Honest comparison

H7 vs Falco vs commercial eBPF EDR

H7 is not an EDR replacement. It is a behavioral attestation engine — designed specifically for autonomous AI agents in regulated environments. The table below is grounded in what each tool actually does at the implementation level.

Capability	H7	Falco	eBPF EDR
Kernel-level eBPF observation
AI agent-specific detection Scheduled to baseline agent namespaces, not generic workloads
Behavioral sequence analysis Causal graph + scheduling entropy, not individual syscall matching
Signed forensic certificate (.cal) Ed25519-signed, offline-verifiable, tamper-evident
Offline verification (air-gap ready) No network, no CA, no SaaS required
DORA Art. 17 incident evidence Artifact maps field-by-field to Art. 17 requirements
NIS2 Art. 21 supply-chain evidence
EU AI Act Art. 9 runtime audit trail
Zero runtime network calls All data stays on host after license validation
Auto-isolation / auto-containment H7 is honest: detection, attestation, alert — containment is operator-initiated
Prompt / LLM content inspection H7 observes kernel behavior, not application-layer content
Windows support
Open-source
Rust no_std eBPF probe (< 0.4% CPU)

Yes

Partial / depends on config

Notes on the comparison

Falco

Falco is an excellent open-source runtime security tool for generic Linux workloads. It matches against a ruleset of individual syscall patterns. It does not build behavioral baselines, does not produce cryptographically signed forensic artifacts, and has no concept of AI agent namespaces. Its alert output is not structured as regulatory evidence.

Commercial eBPF EDR

Commercial eBPF-based EDR tools (e.g. Tetragon, Aqua Runtime, Sysdig Secure) provide broad workload security with auto-remediation. They are built for cloud-native generic workloads and SOC workflows. They do not produce offline-verifiable cryptographic attestation artifacts, and their evidence format is not structured to satisfy DORA Art. 17 field-by-field requirements for AI agent incidents.

Auto-isolation

H7 deliberately does not auto-isolate agents. Automated kill switches in production AI systems introduce their own risk surface. DORA requires documented human decision-making in incident response. H7 emits a signed alert and certificate — the operator initiates containment.

See it for yourself

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