprises are deploying AI agents with access to sensitive data and business-critical systems at a pace that has outrun any governance capability to manage the risk.
Of organisations have deployed AI/ML models in production with no formal security review process
[Gartner AI Security Market Guide 2024]
OWASP LLM Top 10 vulnerability classes documented in production LLM deployments — all exploitable without dedicated controls
[OWASP LLM Top 10 Project 2023]
Maximum EU AI Act fine for deploying prohibited AI practices — or 3% of global annual turnover
[EU AI Act Article 99, 2024]
AI-SPM Governance vs. Ungoverned AI Deployment
Enterprise AI adoption has created a new category of security risk that traditional security controls are not designed to address. LLM agents with tool-call capabilities can be manipulated through prompt injection to exfiltrate data, execute unauthorised actions, or pivot to connected systems. Training data pipelines are susceptible to poisoning attacks that embed adversarial behaviours into models before deployment. Shadow AI — employees using unsanctioned AI services with enterprise data — is nearly universal and almost entirely unmonitored.
Vyomerc's AI security programme begins with discovery: a full AI asset inventory identifying all models, agents, training pipelines, and AI-enabled applications across your enterprise. AI-SPM provides continuous posture monitoring. Adversarial ML simulation tests your models against prompt injection, model inversion, and data poisoning attack patterns. EU AI Act risk classification and NIST AI RMF alignment ensure that your governance posture keeps pace with your deployment ambition.
Vyomerc AI Security
Ungoverned AI Deployment
AI asset visibility
Full AI-SPM inventory of models, agents, training pipelines, and shadow AI usage across the enterprise
No systematic AI discovery; shadow AI usage invisible
Adversarial resilience
Quarterly adversarial simulation testing prompt injection, model inversion, and data poisoning attack patterns
No adversarial testing; model behaviour under attack unknown
Regulatory compliance
EU AI Act risk classification, NIST AI RMF alignment, and ISO/IEC 42001 governance programme
No AI-specific regulatory mapping; compliance obligations unaddressed
Agentic governance
Tool-call governance and LLM output monitoring prevent agent misuse and data exfiltration via AI pipelines
Agentic workflows operate without security controls or output monitoring
Operational Workflow
How the Engagement Executes.
[PHASE_01]
AI Asset Discovery & Classification
Enterprise-wide discovery of all AI models, LLM agents, training pipelines, AI-enabled applications, and shadow AI usage — with EU AI Act risk classification for each identified asset.
[PHASE_02]
AI-SPM Deployment
AI Security Posture Management deployment providing continuous monitoring of model integrity, training data pipeline security, API exposure, and configuration drift across all AI assets.
[PHASE_03]
Adversarial Simulation
Quarterly adversarial ML testing covering prompt injection, model inversion, membership inference, and data poisoning attack scenarios against your production models and agentic workflows.
[PHASE_04]
Governance & Compliance
NIST AI RMF programme delivery, EU AI Act compliance mapping, ISO/IEC 42001 AIMS implementation, and LLM guardrail enforcement for responsible AI deployment at enterprise scale.
[PHASE_01]
AI Asset Discovery & Classification
Enterprise-wide discovery of all AI models, LLM agents, training pipelines, AI-enabled applications, and shadow AI usage — with EU AI Act risk classification for each identified asset.
[PHASE_02]
AI-SPM Deployment
AI Security Posture Management deployment providing continuous monitoring of model integrity, training data pipeline security, API exposure, and configuration drift across all AI assets.
[PHASE_03]
Adversarial Simulation
Quarterly adversarial ML testing covering prompt injection, model inversion, membership inference, and data poisoning attack scenarios against your production models and agentic workflows.
[PHASE_04]
Governance & Compliance
NIST AI RMF programme delivery, EU AI Act compliance mapping, ISO/IEC 42001 AIMS implementation, and LLM guardrail enforcement for responsible AI deployment at enterprise scale.
Capability Matrix
Technical Specification & Deliverables.
AI Security Posture Management
Continuous AI-SPM across all enterprise AI assets — from production LLMs and training pipelines to shadow AI services — with real-time posture scoring and configuration drift alerting.
Adversarial ML Testing
Structured adversarial simulation covering the full OWASP LLM Top 10, testing prompt injection, indirect injection, model inversion, and training data poisoning attack patterns.
EU AI Act & NIST AI RMF
EU AI Act risk classification and prohibited practice assessment, NIST AI RMF programme delivery, and ISO/IEC 42001 AI Management System implementation for regulatory readiness.
AI Security Engagement
Govern your AI deployment before regulation or adversaries force it.
We conduct an AI asset discovery scan and EU AI Act risk classification assessment as a scoping exercise before designing a full AI security programme.
[AI_SECURITY // MODEL_DATA_RESTRICTED // NIST_AI_RMF_ALIGNED]