E13 Bonus: The Return of Backbox, and AI as a Trusted Advisor, with Rekha Shenoy, CEO of Backbox

Episode Summary

Executive Summary: Backbox CEO Reka Shinoy explains how the company evolved from backup/recovery into network cyber resilience, configuration compliance, vulnerability intelligence, and now responsible AI via Kilter AI. The conversation centers on agentic NetOps for enterprise network teams: use AI to reduce manual work, improve decisions, and generate automations while keeping humans in control, preserving accountability, transparency, and uptime.

Main Topics: Reka Shinoy’s background and leadership style (Priority: 3/5): Shinoy describes a 30-year career across engineering, enterprise software, cybersecurity, network infrastructure, product, marketing, and sales. Her strength is scaling great products rather than founding them, with a focus on market understanding and execution. Backbox’s evolution into network cyber resilience (Priority: 5/5): Backbox began as backup and recovery, then expanded into configuration compliance and vulnerability intelligence, building a broader resilience platform for network infrastructure teams facing constant threats. Go-to-market challenge and product-market fit (Priority: 5/5): Shinoy says the product is ahead of the market in awareness: customers love it, but many prospects simply do not know a solution like Backbox exists. The key challenge is visibility and messaging rather than product capability. Responsible AI as a design philosophy (Priority: 5/5): Backbox positions AI as a trusted advisor, not an autonomous agent. The company emphasizes transparency, control, repeatable results, and support for engineers rather than replacement of them, especially for mission-critical infrastructure. Kilter AI launch and practical automation (Priority: 5/5): The new Kilter AI platform uses AI insights and recommendations plus safe automations to cut manual work in backups, recovery, compliance, patching, and remediation, helping network teams act faster without losing oversight. Agentic NetOps and market timing (Priority: 4/5): Shinoy argues the market is finally ready for agentic NetOps because threats and vulnerability volume are rising, while teams lack the staff and coding expertise for traditional automation. AI is both the catalyst and the threat driving adoption. Why human accountability still matters (Priority: 5/5): The episode repeatedly returns to the idea that enterprise infrastructure needs deterministic, explainable systems. Backbox believes AI should augment human operators because they remain accountable for uptime, compliance, and safety.

Key Arguments: Backbox’s strongest opportunity is not fixing technology but improving go-to-market, because the product already exceeds customer expectations and gets unusually strong reviews. Network automation has historically been difficult for most enterprises because it required coding skills and a specialist mindset that many network operators do not have. AI adoption in networking must be responsible: enterprises need transparency, control, and accountability because downtime and mistakes can be mission-critical. The scale of vulnerability management has become too large for manual workflows, making AI-assisted prioritization and automation necessary. Kilter AI is designed to reduce hundreds of hours of manual work by helping engineers identify relevant vulnerabilities, understand mitigations, and convert insights into tested automations. Backbox intentionally avoids fully autonomous AI because customers do not want black-box systems changing infrastructure without human oversight. The next evolution of AI in NetOps is not replacing engineers but progressively increasing the number of tasks AI can safely take off their plates. The company believes agentic NetOps is emerging now because threat actors, CVE volume, and infrastructure scale have all increased while hiring capacity has not kept pace.

Data Points: CVE volume released last year: 49,000 - Shinoy cites this as evidence that vulnerability management is becoming unmanageable manually. CVE year-over-year increase: 20–25% more than the previous year - Used to show the accelerating burden on network teams. CEO tenure at Backbox: Since May 2024 - Shinoy took over as CEO in May 2024. Experience in technology: 30 years - Shinoy says she has spent the last three decades in technology. Backbox product promise vs. execution: "120% of the promise" - Shinoy says the product is ahead of go-to-market, not behind on core technology.

Pivotal Quotes: "Great ideas are no match for mediocre ideas executed exceptionally well." — Reka Shinoy: On why she is most proud of Backbox’s team and execution rather than product ideas alone. "We think of network operators as being those warriors out there… their life is always off kilter. If we can bring some kilter, some balance to them, that’s what we want to be." — Reka Shinoy: Explaining the naming and mission behind Kilter AI. "The most obvious thing that I hear every time is like, I didn’t know there was a solution like this." — Reka Shinoy: Describing Backbox’s visibility and go-to-market challenge.

Implications: Backbox is betting that enterprise networking will adopt AI only if it is explainable, controlled, and reliability-first. If successful, Kilter AI could define a practical middle ground between automation and autonomy for mission-critical NetOps.