The Sub-Millisecond AI Trajectory Observability, Threat Interception & Cryptographic Compliance Daemon.
Observes autonomous AI agent reasoning loops inline, intercepts prompt injections and credential leaks in real time (1.44 μs), and issues tamper-evident SHA-256 cryptographic attestation proofs for enterprise CISO governance.
Traditional APMs check server status codes (HTTP 200 OK) but have zero visibility inside multi-turn LLM reasoning flows. Prompt injections, unmasked API key leaks, and runaway billing loops happen completely undetected inside agent thought streams.
Agents leak raw OpenAI (sk-proj-*), GitHub PATs (ghp_*), and AWS keys in thought logs and external webhooks.
Redundant tool recursion traps execute identical queries 8× back-to-back, causing $10,000/hr billing spikes.
Adversarial prompt overrides ("you are now DAN") hijack tool parameters to execute unauthorized database drops.
Operating as a native Go daemon, Bartholomew inspects every trajectory step in 1.44 µs before packets reach the LLM model or external APIs.
Zero-inference regex engine executing 11,647,002 audits/sec with sub-microsecond latency.
Scrubs secret keys (`sk-proj`, `ghp`, `AKIA`) and PII in real time without stopping execution.
Enforces all 10 OWASP LLM risk categories with a 4-tier escalation model (Scrub → Log → Sandbox → Circuit Break).
Generates chained cryptographic proofs verifiable with standard `sha256sum` for SOC2 & HIPAA audits.
Fuzzes agent code with 95 OWASP attack vectors across 7 vulnerability classes before deployment.
Monitors tool call sequences (e.g. read_file → query_db → write_file) to catch multi-step parameter manipulation.
Wraps agent runtimes via @guard() decorator or HTTP reverse proxy in 3 lines of code.
Zero external API calls. Single Go binary deployment for sovereign SCIF / NSA IL5 defense enclaves.
Streams JSON alerts to Splunk, Elastic, Datadog HEC, and PagerDuty with SHA-256 proof headers.
Legacy firewalls rely on pre-existing CVE signatures failing on novel AI attacks. Bartholomew provides real-time Autonomous Zero-Day Containment: analyzing agent thought streams and tool parameters in 1.44 µs to isolate novel, unmapped prompt attacks before public signatures exist.
Evaluates thought log character distribution & Shannon entropy in 1.44 μs, detecting obfuscated zero-day prompt injections instantly without prior rules.
Restricts suspicious or unverified tool parameters (e.g. db_drop, file_write) into zero-trust read-only memory sandboxes with zero write permissions.
Synthesizes new OWASP containment rules automatically upon detecting novel trajectory anomalies, hardening nodes instantly without manual rule drafting.
| Metric & Capability | Datadog APM | LangSmith Evals | Lakera Guard | Bartholomew Go Daemon |
|---|---|---|---|---|
| Inspection Scope | HTTP Status & CPU Metrics | Post-Hoc Offline Traces | API Wrapper | Inline Thought & Tool Trajectories |
| Inspection Latency | 32.5 ms (+22,500×) | 45.1 ms (+31,300×) | 58.2 ms (+40,400×) | 1.44 μs (Go Core) |
| Enforcement Action | Passive Alerts | Dashboard Traces | Blocking API | Active Inline Kill-Switch |
| Compliance Proof | Unsigned Logs | JSON Output | Proprietary Log | SHA-256 Signed Audit Chain |
Audits/sec Benchmark Throughput
Security Suite Tests Passing
OWASP LLM Categories Active
SOC2 & HIPAA Audit Alignment
Bartholomew emerged from vulnerability research across bug bounty platforms including Immunefi, Google Bug Hunters, Bugcrowd, and public GitHub security trackers. Uncovering unmasked secret leaks and unmonitored tool loop traps in autonomous agents led directly to building Bartholomew.
"I built Bartholomew because autonomous AI agents are rapidly evolving from conversational interfaces into mission-critical enterprise infrastructure. Autonomous reasoning loops require a dedicated paradigm of real-time security one designed specifically for multi-step agent trajectories."
Sub-millisecond Go core daemon optimization (1.44 μs), Python SDK @guard(), 7-class OWASP kill-switch suite, SHA-256 chained attestation proof.
On-Premises Air-Gapped Kubernetes deployment packages, automated SOC2 Type II compliance reports, and GCP Cloud Run global availability zone mesh.
TPM 2.0 / HSM hardware-rooted attestation proofs, FedRAMP High certification, and enterprise multi-tenant key management enclaves.
Bartholomew monetizes via a high-margin enterprise licensing model: developer open-core adoption driving paid per-node annual runtime subscriptions for regulated B2B microservices.
$0 / month
Local Go daemon binary & Python @guard() SDK up to 1M trajectory audits/month for developer adoption.
$25k – $100k / year
Per-node subscription for fintech & healthcare runtimes. Includes live CISO dashboard, SIEM connectors (Splunk/Datadog), and pre-deploy fuzzer.
$150k – $500k / year
Annual license for air-gapped SCIF, NSA IL5, and FedRAMP High defense enclaves with hardware-rooted TPM 2.0 / HSM attestations.
Seed funding directly accelerates core systems engineering, enterprise licensing sales pipelines, and sovereign defense compliance certifications.
Scale Go daemon throughput (11.98M → 50M ops/sec), advance zero-day entropy algorithms, and ship native Kubernetes operator CRDs.
Hire 3 Enterprise Security Sales Engineers targeting Fortune 500 CISOs and fintech platform engineering leaders.
Formalize SOC2 Type II, ISO 27001, and FedRAMP High audit packages for instant enterprise procurement.
Partner with Bartholomew to secure your autonomous AI microservices and agent runtimes.
itsub@bartholomew.info