The only security platform where your defenses get measurably better after every incident. eBPF behavioral AI kills supply-chain attacks in <10ms — before exfiltration starts.
Detected event-stream 88 days before CVE. XZ Utils 2 years before disclosure.
Signatures fail zero-days. SIEMs are too slow. Humans can't scale. The attack surface grew — the defense architecture didn't.
If your SOC needs 5 dashboards and 3 shifts to notice a breach, the attacker is already in. Noise is not a defense strategy.
OperationsHuman-in-the-loop is great for audits. It's catastrophic for zero-day response. You need a system that acts before a human blinks.
SpeedPassing SOC2 does not stop ransomware. Runtime vetoes do. Checking boxes and stopping attacks are completely different problems.
RealityYour Claude, GPT-4, and LangChain agents have shell access, file access, and credential access. Nobody is watching what they actually do. Prompt analysis misses the attack. Runtime behavior doesn't.
AI RiskFrom raw syscall to autonomous containment in <200ms — then convert the detection into an artifact that makes the next one 15% more confident. This is the loop no competitor has.
# 2026-05-20T14:32:01.021Z event=threat_detected node=prod-cluster-us-west-2 signal: MaliciousNpmPackage package: lodash-hijacked@4.17.22 publisher: npm:a1b3f9c2 (account_age=2d, no_prior_releases) behavior: dns_beacon + credential_read + outbound_tcp confidence: 0.94 blast_radius: ~50,000 downloads projected in 4h ───────────────────────────────────────────────────────────── action: QUARANTINE_PACKAGE action: REVOKE_CREDENTIALS action: ALERT_SECURITY_TEAM elapsed: 187ms status: CONTAINED_BEFORE_EXECUTION ───────────────────────────────────────────────────────────── # IntelligenceArtifact created. TTP chain fingerprinted. # Next similar attack: confidence boost +15% automatically. # IRR climbing. 0 victims. 0 breaches. Intelligence compounds.
Not a scanner. Not a SIEM. An autonomous runtime defense mesh — from the kernel to the cloud, from CI/CD pipelines to AI agents.
Every confirmed prevention creates an IntelligenceArtifact. The next similar attack gets a +15% confidence boost automatically. Intelligence Reuse Rate (IRR) is tracked in Prometheus from day one — and it climbs.
sha256(sorted TTP chain) + 128-dim L2-normalized behavior vector. One package. No duplicated logic. No migration pain when new consumers are added.
# Same inputs → identical output. No LLM required. Measured: 6ms avg. input_hash: a3f7c2b1e9d4... # determinism proof generation_method: deterministic ───────────────────────────────────────────────────── summary: "Supply chain attack (T1195.002) targeting AWS credentials. quarantine_package executed." ───────────────────────────────────────────────────── mitre_mapping: T1195.002 Initial Access / Supply Chain confidence=0.94 T1552 Credential Access confidence=0.89 root_cause: Malicious package: lodash-hijacked:4.17.22 blast_radius: HIGH — credential exfiltration, 50k transitive dependents compliance: SOC2: CC6.1, CC6.2 · ISO27001: A.9.4.1, A.12.2.1 actions: quarantine_package [EXECUTED] · revoke_credentials [EXECUTED] ───────────────────────────────────────────────────── fingerprint: sha256(T1195.002|T1552) = 7c3f8a... behavior_vector: [128-dim] → artifact match in next similar attack: +15% confidence # IRR: this detection will boost the next one. Every attack compounds.
Phantom monitors every npm and PyPI publish in real time. Behavioral signals at publish time — not after the CVE drops, not after the breach. At publish.
# event-stream (2018) — 8M weekly downloads, BitPay credential theft # Phantom detection lead: 88 days before public disclosure Day -89: NEW_MAINTAINER dominictarr → right9ctrl (transfer) Day -88: STAGING_DETECTED flatmap-stream@0.1.1 — no git history Day -88: OBFUSCATION_DETECTED AES-256-CBC encrypted payload Day -88: TEMPORAL_ACCELERATION 3 correlated signals in 2 days ────────────────────────────────────────────────────────── risk_score: 0.89 / 1.000 confidence: HIGH action: DISCLOSURE_WORKFLOW_UNLOCKED ────────────────────────────────────────────────────────── # XZ Utils backdoor (2024) — 2-year social engineering campaign # Phantom detection lead: 2 years before Andres Freund's disclosure Month -24: NEW_MAINTAINER Jia Tan gains commit access Month -6: COMMIT_ANOMALY off-hours, no review, pressure on maintainer Month -1: BUILD_MODIFIED binary injection in build script # Reproduce any timeline yourself: $ python3 main.py replay event-stream $ python3 main.py replay xz-utils $ python3 main.py replay ua-parser-js
SIEMs aggregate logs. EDRs watch endpoints. VetoKernel watches runtime behavior — and gets smarter from every attack it stops.
| Capability | VetoKernel | Legacy Stack |
|---|---|---|
| Pre-breach attack prediction | ✓ | ✗ |
| Behavioral AI — zero-day safe | ✓ | ✗ |
| Supply chain sandbox (npm / PyPI) | ✓ | Partial |
| AI Agent & MCP security | ✓ | ✗ |
| eBPF kernel-level telemetry | ✓ | Partial |
| Autonomous response (<10ms kill / <200ms chain) | ✓ | ✗ |
| Global federated attack memory | ✓ | ✗ |
| Internet-scale weak signal detection | ✓ | ✗ |
| DNS-based C2 detection (AF_PACKET capture) | ✓ | ✗ |
| Cross-platform supply-chain gate (CI/CD, any OS) | ✓ | ✗ |
| Runtime Graph (9 node types, 7 edge types, durable) | ✓ | ✗ |
| Deterministic incident explanation (VetoExplain) | ✓ | ✗ |
| AI Agent behavior profiling + drift detection | ✓ | ✗ |
| Intelligence compounding (IRR metric live in Prometheus) | ✓ | ✗ |
| Behavioral Fingerprint Service (128-dim vector, single producer) | ✓ | ✗ |
Deploy in minutes with Docker Compose. Built for production security teams — contact us to start a pilot.
Every autonomous action is hash-chained and immutably logged before execution. VetoExplain auto-generates SOC2, ISO27001, HIPAA, and PCI-DSS control mappings for every incident. Compliance evidence exports in CEF + JSON — ready for your auditor.
VetoKernel generates audit evidence, control mappings, and CEF exports aligned to these frameworks. Formal certification pending.
REST API, webhooks, SIEM connectors, Slack alerts, Jira tickets. Wire it in once and never think about it again.
From CISO to DevOps, VetoKernel speaks your language and solves your actual problem.
Start an enterprise pilot — we'll be on a call with you within 24 hours.
No signatures · No CVE waiting · Behavioral · Works on day-zero