SIOS Technology today announced the launch of Season 2 of its podcast series, Don’t Fail Me Now. Created for IT leaders, architects, and decision-makers, the podcast focuses on practical ways to reduce downtime, advance HA/DR initiatives, and support resilient, always-on systems.
Season 2 includes five weekly episodes, each 15–30 minutes long, with SIOS experts and industry guests sharing firsthand insights, best practices, and strategies for maintaining availability across complex environments. All episodes from Season 1 are also available on demand for listeners who want to catch up on earlier discussions.
Episodes will be released weekly on Spotify, YouTube, and Apple Podcasts.
Season 2 Lineup
- Episode 1: Protecting the Protectors: High Availability for Security and Compliance Platforms – Justin Chandler, senior solutions engineer at Cimcor, Inc., explores how file integrity monitoring, compliance automation, and high availability work together to eliminate blind spots. He discusses reducing alert fatigue, enforcing secure configuration baselines, and preventing data loss during outages, as well as trends in automation, containerization, and DevSecOps.
- Episode 2: Behind the Scenes of Award-Winning Customer Support at SIOS – Sandi Hamilton, director of product support engineering at SIOS Technology, shares insights on building and leading a global 24×7 customer support team, prioritizing critical outages, collaborating across teams, and maintaining the human element in an AI-driven world.
- Episode 3: Why SQL Server Audits Go Wrong, and How to Prevent – Shawn M. Upchurch, founder and CEO of UpSearch, explains why traditional SQL Server audits fall short, how visibility gaps form in virtualized and hybrid environments, and what continuous governance looks like to avoid unexpected costs.
- Episode 4: Building the Future of High Availability – Devin Haynes, product owner at SIOS Technology, discusses how the SIOS product roadmap is shaped by customer feedback, market trends, and emerging technologies such as automation and AI, and what it takes to build resilient software.
- Episode 5: Why High Availability Matters in Video Surveillance – Chebel Bou Chebel, technology partner manager at Milestone Systems, explores how modern video management platforms are scaling, the role of partner ecosystems, and why designing for failure is essential in high-risk and regulated environments.
IT professionals can subscribe to Don’t Fail Me Now and listen on all major platforms:
Averlon Launches Precog to Stop Exploitable Risk Before It Reaches Production
Posted in Commentary with tags Averlon on May 20, 2026 by itnerdAverlon today announced Precog, a predictive remediation capability that identifies exploitable risk in proposed code and infrastructure changes and delivers the fix to developers before the change reaches production. Precog addresses a widening gap: AI is accelerating both code delivery and vulnerability discovery, and security teams can no longer manage risk only after it lands in production.
The need for this shift is becoming urgent. Google Cloud’s Mandiant M-Trends 2026 report found that mean time to exploit collapsed from 63 days in 2018 to an estimated minus seven days in 2025, meaning exploitation now often begins before a patch is available. New frontier models such as Claude Mythos and GPT-5.5-Cyber are making it increasingly clear that AI will compress the time required to discover, validate, and exploit vulnerabilities. The result is a widening gap between the speed at which risk is discovered and exploited, and the speed at which security teams can triage and fix it.
The industry is converging on a new operating model: Remediation Operations, or RemOps. The premise is simple: finding risk and closing risk are different problems. Security teams do not need more alerts; they need a way to understand what is truly exploitable, prioritize by business impact, and drive safe fixes through developer workflows.
Averlon’s Remediation Operations platform addresses the full lifecycle of risk reduction: ingesting security findings, determining what is truly exploitable, prioritizing by business impact, and driving agentic remediation through developer workflows. The platform has helped customers reduce remediation time by up to 90 percent and alert noise by up to 95 percent, helping security teams move from backlogs of thousands of findings to the handful that need fixing.
With Precog, Averlon extends that model earlier in the lifecycle by preventing exploitable risk before it becomes production exposure. Unlike security scanners that flag findings based on generic severity scores, Precog evaluates whether a proposed change would actually be exploitable in the customer’s real environment, accounting for internet reachability, exposed services, and existing compensating controls. This contextual analysis means Precog surfaces the changes that genuinely create exposure, not the long tail of theoretically risky findings that wouldn’t be exploitable in production. Precog integrates into CI systems such as GitHub, evaluating proposed changes before they reach production.
When risky changes are detected, Precog identifies the issue, explains the exploitable path, and generates a remediation directly in the developer workflow. Developers receive the proposed fix at the same time they are notified of the risk, reducing friction between security review and software delivery.
Read the research and see Precog in action:
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