Rubrik's GM of AI Dev Rishi, explains how 85% of enterprises are building agentic AI but lack frameworks to govern agents with production system access - and how Rubrik solves this gap!

Topics Include:

• Dev Rishi explains Rubrik's evolution from data backup to cyber resilience company.
• Rubrik shifted focus after 2018 when ransomware became the primary business continuity threat.
• Recent investments center on AI features and security for enterprise data infrastructure.
• Rubrik's foundation understands organizational data, metadata, and identity access across all systems.
• Predabase acquisition brought generative AI and LLM platform capabilities into Rubrik's infrastructure.
• Rubrik Agent Cloud launched to address enterprise AI security and governance needs.
• 180 enterprise conversations revealed AI risk frameworks block ROI, not technology challenges.
• Agents enable 10x productivity but create 10x damage potential in shorter timeframes.
• Most organizations struggle enforcing AI policies across AWS Bedrock, OpenAI, and third-party platforms.
• Agent Undo feature recovers from destructive AI actions using healthy backup snapshots.
• Three pillars for AI security: define policies, enforce across platforms, enable recovery.
• 2026 will see enterprises shift from pilot agents to managing dozens in production.

Participants:

• Dev Rishi – General Manager of AI, Rubrik

Connect with Rubrik and learn more here: https://www.rubrik.com/lp/events-hub

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Matt Yanchyshyn, AWS Marketplace and Partner Services VP, reveals how AI agents are transforming enterprises worldwide while Atlassian and Netskope leaders share strategies for scaling up Agentic AI marketplace deals.

Topics Include:

• Matt Yanchyshyn of AWS opens with massive shift to multi-agent production systems
• Enterprise software seeing huge AI adoption: 33% will include AI by year end
• Automated agents now handle Matt's daily workflow, prioritizing emails and messages autonomously
• Real business transformation across financial reporting, demand forecasting, and automated incident management
• AWS Marketplace team productivity up 31%, deploying software 27% faster with agents
• New agent mode for Marketplace uses autonomous data collection improving customer experiences
• Success requires proper data governance with fine-grained access controls for safe operations
• Q Developer and Qiro CLI integrate seamlessly into developer workflows without disruption
• AWS maintains 400+ MCP servers, shared spec farms enabling teams to collaborate effectively
• Embedded experts and principal engineers spread agent knowledge and measure productivity closely
• Andy Horwitz notes security leads Marketplace growth, primarily through private offer expansion
• Netskope's new DSPM product addresses AI data security, driving strong customer adoption momentum
• Enterprise customers now ask if vendors are AWS badged, deals 41-58% larger
• Andy advises ISVs: prepare sales teams thoroughly, focus co-sell, secure executive buy-in
• Bill Hustad emphasizes distinct marketplace strategy, seller training, and ruthless operational tracking for success

Participants:

• Bill Hustad - Global Head of Channel and GTM Ecosystems, Atlassian
• Andy Horwitz – SVP, Global Partner Ecosystems, Netskope
• Matt Yanchyshyn – VP, AWS Marketplace & Partner Services, 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/

Raviteja Yelamanchili shares how Scale AI transformed banking cycles from one year to real-time and why your most valuable enterprise data isn't being collected.

Topics Include:

• Scale evolved from data annotations company to enterprise AI solutions provider
• Healthcare system transformed patient transcriptions into value using reinforcement learning research
• Blank slate customer problems allow Scale to experiment with latest methods
• Many customers propose solutions before explaining their actual underlying business problems
• Biggest AI misconception: technology will replace jobs rather than augment productivity
• Don't wait for perfect AI—start learning through iteration and evolution now
• Banking credit cycle transformed from one-year process to real-time strategic insights
• Scale deploys flexibly across EC2, EKS, or Bedrock based on customer requirements
• Enterprises want business value generation more than academic research papers alone
• Next 12-24 months focus: making data consumable and leveraging unused datasets
• Tribal knowledge from experienced SMEs represents most valuable yet uncollected data
• Agent-based learning captures expertise through feedback loops on Scale's SGP platform

Participants:

• Raviteja Yelamanchili - Head of Solution Engineering, Scale AI

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/