STIR/SHAKEN Progress Uneven as AI-Powered Robocall Fraud Escalates

  • TNS's 2026 Half-Year Robocall Investigation Report reveals uneven STIR/SHAKEN adoption, with top 7 U.S. CSPs at 85% signed inter-carrier traffic while smaller CSPs lag at ~20%.
  • 17% of confirmed spoofed calls carry 'A' attestation, undermining trust in authentication signals.
  • AI-driven fraud tactics—including voice cloning and multimodal attacks—are outpacing compliance efforts.
  • Regulators are tightening KYUP obligations and removing non-compliant CSPs from the Robocall Mitigation Database.

STIR/SHAKEN has made progress in reducing robocall fraud, but its effectiveness is being challenged by AI-driven threats and uneven adoption among smaller CSPs. The report highlights a critical inflection point where compliance alone is insufficient, requiring deeper collaboration across the ecosystem to maintain trust in voice communications.

Compliance Gaps
Whether smaller CSPs can overcome cost and infrastructure barriers to achieve full IP migration.
AI Fraud Evolution
How rapidly telecom providers and regulators can adapt defenses against AI-powered voice cloning and deepfake attacks.
Ecosystem Collaboration
The pace at which layered security measures—such as reputation scoring and anomaly detection—are adopted across the industry.