Adversa AI Wins Artificial Intelligence Excellence in Safety and Alignment

Recognized for advancing real-world AI security by way of steady adversarial testing of AI methods

Adversa AI introduced in the present day that it received the Artificial Intelligence Excellence Awards 2026 in the Safety and Alignment class. The award is judged by main AI specialists and enterprise executives and acknowledges firms with real-world affect in AI innovation. The award highlights Adversa AI’s strategy to AI security — focusing not solely on theoretical alignment, however on sensible, real-world validation of AI conduct underneath adversarial situations. Adversa AI was chosen for its platform for steady adversarial testing of AI methods. The platform helps organizations establish dangers akin to immediate injection, mannequin manipulation, unsafe agent conduct, and unintended actions earlier than deployment.

Adversa AI leads the CoSAI Agentic AI Security workstream and serves as a core member of OWASP AIVSS. The platform maps testing protection to the frameworks its workforce helps develop. The firm’s AI safety analysis has been coated by The Wall Street Journal, Wired, TechCrunch, and Bloomberg. The workforce created SecureClaw, one of the crucial broadly adopted open-source safety frameworks for AI brokers.

Why security leaders care

With fast enterprise adoption of autonomous AI brokers, validating AI conduct underneath real-world situations has change into a board-level concern. Alignment methods utilized on the mannequin stage don’t account for a way methods behave when inputs are manipulated, instruments are misused, or brokers chain actions throughout exterior methods, creating essential security gaps that go undetected till exploitation.

Founder’s quote

“AI security can’t be validated in isolation from real-world threats. Alignment isn’t nearly intent. It’s about how methods behave underneath stress, when inputs are manipulated, or when brokers work together with instruments and exterior methods. We discuss to our friends at CoSAI Agentic AI Security workstream, we discuss to our clients, and we see this sample day-after-day. The requirements our bodies we contribute to are merging security and safety right into a single self-discipline. This award acknowledges that shift. We want to check AI methods the best way attackers would. Only then can we perceive whether or not they’re aligned and protected to deploy,” mentioned Alex Polyakov, Founder and CTO of Adversa AI.

What units the Adversa AI platform aside

The platform lets organizations repeatedly consider AI methods for immediate injection and manipulation dangers, unsafe agent actions and decision-making, device misuse and unintended execution paths, and multi-step workflow vulnerabilities that emerge underneath adversarial stress.

Assessments map to OWASP AIVSS, NIST, and CSA requirements, letting organizations transfer from theoretical security to testable alignment outcomes. The platform brings steady AI pink teaming to enterprise-scale environments in monetary companies, insurance coverage, and authorities.

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