TruConfidence: The AI-Powered Remediation Intelligence & Orchestration engine powering TruRisk Eliminate 2.0 delivers autonomous remediation at scale with proof at every step. Executive Summary Vulnerabilities are now discovered faster than enterprises can remediate them. Patch automation has been around for years, but vulnerability backlogs are still growing. Automation isn’t the bottleneck. Confidence is: without evidence of how a change will behave, Security and IT teams hold back, and the…
The following is a guest blog by ITSPmagazine, based on their interview of Qualys President & CEO Sumedh Thakar at Black Hat USA 2026. Sumedh Thakar has watched the same clock compress for 23 years. He joined Qualys as an early software engineer on the scanner, when organizations scanned once every 90 days and gave themselves another 90 days to fix what turned up. At Black Hat USA 2026 in August, the now President and CEO of Qualys measured the current expectation in different units. Ninety…
Key Takeaways Human-speed compliance is dead. Attackers utilizing modern, autonomous AI tools can chain enterprise misconfigurations and weaponize vulnerabilities in under 25 minutes, rendering manual, periodic audit cycles completely obsolete. The “Configuration Gap” is your biggest blind spot. Organizations take an average of 14 months to remediate basic identity, access control, and logging flaws, leaving a massive, open window of exposure for automated exploitation. Hyper-prioritization is…
Executive Summary Frontier AI has turned CVE weaponization timelines to hours, making scan-bound detection a growing compliance and breach-risk challenge. Agent Insta powers InstaScan to deliver scanless detection by transforming existing inventory, telemetry, and threat intelligence into validated exposure findings within minutes of disclosure. Operating 24/7, InstaScan enables AI-speed detection with 90%+ coverage across technologies representing 60–70% of enterprise vulnerability volume.…
Key Takeaways AI adoption has outpaced enterprise controls, with AI and LLM workloads appearing faster than security teams can inventory or approve them. AI governance has become an evidence problem. Policies, questionnaires, and risk registers cannot prove that AI systems are safe. Traditional security tools see only fragments of AI risk. They miss model behavior, cannot produce technical evidence, and do not discover or assess the full AI estate. TotalAI connects four components of AI…