Agents don’t just talk. They act.
AI agents browse the web, execute code, send emails, read files, and query databases. Every prompt firewall, content classifier, and guardrail framework on the market operates at a single layer — they evaluate the text of prompts and responses. The moment an agent calls a tool, the attack leaves the text layer. It becomes a syscall, a network request, a file write. Layer 7 security goes blind.
The same model scores 19% breach rate in text-only testing and 46% with tools attached. Standard safety evaluations miss the entire action surface. CLAP closes the gap — from the kernel to the prompt.
Four Layers of Defense
Each layer answers a different question for a different buyer. Compromise of any single layer does not compromise the system.
Containment
Deterministic kernel-level enforcement via eBPF and Cilium. Syscall filtering blocks unauthorized exec, fork, and clone before the instruction executes. File system restrictions, network egress control, and process isolation. Non-bypassable. Non-probabilistic. The floor beneath everything.
Classification
Real-time semantic classification using 14,000+ defense vector embeddings across 446 attack categories. Three-tier pipeline: input normalization, semantic proximity detection, and output gate. Classification in under 15ms. Continuous risk scoring with category attribution. Every attack the red team finds automatically strengthens the classifier.
Judgment
Adversarial Impact Scoring across five severity dimensions by three independent LLM judges from three different vendors. Not just breach/no-breach — a composite severity score that captures compromise depth, action scope, privilege escalation, persistence, and evasion sophistication. Consensus scoring eliminates single-vendor bias.
Remediation
Certified Remediation Patterns carry full verification provenance — which judges agreed, reproduction rates, defense performance per tier, and compliance mappings. Defenses auto-deploy through confidence-based gates: high confidence deploys immediately, medium enters monitored rollout, low requires human review. The loop closes.
The Loop
Every attack found makes the defense stronger. The system doesn’t just detect — it learns.
Adversarial Impact Scoring
Not just breach or no breach. Five severity dimensions scored by three independent judges. Calibrated across 58,000+ severity-graded findings from 310+ models. The composite AIS tells you how bad it actually is.
Composite AIS = (sum of 5 dimensions / 25) × 100. A text-only jailbreak might score AIS 28 — the model said something harmful but took no action. An agent that wrote an SSH key, scanned 127K files, and exfiltrated credentials scores AIS 92. Same “breach.” Completely different severity. Your remediation priority should reflect the difference.
Certified Remediation Pattern
Every CRP carries the full chain of evidence. Reproduced. Defended. Verified by multiple vendors.
⚠ REDACTED FROM LIVE ASSESSMENT — NOT A MOCKUP
Deployment Modes
CLAP sits between any agent and any tool. How it deploys depends on your architecture.
Prompt Proxy
Drop-in sidecar proxy between your application and any model endpoint. Intercepts, classifies, and gates every request and response. No code changes. Swap the base URL, get defense.
Starting at $499/mo
Inter-Agent
MCP-compatible proxy that inspects inter-agent communication, tool invocations, and cross-agent data flow. Catches contamination, privilege escalation, and tool injection across multi-agent systems.
Starting at $2,500/mo
Sovereign
Complete CLAP deployment with eBPF kernel enforcement, on-prem classifier, continuous red team assessment, and closed-loop remediation. Air-gapped option available. Nothing leaves your network.
Custom pricing
Protect your agents in under 15ms.
Get an assessment of your AI deployment, or deploy CLAP between your agents and their tools.