AWS for Software Companies Podcast

Discover how Zuora turned its own billing platform inward to track AI costs down to the individual engineer, giving CFOs the trust and auditability they demand.Topics Include:AWS's Achint Naveen opens, introduces Zuora as a key partnerAudience poll reveals AI monetization is still a struggleZuora's Katherine Shealy introduces the company's AI monetization focusZuora powers monetization for global brands like Twilio, ZoomTheir platform spans CPQ, billing, metering, and revenue recognitionUsage-based pricing has flipped seat-based SaaS models upside downAI companies face a 20-point margin gap versus SaaSCompanies juggling multiple pricing models face major hidden complexityTraditional pricing models are breaking down under AI's dynamic costsZuora's framework aligns teams early through an NPI-style processTheir tech lets companies iterate pricing at engineering speedZuora now tracks its own AI costs internally tooZuora AI runs on AWS Bedrock and AgentCore infrastructureAWS's Achint details the full stack behind Zuora AIAgentCore Memory gives Zuora's agents secure, persistent contextParticipants:Katherine Shealy – Principal Product Marketing Manager, ZuoraAchint Naveen – Sr Account Manager, Amazon Web Services  See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Sophos CSO Simon Reed reveals how attackers now operate like leveraged businesses—and how AI is making both sides of the cyber arms race dramatically more sophisticated.Topics Include:Intro: Simon Reed, CSO at Sophos, joins Kamil Davidov.Sophos defends 625,000+ organizations with AI-native Fusion platform.Sophos MDR runs the world's largest agentic SOC.Simon's journey: cybersecurity since 2001, from graffiti to warfare.Cyber threats framed as constant toxicity, not occasional lightning strikes.Sophos spans small business to enterprise, giving unique threat visibility.Attackers now operate as leveraged, ecosystem-driven businesses, not lone actors.AI dramatically increases attack quality, speed, and sophistication.AWS Local Zones cut latency for Sophos's threat intelligence cloud.IntellX connects every product to real-time global threat data."Good day" means finding novelty before attackers exploit it.Worst days: sudden, unpredictable supply chain compromise scenarios.Sophos updates protection across 600,000 customers within minutes.Decisions made fast, on incomplete data, balancing speed and risk.Sophos has pursued AI and deep learning for eight-plus years.Agentic AI's next phase reduces laborious human security work.Simon prioritizes class-based, automation-scale defenses over budgets.Sophos cut data platform costs 30%, migrated ahead of schedule.Advice: hyper-engage AWS account teams, push for more.Closing story: Sophos helped stop ransomware hitting hospitals during COVID.Participants:Simon Reed – Chief Security Officer, SophosKamil Davidov – Sales Leader Israel ISV-BizApps, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Vibe coding is accelerating code development within the Enterprise, but at what cost of security? Retool’s CEO shares how you can accelerate software development while managing the risks effectively.Topics Include:Internal software runs pharmacies, grocery checkouts, and airport check-ins dailyRetool manages and de-risks environment from insecure codeAI has driven a 10x surge in code volume since 2025More code plus less human review means falling code qualityNon-engineers can now build working apps in minutes flatBut deploying and securing those apps remains genuinely difficultMultiple CIOs found private company data exposed on the internetUncontrolled model choice is quietly driving up company costsAttackers now deploy automated agent swarms, not lone hackersDefense is asymmetric: one flaw in, everything must holdRetool runs inside customers' own cloud, often on AWSA single data choke point enables logging, audits, authorizationGuardrails, not their absence, actually let teams move fasterSecurity audits reveal major gaps in nearly all companies checkedNearly all companies may face a serious hack within 18 monthsParticipants:David Hsu – Founder, CEO, RetoolSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In a fascinating panel discussion, executives from Couchbase, SentinelOne and AWS share strategies ensuring the highest adoption and ROI when deploying AI and the pitfalls to avoid along the way.Topics Include:Agentic AI marks shift from clever data to autonomous agentsOrganizations sit at different AI maturity levels, not uniformOnly 31% of adopters see measurable financial impact from AIAdoption friction, not access, is what stalls most AI valueSegment your workforce: innovators, pragmatic majority, and reluctant laggardsGive innovators tools, budget, and freedom before chasing laggardsVisible recognition programs turn early innovators into internal role modelsAI-ready data infrastructure remains the top blocker to real adoptionFuture AI value concentrates at customer-facing, transaction-level touchpointsCoding tools see fast uptake; broader business adoption lags behindAI is quietly rewriting SEO, SEM, and lead-routing strategyAgent trust requires both clean data and strong safety guardrailsHuman-in-the-loop review lets AI handle investigation, humans decide outcomesIn agentic AI, go-to-market partnerships matter more than past tech wavesStrong tech-platform partnerships help smaller vendors punch above their weightMarketplace listings can cut sales cycles from months to weeksBest partnerships form around solving hard problems, not quarterly quotasConfidence gap: only 38% of employees feel AI-readyParticipants:Deirdre Toner – President & Chief Commercial Officer, CouchbaseEran Ashkenazi - Chief Business Officer, SentinelOneConnie de Lange – Director, AWS Strategic Customer & Partner Marketing, North America, Amazon Web ServicesMatt Wood – Chief AI & Technology Officer, Amazon Web Services  See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Demandbase's Vice President of Product explains why they deleted a fully-approved AI architecture two months before launch — and how the rebuild surpassed some of their customer’s highest expectations.Topics Include:AWS's Achint Naveen introduces Demandbase's VP of Product, Chad HoldorfDemandbase unifies sales, marketing, and revenue data into one viewNovember's architecture used many specialized agents, all committee-approvedThat design failed constantly — only a 30% conversation pass rateOn May 11th, the team deleted the entire architectureRebuilt in May with AWS Strands: one simpler, flexible agentPass rate leapt from 30% to 94% almost overnightWeek two retention rose from the low 20s to upper 80sWeekly active users grew 45% week-over-week after launchReal customer interviews play, calling the new AI a "dream"One user cut an hour-long report down to fifteen minutesCustomers now trace ad impressions directly to closed dealsHoldorf's advice: delete and rebuild when architecture gets too complexAWS's Naveen walks through Bedrock, AgentCore, and StrandsAgentCore Memory highlighted as Demandbase's next area of explorationParticipants:Chad Holdorf – Vice President of Product Management, DemandbaseAchint Naveen – Sr Account Manager, Amazon Web Services  See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/