ARTONexa ARTONEXA
AI SECURITY RESEARCH

Behavioral enforcement,
identity, and forensic audit
infrastructure for agentic AI.

Most organizations deploying AI agents today cannot demonstrate who their agents are, what they are authorized to do, or what they actually did. The Sovereign Security Suite exists to make those questions answerable.

01
No Identity
Agents run under shared service accounts, inherited credentials, and API keys provisioned for something else. You cannot govern what you cannot identify.
02
No Authorization
Role-level access grants cannot express action-level constraints. An agent with read access to a database has read access to the entire database.
03
No Audit Trail
Logs exist. Audit-ready evidence does not. A log that can be modified is not evidence of what happened. It is a record of what someone claims happened.
04
No Accountability
When an agent causes harm, accountability is distributed so broadly it belongs to nobody. Named, revocable responsibility does not exist in most deployments.

Three interconnected tools that form the complete behavioral enforcement, identity, and forensic audit stack for agentic AI.

IDENTITY
Tessera
Zero-trust IAM for AI agents. Every agent gets a unique scoped credential with DPoP token binding, delegation-chain narrowing across five depth levels, and Redis-backed revocation that propagates immediately across all authenticated services.
DPoP Token Binding Depth-5 Delegation Instant Revocation
View on GitHub →
ENFORCEMENT
VerityFlux
Session-level behavioral enforcement. 27 adversarial detectors operating on the full conversation trajectory. Empirically validated: 73% detection rate for multi-turn adversarial sequences versus 0% for per-request monitoring across 214 samples.
27 Detectors Session-Level 73% Detection Rate
View on GitHub →
AUDIT
Vestigia
Tamper-evident forensic audit. SHA-256 hash-chained logging at the turn and tool invocation level, OpenTelemetry distributed tracing, SIEM forwarding, and PII scrubbing. Audit-ready evidence, not just logs.
Hash-Chained Logs OpenTelemetry SIEM Forwarding
View on GitHub →
0%
Per-request monitoring catch rate
73%
Session-level trajectory catch rate
11.4
Average turns to breach
2.3x
Safety decay at handoff boundaries

The Accumulation Problem — 214 adversarial samples · Cohen's κ = 0.87 ·

Read Controlled Agency →
DEF CON 33
Speaker
Black Hat MEA 2025
Speaker
OWASP AI Exchange
Core Author
AIVSS v0.8
Named Reviewer
OASec 2026
Founding Circle
UN Global Dialogue
AI Governance Contributor

The tools are open source. Enterprise deployment, managed hosting, implementation support, and compliance reporting are available for organizations that need production-grade integration.

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