Recently, Aware CEO Ajay Amlani had the opportunity to join an important conversation on Capitol Hill as part of SeedAI’s “AI Primer: Redefining the Future of Identity.” It was a timely and necessary discussion that brought together leaders across industry, academia, and policy to examine how artificial intelligence is rapidly reshaping the identity landscape.
We’re grateful to the SeedAI team for organizing this dialogue. These are exactly the kinds of forums the biometrics industry needs more of—spaces where we can exchange ideas, challenge assumptions, and align on how to responsibly advance technologies that are evolving faster than traditional governance frameworks can keep pace.
Ajay had the privilege of sharing the stage with an exceptional group of voices:
- Dr. Stephanie Schuckers (UNC Charlotte and CITeR), whose work continues to influence how we think about biometric performance, standards, and testing
- Dr. Michelle Spektor (MIT and IEEE Fellow), who brought critical insight into the social and ethical dimensions of AI and biometrics
- Joshua New (SeedAI), who did an excellent job moderating a nuanced and forward-looking conversation
Together, they explored a central truth: we are entering a fundamentally new era of identity.
From Static Verification to Intelligent Identity
Advanced machine learning has transformed biometrics from static matching systems into intelligent identity platforms that are trained to improve over time. At the same time, AI technologies are also lowering the barrier for adversaries. We are no longer simply verifying identity—we are defending it.
Deepfakes, synthetic identities, and AI-generated personas are no longer theoretical risks. They are actively impacting financial services, government systems, and digital platforms today.
This dual reality creates both unprecedented opportunity and urgency. Organizations must evolve just as quickly as the threats they face.
Identity Is the New Perimeter
One of the clearest trends we’re seeing across our Aware customer base, from federal agencies to financial institutions, is the shift toward digital-first interactions. As a result, identity has become the new perimeter.
Traditional security models are no longer sufficient. Fraud is scaling faster than legacy controls can keep up, particularly in high-risk environments like remote onboarding and digital account creation.
Organizations are responding by moving beyond one-time identity verification to continuous identity assurance across the entire user lifecycle. There is also growing demand for passive, low-friction solutions that deliver security without disrupting the user experience.
In the public sector, this shift is equally significant. Agencies are modernizing legacy systems to improve both security and accessibility at scale.
An Arms Race We Must Acknowledge
The reality is simple: this is an arms race.
Every advancement in biometric capability must be matched with equal or greater investment in anti-spoofing technologies, liveness detection, and layered identity approaches. We cannot separate innovation from security.
The industry has a responsibility to stay ahead of misuse. That means not only improving accuracy, but also ensuring resilience against increasingly sophisticated attacks.
It also requires transparency. Organizations need to understand not just how well a system performs under ideal conditions, but how it holds up against real-world adversarial threats.
Ultimately, trust is the product. If we fail to proactively address misuse, adoption will stall.
The Case for Smarter, Risk-Based Regulation
One of the most pressing challenges discussed during the panel was the current patchwork of biometric regulations. Today, organizations must navigate a fragmented landscape of sector-specific and state-level requirements, which creates uncertainty and slows innovation.
What we need is a clear, risk-based federal framework that distinguishes between high-risk and low-risk use cases and provides consistent standards for performance, testing, and anti-spoofing.
Equally important is clarity around acceptable use. Organizations need to understand what constitutes responsible deployment versus prohibited applications.
Regulation should focus on outcomes (like security, accuracy, and fairness) rather than prescribing specific technologies. Done correctly, it can accelerate innovation by giving organizations the confidence to invest and deploy at scale.
The United States has a unique opportunity to lead globally in this space by setting forward-looking standards that balance innovation, privacy, and security.
Collaboration Is Not Optional
No single organization can solve these challenges alone.
Staying ahead of AI-driven threats requires deep collaboration across industry, government, and academia. We must share threat intelligence, align on standards, and work collectively to anticipate and mitigate emerging risks.
Forums like the one hosted by SeedAI play a critical role in enabling this collaboration. They create a space for honest dialogue and cross-sector alignment, which is essential as the pace of innovation continues to accelerate.
A Final Thought: Identity Lives in People, Not Credentials
There is one principle that Ajay continued to come back to in the session:
Identity lives in people, not credentials.
This perspective challenges us to think differently about how we design, deploy, and govern identity systems. It reinforces the need for solutions that are not only secure and accurate, but also human-centered and trustworthy.
The future of identity will be shaped by how well we balance innovation with responsibility. Opportunities for open conversations are an important step in that direction, and we look forward to continuing this dialogue as we collectively define what trusted identity looks like in the age of AI.
