AI Security Posture Management for LLMs & Agents

Discover every model, agent, and pipeline. Close gaps across 43 compliances. Auto-generate your AI Bill of Materials.

Schedule a Demo
AI Security Hero

Your AI stack breaks in eight places.

Eight fronts covered. Zero blind spots.

prompt firewall-platfrom-card
  • 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
posture-management-logos
aidr-platfrom-card
  • 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
detect-and-respond-logos
agentic ai security-platfrom-card
  • 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
agentic-security-logos
AI-model-data-security-platform-card
AI Model & Dataset Security

AI Model & Dataset Security

blue-arrow-right
  • 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
model-and-dataset-logos
ai red teaming-platfrom-card
  • 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
red-teaming-logos
AI-identity-security-platform-card
AI Identity Security

AI Identity Security

blue-arrow-right
  • 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
identity-security-logos
prompt firewall-platfrom-card
  • 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
prompt-firewall-logos
  • 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
compliance-and-grc-logos

8 Modules, Tightly Integrated, Loosely Coupled

High-level-architecture

Al Security Platform

Secure Every Al Asset. Protect Every Layer. Click To View

  • Security Posture Management

  • Model & Dataset Security

  • Agentic AI Security

  • Detect & Respond

  • Governance, Risk & Compliance

  • Guardrails & Prompt Firewall

  • Identity Security

  • Red Teaming & Pen Testing

AI Assets

AI Assets

Agents

Agents

Models

Models

Knowledge Base

Knowledge Base

Tools

Tools

Substrate

Substrate

Infra

Infra

Application

Application

Data

Data

Network

Network

Deployments

Deployments

Public Cloud

Public Cloud

Private Cloud

Private Cloud
Air-Gapped

Air-Gapped

Edge/IoT

Edge/IoT

AI Security Posture Management (AI SPM)

  • Builds a live, agentless inventory of every model, agent, dataset, and pipeline, spanning cloud and on-prem, in one dashboard.
  • Shadow AI discovery catches unapproved notebooks, rogue models, and MCP servers automatically.
  • Generates an AI Bill of Materials per model and agent, with EU AI Act risk tiering built in.
  • Auto-remediates exposed endpoints the instant they're found, no ticket required.

AI Model, Dataset Security

  • Scans all 5 major model formats for supply-chain tampering and deserialization attacks.
  • Flags integrity violations in public Hugging Face or GitHub models before deployment.
  • Scans training datasets for PII/PHI before it becomes a compliance incident.
  • Re-scans automatically on every fine-tune, tagged to OWASP LLM Top 10 and MITRE ATLAS.

Agentic AI Security

  • Sandboxes every agent at runtime with eBPF and LSM enforcement, no code changes needed.
  • Enforces least-privilege tool access and blocks unauthorized calls before they execute.
  • Detects memory poisoning and cascading hallucination before they corrupt a decision.
  • Real-time, multi-cloud visibility into every agent running across AWS, Azure, GCP, and on-prem.
Agentic AI Security

AI Detect and Respond (AI DR)

  • Continuously ingests AWS, Azure, and GCP logs, catching unapproved deployments the moment they happen.
  • Correlates signals across layers to reconstruct full, multi-step attack chains.
  • Makes exposed model endpoints private automatically, no manual fix needed.
  • Routes every incident straight into Jira, ServiceNow, Slack, or PagerDuty with full forensic context.

AI Compliance and Governance (AI GRC)

  • Auto-tags every finding to OWASP, MITRE ATLAS, NIST AI RMF, and the EU AI Act.
  • Classifies EU AI Act risk tier the moment a model is discovered.
  • Generates audit-ready reports on demand, no more weeks of manual evidence-gathering.
  • Proves governance across 12+ frameworks from a single dashboard, SaaS or air-gapped.

AI Guardrails, Stateful Prompt Firewall

  • Stateful engine tracks entire conversations, catching jailbreaks that unfold over 5-15 messages.
  • Masks PII, PHI, and credit card numbers in real time, before they reach the model.
  • Detects and blocks leaked API keys, passwords, and credentials instantly.
  • One policy enforced everywhere: API gateway, SDK, browser plugin, and Copilot Studio.

AI Identity Security

  • Gives every agent its own verifiable, cryptographic identity via SPIFFE, no shared keys.
  • Enforces fine-grained, per-agent permissions automatically.
  • Tracks the full upstream caller chain before granting access.
  • Blocks impersonation with cryptographic attestation, identity that can't be faked.

AI Red Teaming, Pen Testing

  • Runs 150+ adversarial probes automatically, triggered on every model change.
  • Tests with real attacker techniques: jailbreaks, encoding attacks, prompt injection.
  • Hallucination detection catches fabricated packages or false facts before users see them.
  • Custom, domain-specific probe packs for finance, healthcare, and beyond.

AI Security Platform Tour
(Models, Agents, MCPs, SDKs)

  • Inventory View
  • AI Model View
  • Managed Agents View
  • Shadow AI Discovery
  • Prompt Firewall Dashboard
  • Runtime Defense
  • Runtime Agent Sandboxing
  • AI Compliance

Asset sprawl across cloud, network, and API layers means no single source of truth for what is exposed and how it is configured.

AI Models, Datasets, Compute Resources, Bedrock, SageMaker, Vertex AI, Azure AI, and cloud AI services.

AI Asset Inventory, AI Security Posture Management (AI-SPM), risk visibility, ownership tracking, and exposure management.

Inventory View

Per-model risk view from automated red team scans, with findings broken down across four attack categories: code, hallucination, prompt injection, and sentiment analysis. Each category lists severity counts and specific test cases.

Prompt Injection, Hallucination Detection, Jailbreak Testing, Unsafe Code Generation, and adversarial robustness validation.

OWASP Top 10 for LLMs, MITRE ATLAS, Model Security Scoring, and risk-based remediation.

AI Model View

Managed agent inventory filtered by cloud provider, with a detail pane for agent metadata, memory configuration, deployment timeline, and risk finding counts by severity.

Amazon Bedrock Agents, Azure AI Agents, Copilots, Custom Agent Frameworks, and enterprise agent deployments.

Agent Memory, Tool Usage, Knowledge Bases, Deployment Lifecycle Monitoring, and runtime risk insights.

Managed Agents View

Shadow AI discovery lists unmanaged assets by category: AI agents, AI gateways, AI inference engines, AI-ML libraries, AI SDKs, and MCP servers. Each category shows asset count and associated findings.

MCP Servers, AI SDKs, AI Gateways, Inference Engines, AI/ML Libraries, and unknown AI assets.

Software Provenance, License Tracking, Security Findings, Asset Ownership, and dependency visibility.

Unmanaged Assets Discovery

Prompt the firewall dashboard with top policy violations by policy name and by application, failure counts by severity, and a full application inventory with violation trends and owner attribution.

Prompt Injection, Secrets Exposure, PII Leakage, Toxicity Violations, and unsafe prompt activity.

Prompt Firewall, AI Gateway Enforcement, Response Filtering, Policy Analytics, and usage monitoring.

Prompt Firewall Dashboard

Prompt policy library with 10 policy types: anonymisation, gibberish detection, prompt injection, toxicity, competitor mentions, topic bans, code filtering, language enforcement, regex sanitisation, secrets detection, and token limits.

Anonymization, Secrets Detection, Toxicity Controls, Code Restrictions, Token Limits, and language enforcement.

Runtime Enforcement, Responsible AI Controls, Content Governance, Risk Reduction, and policy compliance.

Runtime Defense

KubeArmor runtime sandboxing for AI agents with auto-discovered and custom policies. Each policy enforces process, filesystem, credential, and network isolation at the K8s workload level via zero-trust YAML.

Process Isolation, Filesystem Protection, Network Segmentation, Credential Security, and execution control.

AI Agents, MCP Servers, Inference Engines, Kubernetes Agentic AI Environments, and autonomous workflows.

Runtime Agent Sandboxing

Compliance framework selector with 12 active standards: OWASP Top 10 for LLMs, MITRE ATLAS, NIST 800-171, HIPAA, ISO 27001, SOC 2, PCI, RBI CSF, HITRUST CSF, GDPR, ISO 27017, and NIST SP 800-53.

OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO 27001, SOC 2, GDPR, and HIPAA.

AI Models, Agents, Datasets, Prompts, Infrastructure, Audit Readiness, and control validation.

AI Compliance

Book a Demo

AI-Security-form
  • Flexible AI Deployments
  • Support Matrix
  • Security Across Layers
AI-SPM security posture
grc-diagram-ai-sec
monitor-and-protect-ai

How AccuKnox Connects to Your AI Assets – Agentless by Default

AI-Governance

AI-SPM – SaaS & On-Prem Deployment

Same powerful protection. Choose the deployment that fits your infrastructure, data-residency, and compliance needs.

saas-onprem

AI Agent Security Across Multi-Cloud Platforms

Real-time visibility, sandboxing, and auditing for AI agents across Azure AI Foundry, Copilot Studio, and AWS Bedrock.

Multi-Cloud Agent Visibility

Multi-Cloud Agent Visibility & Auditing

Continuous discovery, behavioral auditing, and risk monitoring of AI agents across cloud environments.

Sandbox Unsafe Tool Usage

Sandbox Unsafe Tool Usage

Prevents agents from executing risky external tools, APIs, and actions in runtime workflows.

Sandbox Auto-Generated Code

Sandbox Auto-Generated Code

Isolates LLM-generated scripts and code execution to prevent malicious runtime behavior.

Multi-Platform Support

Multi-Platform Support

Industry-first agent discovery and governance across major cloud platforms.

AI Model Cards for Continuous Governance

Transform your model documentation from static reports into a real-time security and risk dashboard.

  • Continuous Security & Supply Chain
    Get a live Software Bill of Materials (SBOM), real-time vulnerability scanning, and ongoing license compliance checks for all model components.
  • Automated Validation & Risk Scoring
    Use sandbox-driven assessments for automated red teaming, evaluating safety, bias, toxicity, jailbreak resilience, and assigning a dynamically changing risk score.
  • Runtime Observability & Fencing
    Establish behavior baselines and monitor operational activity to detect policy violations and ensure real-time data isolation and fencing of model data stores.
ai-model

On-Demand Reports for AI Security

AISPM Reports

AI Security Key Differentiators

tick

Runtime prompt firewall with LLM-as-judge sanitization and blocking

tick

Automated AI red teaming for injections, hallucinations, toxicity, bias

tick

Multi-layer AI security across models, agents, datasets, and pipelines

tick

AI asset inventory with agent, model, and pipeline lineage mapping

tick

AI detection and response for model misuse and infra misconfigurations

LLM Security eBook

Detect and block AI-specific threats via model red-teaming, prompt filtering, dataset integrity checks, and secure ML supply-chain controls.

Get AI Security eBook

AI Security Competitive Stack Ranking

ai security stack ranking

AI Security for AI/LLM Workload Security FAQs

AccuKnox's ModelKnox provides real-time runtime visibility and threat detection designed specifically for AI workload behaviors. It identifies inference manipulation, model extraction, and resource abuse in milliseconds, then triggers automated remediation that reduces response times by 95%.
Yes. AccuKnox correlates signals across prompt inputs, model behavior, API calls, and runtime anomalies to reconstruct multi-stage attack paths. Cross-layer visibility from AI-SPM, runtime monitoring, and API security lets teams detect chained attacks before they escalate.
AccuKnox provides runtime observability with process-level visibility, generating execution lineage across containers, agents, and AI pipelines. It maps relationships between prompt, model, tool or API calls, and system actions, enabling full audit trails and behavior timelines.
AccuKnox's CDR capabilities automate remediation for AI security incidents, cutting response times by 95% through intelligent automation built specifically for AI workloads. Incident response triggers without manual intervention, containing threats before they cause downstream damage.
AccuKnox ModelKnox delivers real-time threat detection tuned for AI workload attack patterns including prompt injection, output manipulation, and model extraction. Traditional security tools lack the inference-layer visibility required at millisecond response windows.
AccuKnox uses behavioral monitoring and runtime threat detection to identify novel attack patterns against AI workloads before they cause damage. Because it analyzes behavior rather than signatures, it catches unknown threats that exploit hidden weaknesses in models or training data.
AccuKnox offers AI-SBOM and AIBOM-based visibility into models, libraries, and dependencies. It continuously scans for vulnerabilities and malicious packages, detects anomalous behavior from compromised dependencies, and enforces trusted registries and signed artifacts across LLM frameworks like LangChain.
AccuKnox secures data pipelines from ingestion through training, with visibility and controls across datasets, training processes, and model outputs. It detects training data poisoning and dataset manipulation that remain undetected throughout conventional development lifecycles.
ModelArmor provides runtime sandboxing and isolation for AI workloads using eBPF technology. It protects production LLM environments from model extraction, inference manipulation, and resource abuse with kernel-level enforcement that adds no agent overhead to inference pipelines.
AccuKnox secures the complete AI lifecycle from data ingestion through deployment, applying phase-appropriate controls. Training gets data poisoning detection and pipeline governance. Inference gets prompt firewall, output monitoring, and behavioral anomaly detection.
AccuKnox integrates with KubeArmor to provide comprehensive policy enforcement across Kubernetes clusters with AI-specific runtime controls. It handles both container orchestration security and AI workload-specific requirements within a unified policy framework.
AccuKnox provides consistent LLM protection across AWS, Azure, GCP, and hybrid environments with unified policy enforcement and compliance monitoring. Security posture remains uniform regardless of where models are deployed, eliminating gaps that emerge from per-cloud tooling.
AskADA AI co-pilot integrates threat intelligence feeds with real-time analysis, delivering contextual security insights for AI-specific threats and vulnerabilities. It surfaces relevant intelligence without requiring security teams to manually correlate across feeds.
AccuKnox's AI-powered correlation reduces false positives by 95% through intelligent analysis tuned specifically for AI and LLM workload patterns. It distinguishes legitimate AI operations from genuine threats rather than generating noise that overwhelms security teams.
ModelKnox delivers unified dashboards providing visibility, risk management, and compliance tracking across all AI assets. Security teams get a single pane covering posture, vulnerabilities, policy violations, and compliance status rather than stitching together fragmented tools.
AskADA provides contextual security insights and automates compliance checks against NIST AI RMF, EU AI Act, OWASP, AVID, and MITRE simultaneously. It surfaces regulatory gaps and generates unified reporting so teams spend less time on manual audit preparation.
AccuKnox provides specialized whitepapers, AI governance checklists, threat analysis reports, and implementation guides addressing unique AI and LLM threats. Resources cover AI-SPM tooling, governance frameworks, and secure AI workload deployment for practitioners who need more than generic documentation.
AccuKnox discovers the full inventory of internally developed agents, models, and pipelines across environments. It maps agent capabilities, data access, and tool integrations, then applies policy-as-code governance across the build, deploy, and runtime lifecycle with continuous behavioral monitoring.
AccuKnox enforces prompt firewall rules across 12+ categories globally across all models and agents, with customization for business-specific guardrails. Policy engines validate actions before execution at the prompt, model, API, and runtime layers with continuous red teaming for evolving behaviors.
AccuKnox uses a sandboxing approach to understand agent application behavior at runtime. It analyzes behavioral patterns to infer intent, evaluates effective versus required permissions to identify overreach, and enforces least privilege with just-in-time access controls for NHIs.
AccuKnox detects PII, API keys, credentials, and other sensitive data in both prompts and model responses using pattern matching combined with contextual classification. It supports configurable actions including monitor, alert, or block, covering data in transit and generated outputs.
AccuKnox tackles adversarial attacks through AI-SPM with runtime monitoring and behavioral analysis designed specifically for LLM threat patterns. Automated red teaming runs continuous adversarial simulations to test model defenses and adapt security postures in real time.
AccuKnox features a Prompt Firewall for LLMs that guards against injection attacks and enforces safe, auditable prompt interactions. It applies configurable policies across all connected models and agents, blocking injection attempts before they reach model inference.
AccuKnox integrates with GitHub Actions and other CI/CD pipeline tools, enabling security scanning throughout AI development lifecycles. DevSecOps teams get LLM security embedded into existing workflows without disrupting model deployment velocity.
AccuKnox recommends assessing vendor data handling practices, model behavior, and access controls, requiring transparency through AIBOM, audit logs, and compliance mappings against EU AI Act and ISO 42001. Continuous runtime monitoring of third-party access post-deployment is essential.
AccuKnox performs continuous AI asset discovery across endpoints, browsers, SaaS, and cloud environments. It detects shadow AI usage by analyzing outbound traffic, API calls, and browser interactions, correlating usage with user identity and data access patterns to assess risk.
AccuKnox identifies embedded AI capabilities within SaaS platforms including copilots, plugins, and third-party integrations. It analyzes application behavior, API calls, and data flows to uncover hidden AI usage, then flags unauthorized integrations based on governance policies.
AccuKnox provides ModelArmor as an open-source solution that securely isolates AI and ML workloads with sandboxing built on KubeArmor technology. Organizations avoid vendor lock-in while leveraging community-driven AI security innovations customizable for specific deployment needs.
AccuKnox's agentless AI-SPM provides comprehensive risk assessment through API integrations without installing software on AI infrastructure. It maintains inference performance while ensuring security posture visibility, eliminating the attack surface and overhead that agent-based approaches introduce.
AccuKnox's Zero Trust AI Security framework ensures continuous verification and policy enforcement across the entire AI lifecycle within its integrated CNAPP architecture. Every agent, model, and API interaction is verified rather than assumed trusted, regardless of where it runs.

Ready For A Personalized Security Assessment?

“Choosing AccuKnox was driven by opensource KubeArmor’s novel use of eBPF and LSM technologies, delivering runtime security”

idt

Golan Ben-Oni

Chief Information Officer

“At Prudent, we advocate for a comprehensive end-to-end methodology in application and cloud security. AccuKnox excelled in all areas in our in depth evaluation.”

prudent

Manoj Kern

CIO

“Tible is committed to delivering comprehensive security, compliance, and governance for all of its stakeholders.”

tible

Merijn Boom

Managing Director

Featured Customers

aliceblue us-dod purestorage idt sonesta nask prudent

Awards & Recognitions

top10 nasscom purestorage neapp silicon india tie cybertech 5g-lab bsides

Investors

sri mdsv capital nationalgrid avanta ventures dreamit 5g-open-innovation-lab dolby family z5-capital outliers

About Us

AccuKnox delivers a Zero Trust Security platform for AI, API, Application, Cloud, and Supply Chain Security. Incubated out of R&D innovator, SRI International (Stanford Research Institute), AccuKnox holds seminal Zero Trust security patents and is backed by top-tier investors including National Grid Partners, Dolby Family Ventures, Dreamit Ventures, Avanta Ventures, and the 5G Open Innovation Lab.

×