Shelton, CT – June 11, 2025 — Qevlar AI has been named a winner of the 2025 MSP Today Product of the Year Award, recognized for its groundbreaking solution, "AI SOC Analyst for MSSPs." This award, presented by TMC’s MSP Today, celebrates Qevlar AI’s exceptional innovation, deep partner collaboration, and measurable business impact for managed service providers (MSPs).
The MSP Today Product of the Year Award are among the most prestigious honors in the technology industry. Backed by TMC’s 50+ years of leadership in tech media, the award highlights the most impactful solutions sold to and through the channel today. Winners undergo a stringent judging process led by MSP Today editors, ensuring only the most effective and innovative offerings are recognized.
Qevlar AI’s award-winning product, AI SOC Analyst for MSSPs, empowers security operations teams with advanced, automated threat detection and analysis. By blending visual intelligence with real-time contextual classification, Qevlar AI gives MSSPs the ability to operate at speed and scale without sacrificing precision.
With increasing cyber threats and growing operational complexity, Qevlar AI’s solution helps MSSPs streamline workflows, reduce alert fatigue, and focus on what matters most: protecting their clients.
“It gives me great pleasure to recognize Qevlar AI as a 2025 recipient of TMC’s MSP Today Product of the Year Award for their innovative solution, AI SOC Analyst for MSSPs,” said Rich Tehrani, CEO of TMC. “Our judges were thoroughly impressed not only by the strength and features of the product, but by Qevlar’s commitment to empower its customers to deliver exceptional service and drive meaningful results for their clients.”
Since 1972, TMC has been a trusted voice in the communications and technology sector. Through its editorial platforms, events, and lead generation programs, TMC helps tech vendors reach decision-makers and scale their impact.
The MSP Today Product of the Year Award is one of the many ways TMC celebrates excellence in the tech ecosystem.