AI Guardrails & Prompt Firewall for LLM Traffic
Inspect every prompt and response. Block injection, jailbreaks, data leaks at inference time.
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How The Prompt Firewall Works
A transparent proxy that inspects every prompt and response against your configured policies before allowing them through.
Traffic Controller
The transparent proxy entry point. Users never talk directly to the LLM — all traffic routes through AccuKnox first.
User prompt → scan against policies
LLM response → validate before delivery
Block · Sanitize · Monitor
Policy Governance
Evaluates every prompt and response against your configured policies. Customizable per application.
14 built-in policy types
Custom regex + domain-specific rules
Global or per-app policy scope
Audit & Compliance
Every request and response is recorded for compliance, investigation, and forensic analysis.
Full conversation history
Per-policy risk scores
Block/monitor/pass status + threshold
See The Firewall In Action
From policy configuration to violation forensics — everything in one dashboard.
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AI-Security Dashboard
Query volumes, violations, and active policies at a glance.
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Policy Configuration
Add and customize local policies per application.
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Applied Policies
View all active policies enforcing on an application.
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Violation Analysis
Breakdown by policy type with severity and action taken.
One Firewall, Four Ways to Deploy (Browser · Gateway/Proxy · SDK · Cloud API Gateway)

AccuKnox Stateful Prompt Firewall and Why Per Prompt Inspection Fails Against Multi Turn Attacks
Multi turn attacks reach 96.2% success against frontier AI models. A firewall that scores messages in isolation never sees the session. Here is what stateful inspection changes.
Read BlogIntegrate In Minutes
Wrap your existing LLM calls with prompt and response scanning. One import, two function calls.
- pip install accuknox-llm-defense
- Session linking for full audit trails
- BLOCK, MONITOR, PASS, or SANITIZE responses
- Per-policy risk scores for debugging
Every Model. Every Platform.
Cloud, managed, or self-hosted — the Prompt Firewall works with your stack.
CLOUD LLM PROVIDERS

MANAGED AI SERVICES

ON-PREMISE MODELS

ENTERPRISE

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
Set Up In Five Steps
From onboarding your application to monitoring violations in real time.
Add Your Application
Navigate to AI/ML → Applications → Add Application. Name and tag your AI app.
Configure Policies
Apply global policies for org-wide rules or local policies per application. Choose Block, Monitor, or Allow.
Set Policy Scope
Global policies apply to all apps. Local policies let you customize — ban code in support bots but allow it in dev assistants.
Monitor the Dashboard
Real-time visibility into total queries, policy violations, and active enforcement.
Investigate & Audit
Click any violation for full conversation history, per-policy risk scores, and block/monitor status.
Prompt Firewall + Red Teaming
Red teaming finds the gaps. The Prompt Firewall enforces the rules to close them. Both work together.
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Get a LIVE Tour
Ready For A Personalized Security Assessment?
“Choosing AccuKnox was driven by opensource KubeArmor’s novel use of eBPF and LSM technologies, delivering runtime security”

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.”

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

Merijn Boom
Managing Director

