Unified Zero Trust CNAPP 
Secure APIs 
Secure Kubernetes 
SIEM 
Secure Secrets 
AI DR: AI Detect and Respond for Model Workloads
Catch exposed models, GPU abuse, and rogue resources across AWS, Azure, GCP. Auto-remediate before production.
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The Governance Gap in AI Operations
As organizations scale managed AI services like SageMaker or Azure OpenAI, multiple teams gain the ability to create and modify ephemeral, high-privileged assets. Traditional security tools fail to monitor AI-specific control-plane activity.
- Unmanaged Privileges
Notebooks and training jobs often launch with over-permissive IAM roles. - Unauthorized Deletions
Irreversible deletion of critical OpenAI resources or model checkpoints. - Compliance Blindspots
Lack of audit trails for fine-tuning jobs and data provenance.
How AI Detection and Response (AI-DR) Solves the Problem
AI-DR focuses on high-risk AI operations and automated remediation, without disrupting developer workflows.
- Real-time Monitoring
Continuous visibility of AI control-plane actions. - Governance Rules
Evaluates actions against security policies.
- Auto-Remediation
Automated fixes for risky configurations. - Full Audit Trails
Complete logging for compliance and review.
AI Detection and Response (AI-DR) Use Cases
Common detection scenarios mapped to specific AI risks in production cloud environments.
SageMaker Use CaseAWS SageMaker Notebook Created
Detects the creation of notebook instances with insecure configurations such as public internet access or disabled encryption.
Security Checks
Bedrock Use CaseAWS Bedrock Model Customization
Monitors model fine-tuning and customization actions for unauthorized jobs or unapproved datasets.
Security Checks
Azure ML Use CaseAzure ML Workspace Created
Tracks creation and modification of ML workspaces for network exposure and identity misconfigurations.
Security Checks
Azure OpenAI Use CaseAzure OpenAI Resource Deleted
Detects high-risk, irreversible deletion of Azure OpenAI resources which impact availability.
Security ChecksAI-DR - Real Time Threat Detection & Prevention Workflow
AI-DR - Auto-Remediation/ Notification Workflow
Event Collection
Aggregates logs from multi-cloud control planes into secure Object Storage for analysis.
Threat Detection
Real-time matching against compliance policies and security rules in our proprietary SIEM.
Incident Response
Automated dispatch of remediation workflows via GitHub Actions to close security gaps instantly.
Core Capabilities of AccuKnox’s AI-DR Solution
AI-DR is designed for modern AI environments with privileged, ephemeral, and automated assets.
Control-Plane Monitoring
Continuous visibility into AI/ML control-plane activity across SageMaker, Bedrock, Azure ML, and OpenAI.
Policy-Based Detection for AI
Evaluates every action against complex security policies and governance standards automatically.
Auto Red Teaming
Triggers instant alerts or auto-corrects risky configurations without disrupting developer speed.
Governance Audit Trails
End-to-end tracking for every AI operation, ensuring compliance with internal and external audits.
Your AI stack breaks in eight places.
Eight fronts covered. Zero blind spots.
- No inventory of models, agents, datasets, pipelines
- Shadow AI deploys where nobody is looking
- Open endpoints on Bedrock & Azure OpenAI
- Live inventory, agentless, one dashboard
- Shadow AI discovery for notebooks & MCP servers
- Auto-remediates exposures the instant they appear
- Overnight deploys with nobody watching
- Chained attacks look harmless step by step
- Scattered incidents across disconnected tools
- Continuous ingest of CloudTrail, Azure, GCP logs
- Full attack path rebuilt from weak signals
- Auto-routes to Jira, ServiceNow, Slack, PagerDuty
- Hijacked agents touch files & networks off-limits
- Tool abuse and rogue API calls
- Poisoned memory corrupts reasoning over time
- Runtime sandbox via eBPF & LSM, no code changes
- Least privilege tool access, blocked before it runs
- Catches poisoning before a decision changes
AI Model & Dataset Security
- Hidden malware in Pickle, HDF5, ONNX files
- Poisoned models from Hugging Face & GitHub
- Unscanned PII/PHI buried in training data
- Scans 5 formats for tampering & deserialization
- Blocks poisoned models before they deploy
- Maps findings to OWASP LLM Top 10 & MITRE ATLAS
- Yearly pen tests can't match weekly updates
- Generic tools miss jailbreaks & encoding tricks
- Silent regressions after every fine-tune
- 150+ probes fire on every model change
- Real attacker TTPs, mapped to OWASP & MITRE
- Custom probe packs for domain-specific risk
AI Identity Security
- Shared API keys across every agent
- No per-agent permissions or scoping
- Impersonation of trusted agents
- SPIFFE identity unique to every agent
- Per-agent permissions, enforced automatically
- Blocks spoofing with cryptographic attestation
- Slow jailbreaks spread across 5-15 messages
- Leaked secrets: PII, PHI, credentials in prompts
- Fragmented setup per channel
- Stateful engine tracks the whole conversation
- Real-time masking of PII, PHI & secrets
- One policy across gateway, SDK, browser, Copilot
- Weeks of mapping to OWASP, NIST, EU AI Act by hand
- Proof, not slides is what auditors want
- 12+ frameworks to satisfy at once
- Auto-tags findings to 12+ frameworks
- Per-query trail auditors can actually verify
- On-demand reports, SaaS or air-gapped
Secure data/AI pipelines end-to-end with dataset lineage, secrets scanning, and runtime guardrails for inference endpoints.
Why AI Detection and Response (AI-DR)?
End-to-end AI Control Plane Monitoring, Remediation and Alerting with AccuKnox CNAPP
| Capability |  | Other AI Security Platforms |
|---|---|---|
| AI Control-Plane Monitoring |  |  |
| Managed Service Integration (SageMaker/Bedrock) | | |
| Automated Policy-Based Remediation | | Partial |
| On-Prem LLM Engines (vLLMs, Ollama) | | |
| AI Metadata Awareness (Model IDs/Datasets) | | |
| Multi-Cloud Governance (AWS/Azure/GCP) | | |
| Low Developer Workflow Disruption | | Low |
Continuous Visibility
Stop flying blind into your AI services. Gain 24/7 monitoring.
Remediation At Scale
Automate your response workflows using serverless and GitHub actions.
Compliance Ready
Satisfy auditors with immutable logs of every AI configuration change.