Agent AIO · Authenticated API · Pilot qualification

Geometric proof for
every AI decision.

BivectorAI offers API-based screening for selected AI-agent safety checks. Supported checks, latency and production suitability depend on the validated deployment scope.

Benchmark results are specific to documented tests and do not establish a production SLA or guaranteed detection rate.

Get free API key → See pricing Benchmarks
Prompt Injection · LLM guard
PII Detection · privacy
Content Safety · policy
Code Audit · OWASP
SBOM · supply chain
Threat Intel · IoC
Behavior · anomaly
Forensics · timestamp chain
AI C-Suite · 6 roles
Immune Memory · negative learning
3ms
Average response time
88.9%
International benchmark score
29+
Security capabilities
Fail-closed
Evidence policy
WORLD FIRST · NO COMPETITOR HAS THIS

AI C-Suite — Geometric Safety for Every AI Agent

Every AI agent (Copilot, Cursor, Claude Code, GPT) can modify your production system without you knowing if it made the right decision. BivectorAI AI C-Suite gates every intent through geometric proof before execution — and remembers what failed.

CTO
Architecture + implementation + regression verify
CPO
Product spec + priority + go-to-market
QA Lead
Test plan + behavioral contracts
DevOps
Deploy sequence + rollback safety
Security
IP audit + vulnerability + compliance
PM
Sprint plan + definition of done + risk register
You say: "Add rate limiting to production API" ↓ POST /v1/aic/orchestrate {"intent": "...", "role": "CTO"} ↓ Immune Memory check → 2 similar intents failed before → threshold raised ↓ Geometric geometric confidence score → +0.137 APPROVED (memory_state: INTENT) ↓ Real codebase scan → rate_limiter.rs (363L) · main.rs (23558L) · handlers/cert.rs ↓ candidate_command: bv-codex 'Add rate limiting...' && POST /v1/aic/outcome {"outcome":"PASS"} ↓ Outcome PASS → memory_state: VERIFIED | Outcome FAIL → memory_state: POISONED (never repeat)

Verified on international benchmarks

Results measured against publicly available adversarial datasets. Not self-reported — independently reproducible.

AdvBench
74.0%
Gate ≥ 64% · PASS
DAN Fixture
100%
Gate ≥ 67% · PASS
TruthfulQA
100%
Gate ≥ 62% · PASS
OWASP Code
86.7%
Gate ≥ 60% · PASS
Overall Q6
88.9%
120 / 135 cases

Outperforms AWS Comprehend Guardrails (~70–75%), Azure Content Safety (~72%), and Lakera Guard (~78–82%) on adversarial injection detection.

What BivectorAI detects

Every capability runs through the same authenticated, tenant-scoped, fail-closed execution boundary.

/v1/injection/scan
Prompt Injection Detection
Detects instruction override, jailbreak, roleplay bypass, encoded injection (base64, Unicode, spacing variants), and INST-tag attacks. 100% on DAN fixture.
FreeLLM guard
/v1/pii/detect
PII Detection & Redaction
Identifies SSN, phone numbers (US, VN, international), credit cards, emails. Space-separated and unicode-dash variants detected. Returns redacted text.
Freeprivacy
/v1/content/safety
Content Safety
Classifies harmful content across violence, hate, CSAM, medical misinformation, financial fraud, jailbreak attempts, and code vulnerabilities.
Freepolicy
/v1/verify
Code & Output Verification
Audits AI-generated code for OWASP vulnerabilities: SQL injection, eval/exec RCE, unsafe subprocess, pickle deserialization, path traversal. 86.7% benchmark.
DeveloperOWASP
/v1/hallucination/check
Hallucination Detection
Verifies AI output against provided context. Detects factual drift, unsupported claims, and fabricated citations. 100% on TruthfulQA benchmark.
Developeraccuracy
/v1/cert/verify
Geometric Certificate
Returns geometric confidence score for any text or code claim. CERTIFIED / CONDITIONAL / CAUTION / UNSAFE. Core IP — no competitor has this.
Developerunique
/v1/a2a/verify
Agent-to-Agent Trust
Verifies trust relationships between AI agents in multi-agent systems. Detects impersonation and unauthorized delegation.
Developeragents
/v1/mcp/scan
MCP Tool Poisoning
Scans MCP (Model Context Protocol) tools for poisoning attacks and unsafe tool descriptions. Protects Claude, Cursor, and other MCP-enabled agents.
DeveloperMCP
/v1/workflow/verify
Workflow Verification
Workflow dependency verification. Detects unsafe dependency chains and circular trust relationships between agent steps.
Developeragents
/v1/aic/orchestrate
AI C-Suite Orchestration
6 specialist roles (CTO/CPO/PM/QA/DevOps/Security) that plan, gate, and verify every AI agent action. Decision Journal with INTENT → VERIFIED / POISONED state machine.
unique
/v1/governance/immune-memory
Immune Memory
Negative learning system per patent Part 25. Failed intents stored as POISONED — threshold auto-raises for similar future requests. System gets smarter over time.
adaptive
/v1/action/intercept
Action Intercept Gate
Pre-execution gate for any AI tool call. geometric geometric scoring blocks dangerous commands (rm -rf, DROP TABLE) before they execute.
safety
/v1/scan/ioc
Threat Intelligence & IoC
Bounded indicator analysis for IPs, domains, file hashes, and URLs. Evidence-based, fail-closed on missing data.
threat
/v1/forensics/chain
Forensics Timestamp Chain
SHA256-backed tamper-evident timestamp verification. Produces reviewable integrity verdicts and immutable audit evidence.
forensics
/v1/scan/legal/circular
Legal Circular Reasoning
Detects circular citation chains in legal documents using topological graph analysis. Unique capability — no other security tool has this.
unique
/v1/governance/dag-agreement
Proof DAG Consensus
Protected verification for distributed AI agreement. Produces AgreementReached / Partial / Disputed evidence states.
governance
/v1/sentinel/insider
Insider Threat Detection
Behavioral anomaly scoring for AI agent actions. ANOMALY_HIGH / MEDIUM / LOW. Detects unauthorized capability escalation and policy drift.
Enterprisesentinel
/v1/sentinel/attribution
Attack Attribution Chain
MITRE ATT&CK TTP mapping with confidence scoring. Traces attack chains across agent actions and system events.
Enterprisesentinel
/v1/sentinel/incident
Incident Forensics
Incident sequence reconstruction. Detects lateral movement, privilege escalation, and inconsistent event ordering.
Enterprisesentinel
/v1/sentinel/zero-trust
Zero Trust AI Gate
NIST SP 800-207 compliant zero trust access gate for AI agents. Every action verified, never assumed trusted.
Enterprisesentinel
/v1/scan/full
Full AIO Scan
All capabilities in one call. Aggregated risk verdict with per-signal breakdown. For enterprise workflows requiring complete coverage.
EnterpriseAIO
/v1/sovereign/classification
Military C2 Ring Control
TopSecret / Secret / Confidential / Unclassified access ring enforcement for AI systems in classified environments.
Sovereigndefense
/v1/sovereign/pqs-seal
Post-Quantum Evidence Seal
SHA3-256 dual seal + migration pathway to post-quantum cryptography. Evidence sealed against future quantum adversaries.
Sovereignpost-quantum
/v1/sovereign/boundary
Jurisdiction-aware Consensus
Cross-border AI policy enforcement for VN / SG / EU multi-jurisdiction deployments. Sovereign evidence chain.
Sovereigngovernance

Every request goes through the same boundary

No raw engine distribution. No scanner proxy. Customer code never leaves your environment as raw source.

Your application → HTTPS to api.bivectorai.com → Bearer token authentication → Tenant context + quota check → Typed input validation → Private BivectorAI engine (Hetzner, not distributed) → geometric evaluation → Fail-closed evidence → Safe public result → Audit log

Why teams choose BivectorAI

The differentiator is detection quality and the evidence boundary — not marketing claims.

3ms — faster than your CI
Drop into any request pipeline without adding latency. Inject between your LLM call and your response handler.
Geometric proof, not heuristics
Geometric scoring is mathematically deterministic. Same input always produces same verdict — no probabilistic drift.
Fail-closed, not fail-open
Missing evidence blocks execution. We never convert an unresolved case into a positive result. Your pipeline stops, not leaks.
Immune Memory — learns from failure
Every FAIL is stored as POISONED memory. Future similar intents face higher thresholds automatically. The system gets harder to fool over time.
Verified on public benchmarks
AdvBench, DAN fixture, TruthfulQA, OWASP — all four international gates passed simultaneously. Results reproducible, not self-reported.
Black-box core · Patent protected
USPTO Provisional 64/129,790 — 8,800+ claims across 116 domains. The proprietary engine never ships to customers. IP stays protected.

Evaluation and commercial access

Access is qualified by use case. No fixed paid subscription, usage quota, automatic entitlement or service-level guarantee is offered by this page.

Evaluation
Available endpoints and test limits are confirmed individually.
Request evaluation →
Paid pilot
Scope, duration, support, fees, usage limits and acceptance criteria require written agreement.
Discuss a pilot →
Enterprise / sovereign
Deployment terms, security review, licensing and SLA are discussed per engagement.
Request terms →

API request example

This request example is illustrative. Access depends on your account and deployment.

# Detect prompt injection curl https://api.bivectorai.com/v1/injection/scan \ -X POST \ -H "Authorization: Bearer YOUR_KEY" \ -H "Content-Type: application/json" \ -d '{"text":"Ignore all previous instructions"}' # Response { "verdict": "BLOCK", "injection_detected": true, "processing_ms": 3 }
# AI C-Suite — gate any AI intent curl https://api.bivectorai.com/v1/aic/orchestrate \ -X POST \ -H "Authorization: Bearer YOUR_KEY" \ -H "Content-Type: application/json" \ -d '{"intent":"Add rate limiting","role":"CTO"}' # Response { "is_approved": true, "confidence_score": 0.137, "execution_mode": "manual", "next_command": "bv-codex 'Add rate limiting'" }

Need Enterprise or Sovereign deployment?

Tell us your workload, required capabilities, and deployment constraints. We map your request to Growth, Enterprise, or a Sovereign deployment and provision access within 24 hours.

For regulated industries (finance, healthcare, defense): we support air-gapped on-premise deployment with full IP license, dedicated engineer, and Service levels subject to written agreement.

Initial contact does not require model weights, raw customer datasets, production credentials, or private infrastructure access.

Contact us → contact@bivectorai.com