What began as a single New York City hiring-tool ordinance is now a five-jurisdiction compliance regime: Illinois requires notice, California requires bias testing and four-year recordkeeping, Colorado's replacement law takes effect January 1, 2027, and Connecticut's CART Act adds a fifth. AxiSentinel evaluates employment AI against whichever jurisdiction's rule actually applies to a given hire.
NYC's Local Law 144 was the first hiring-AI ordinance in the country when it took effect in 2023. It is no longer the only rule that matters: Illinois, California, Colorado, and now Connecticut have each added binding obligations of their own, a December 2025 government audit found NYC's own enforcement of the original law is not working as designed, and Illinois itself has since paused its own implementing rules while the underlying statute stays in force.
An annual bias audit is a once-a-year snapshot. AxiSentinel is built for what happens the other 364 days: continuous evidence that a hiring or promotion model still tests the way its last audit said it would.
Coverage is jurisdiction-by-jurisdiction, not federal. AxiSentinel tracks the growing list the same way it tracks every other multi-jurisdiction patchwork.
In force since July 5, 2023; requires an annual independent bias audit and candidate notice before an automated employment decision tool is used.
In force since October 1, 2025; requires anti-bias testing, four-year record retention, and reasonable accommodation processes for ADS tools.
In force since January 1, 2026; AI with the effect of discriminating in employment decisions is a civil rights violation, with mandatory employee notice.
Signed May 14, 2026 after a federal court blocked the original AI Act; takes effect January 1, 2027 with a narrower, notice-based approach.
Signed June 2, 2026, adding Connecticut as the fifth US jurisdiction with binding employment-AI obligations, including notice when AI is used in hiring and employment decisions.
No federal employment-AI statute is in force; existing Title VII disparate-impact theory already applies to hiring algorithms regardless of state law.
In force since January 1, 2026; employers with 25 or more employees must disclose in publicly advertised job postings whether AI is used to screen, assess, or select applicants.
General-purpose AI risk-management frameworks that already apply to any hiring, promotion, or termination model an employer deploys.
From a single hiring model to a national talent-acquisition stack, AxiSentinel evaluates the software and evidence continuously, not just at annual-audit time.
Nothing about AxiSentinel's core architecture changes for employment AI. What changes is which RegDef packages are switched on and what telemetry the agents capture.
Agents capture hiring, promotion, and termination-model telemetry on the cadence you configure, always-on or scheduled, in full rather than sampled, and never limited to an annual audit cycle.
Every telemetry event evaluated against the applicable jurisdiction's notice and testing requirements, per decision.
Every audit record is linked to the one before it in a signed, tamper-evident evidence chain, verifiable from the first event.
A compliance state change on one hiring model or an entire talent-acquisition stack propagates network-wide as it happens.
Nothing becomes a compliance finding until a qualified auditor reviews and signs it.
AXI-Node agents deploy across applicant-tracking, video-interview, and skills-assessment systems, with the .axibatch format available for employers running fully on-prem HR systems.
Tracks human involvement in hiring, promotion, and termination decisions, feeding into AxiSentinel's oversight-gap scoring model.
The same agents generating compliance evidence watch for adversarial resume manipulation, unauthorized model retraining, and undisclosed proxy variables before a re-certified release reaches production.
New rule, jurisdiction, or requirement is added by encoding new RegDef packages. Deployed agents are never rebuilt.
Scoped to your organization during onboarding, not hard-coded into the platform.
A threshold breach becomes a flagged, timestamped, evidence-linked Provisional Alert, reviewed by a certified human auditor before anything counts as a finding.
The same architecture monitoring this industry's AI monitors a trading desk's model or a hospital's diagnostic AI. What changes is which RegDef packages are switched on.
New York City, California, Illinois, and Colorado now all impose binding obligations on employment AI, and a government audit has already shown one of them isn't being enforced as written. AxiSentinel's evidence-chain architecture already generates continuous proof for regulated AI; employment-specific evidence is a new RegDef surface on the same platform, not a new product.
Whether it's a single hiring model or a national talent-acquisition stack spanning New York City, California, Illinois, and Colorado, AxiSentinel evaluates it the same way it evaluates any AI system: on the cadence you configure, always-on or scheduled, with full evidence, and with a human signature before anything counts as a finding.
