ISV leaders from Automation Anywhere, DataVisor, and Sumo Logic share battle-tested strategies for deploying AI agents at scale, including pricing models, proof of concepts and ROI.

Topics Include:

• Panel brings together ISV leaders from automation, fraud detection, and security operations.
• Companies rethinking entire business processes rather than automating incremental portions with agents.
• Start with immutable data before tackling real-time changing data in production.
• Intent for change must come from board, CEO, and customers simultaneously.
• Challenge: proving agent value beyond CSAT when internal teams block deployment.
• Sumo Logic measures Mean Time to Resolution, aiming to cut hours to zero.
• DataVisor cuts fraud alert resolution from one hour down to twenty minutes.
• Customers demand reliability as workflows shift from deterministic to probabilistic agent decisions.
• Automation Anywhere spent three years making every platform component fully agent-ready.
• Focus on business outcomes, not chasing every new model release each week.
• Human oversight still critical—agents are task-oriented and prone to hallucinations and drift.
• Humans validate agent findings, then let agents scale actions across hundreds instances.
• Pricing experiments range from platform-plus-consumption to outcome-based to decision-event models.
• Token pricing doesn't work due to varied data modalities and complexity.
• Next two quarters: more POCs moving to production with productive agents deployed.
• Future prediction: enterprise apps becoming systems of knowledge powered by MCP protocol.

Participants:

• Jay Bala - Senior Vice President of Product, Automation Anywhere
• Kedar Toraskar – VP Product Partnerships, DataVisor
• Bill Peterson - Senior Director, Product Marketing, Sumo Logic
• Jillian D'Arcy - ISV Senior Leader, 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/

Learn how Coveo automated LLM migration like a "mind transplant," building frameworks to optimize prompts and maintain quality across model changes.

Topics Include:

• AWS and Coveo discuss their Gen-AI innovation using Amazon Bedrock and Nova.
• Coveo faced multi-cloud complexity, data residency requirements, and rising AI costs.
• Coveo indexes enterprise content across hundreds of sources while maintaining security permissions.
• The platform powers search, generative answers, and AI agents across commerce and support.
• CRGA is Coveo's fully managed RAG solution deployed in days, not months.
• Customers see 20-30% case reduction; SAP Concur saves €8 million annually.
• Original architecture used GPT on Azure; migration targeted Nova Lite on Bedrock.
• Infrastructure setup involved guardrails and load testing for 70 billion monthly tokens.
• Migrating LLMs is like a "mind transplant"—prompts must be completely re-optimized.
• Coveo built automated evaluation framework testing 20+ behaviors with each system change.
• Nova Lite improved answer accuracy, reduced hallucinations, and matched GPT-4o Mini performance.
• Migration simplified governance, enabled regional compliance, reduced latency, and lowered costs.

Participants:

• Sebastien Paquet – Vice President, AI Strategy, Coveo
• Yanick Houngbedji – Solutions Architect Canada ISV, 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/

Dion Hinchcliffe, Vice President of CIO Practice at Futurum Group, reveals how EMEA software companies can turn Europe's regulatory rigor into a competitive superpower while navigating AI adoption and cloud transformation challenges.

Topics Include:

• AWS surveyed 750+ EMEA software companies to understand their growth challenges.
• European tech firms lag US counterparts but AI presents catch-up opportunity.
• EMEA companies prioritize data sovereignty and privacy over rapid cloud adoption.
• Tier-2 local cloud providers often lack capabilities needed for global scaling.
• Cloud-native companies show faster growth and innovation than traditional competitors.
• Best practices for cloud architecture now well-established across major platforms.
• CEOs lead AI transformation; 100% of tracked companies using AI substantially.
• Software companies report 80% of customers now requesting AI capabilities.
• IT talent shortage requires solutions needing minimal specialized skills to deploy.
• ERP modernization accelerating as cloud-native systems offer superior capabilities.
• Europe's regulatory rigor becomes competitive advantage in trustworthy technology.
• AI adoption continues at light speed; quantum computing emerges within five years.

Participants:

• Dion Hinchcliffe - Vice President of CIO Practice, Futurum Group
• Massimo Ghislandi – Head of EMEA Marketing for Software Companies, 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/

Experienced CISOs from MongoDB and Gusto reveal proven frameworks for translating complex cybersecurity metrics into board-friendly presentations that drive decision-making.

Topics Include:

• Security leaders discuss challenges of presenting technical cybersecurity topics to boards
• MongoDB CISO presents three times in six months, Gusto director five times
• Three-angle metrics framework: environmental threats, prevention quality, and detection/response speed capabilities
• Board members switch contexts frequently, requiring extensive education and simplified heat maps
• Repeatable presentation models help board members follow consistent data across meetings
• Audit committees get different depth than general board updates on programs
• New technologies like AI require educating boards on risks versus opportunities
• Foundational security principles like zero trust remain constant regardless of technology
• Security buzzwords need translation appendices since board members forget technical definitions
• Financial services background helps translate cyber risks into dollar amounts boards understand
• Third-party penetration testing provides independent validation but requires vendor rotation strategies
• Limited 30-minute board time means trusting security leaders' vendor diligence decisions
• First-time CISOs should educate on threat landscape then tailor strategy to company
• Balance discussing shiny new technologies with essential foundational security blocking and tackling
• AI implementation spans customer features, infrastructure security, and augmenting security capabilities internally

Participants:

• Sean Josephson - Sr. Director of Information Security, Gusto
• Julien Soriano – Sr. Vice President, CISO, MongoDB
• Gee Rittenhouse - Vice President, Security Services, Amazon Web Services

Further Links:

• Gusto: Website – LinkedIn
• MongoDB: Website – LinkedIn – AWS Marketplace

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

John Skinner of Vectra AI shares how cyber attackers are democratizing sophisticated attacks using dark web tools, and why AI-powered hybrid defense is now essential for enterprise security.

Topics Include:

• Vectra AI: 13-year-old cybersecurity company founded as "AI native" from day one
• Built on machine learning assumption while competitors treated AI as afterthought
• Generative AI represents the latest evolution in their comprehensive AI journey
• Started pairing threat researchers with ML developers to codify attack behaviors
• Added agentic AI in 2018 for correlation across space and time
• Uses AWS Security Lake, GuardDuty, and recently became AWS Bedrock customer
• Success measured by reducing "dwell time" from initial attack to detection
• Achieved 60% faster alerts, 51% faster monitoring, 50% faster investigation times
• Customers should evaluate vendor's data science quality and algorithm training years
• Evolved hybrid defense approach as attacks start anywhere, go everywhere
• AI handles high-volume correlation while humans focus on analytical decisions
• Future challenge: democratized cyber attacks using readily available dark web tools

Participants:

• John Skinner – Vice President Corporate/Business Development, Vectra AI

Further Links:

• Vectra AI: Website – LinkedIn – AWS Marketplace - YouTube

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

Vice President of Engineering James Musson reveals how Lucanet integrated multiple acquired solutions into a unified platform, achieving 3-month integration timelines while serving 6,000+ customers.

Topics Include:

• Lucanet evolved from financial consolidation tool to comprehensive CFO solution platform
• Platform covers consolidation, planning, ESG reporting, tax compliance, and cash management
• Three key differentiators: easy to use, fast time-to-value, innovative AI features
• AI-powered XBRL tagging reduces days of manual work to minutes with 90% accuracy
• Complex challenge: integrating multiple acquired tech stacks with cloud-native platform development
• Built micro front-end architecture and platform services for seamless user experience
• Custom control plane automates customer onboarding and manages rolling upgrades safely
• Latest acquisition integrated into platform within three months, unprecedented speed
• Strong company culture focuses on innovation, hackathons, and continuous learning
• AI bootcamps and tech lunch sessions keep 6,000+ customer engineering teams engaged
• Balances AI innovation with regulatory compliance using deterministic core processes
• Heavy AWS adoption with serverless technologies handles peaky financial reporting workloads

Participants:

• James Musson – Vice President, Engineering, Lucanet

Further Links:

• Lucanet: Website – LinkedIn

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

Learn how Trellix transformed into a cloud-first security leader through strategic AWS partnership, generating $500M+ pipeline and winning major enterprise deals like Airbus.

Topics Include:

• Trellix's transformation: From legacy McAfee/FireEye to cloud-first cybersecurity solutions with AWS
• Partnership lessons: How AWS enabled 27-year-old ePolicy Orchestrator's successful cloud migration journey
• Legacy transition advice: Embrace innovation, don't follow the "Sears model" of resisting change
• AI go-to-market strategy: Dev days, marketplace usage, and Bedrock/Nova integrations driving customer adoption
• Customer AI concerns: Addressing data security fears and proving AI doesn't train on customer data
• Integration philosophy: XDR connects with AWS native services and even competitor tools seamlessly
• $12M Airbus win: Six-country enterprise deal showcasing collaborative sales across AWS teams and marketplace
• Future opportunities: AI-powered threat detection innovations and $500M+ pipeline through AWS marketplace

Participants:

• Taylor Mullins - Sr. Solutions Architect, Trellix
• Brian Shadpour - General Manager, Security B2B Software Sales, Amazon Web Services

Further Links:

• Trellix: Website – LinkedIn – AWS Marketplace

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

Security leaders from CyberArk, Fortra, and Sysdig share actionable strategies for securely implementing generative AI and reveal real-world insights on data protection and agent management.

Topics Include:

• Panel explores practical security approaches for GenAI from prototype to production
• Three-phase framework discussed: planning, pre-production, and production security considerations
• Security must be built-in from start - data foundation is critical
• Understanding data location, usage, transformation, and regulatory requirements is essential
• Fortra's security conglomerate approach integrates with AWS native tools and partners
• Machine data initially easier for compliance - no PII or HIPAA concerns
• Identity paradigm shift: agents can dynamically take human and non-human roles
• 97% of organizations using AI tools lack identity and access policies
• Security responsibility increases as you move up the customization stack
• OWASP Top 10 for GenAI addresses prompt injection and data poisoning
• Rigorous model testing including adversarial attacks before deployment is crucial
• Sysdig spent 6-9 months stress testing their agent before production release
• Tension exists between moving fast and implementing proper security controls
• Different security approaches needed based on data sensitivity and model usage
• Zero-standing privilege and intent-based policies critical for agent management
• Multi-agent systems create "Internet of Agents" with exponentially multiplying risks
• Discovery challenge: finding where GenAI is running across enterprise environments
• API security and gateway protection becoming critical with acceptable latency
• Top customer need: translating written AI policies into actionable controls
• Threat modeling should focus on impact rather than just vulnerability severity

Participants:

• Prashant Tyagi - Go-To-Market Identity Security Technology Strategy Lead, CyberArk
• Mike Reed – Field CISO, Cloud Security & AI, Fortra
• Zaher Hulays – Vice President Strategic Partnerships, Sysdig
• Matthew Girdharry - WW Leader for Observability & Security Partnerships, Amazon Web Services

Further Links:

• CyberArk: Website – LinkedIn – AWS Marketplace
• Fortra: Website – LinkedIn – AWS Marketplace
• Sysdig: Website – LinkedIn – AWS Marketplace

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

Brian Mendenhall, Worldwide Head, Security & Identity Partner Specialists of Amazon Web Services, reveals the insider framework for transforming enterprise AI security, including the three-pillar approach and partnership strategies that leading companies use to navigate AI governance challenges.

Topics Include:

• At AWS everything starts with security as core principle
• Consulting partners follow three-phase model: assess, remediate, then fully manage security
• Traditional security framework covers threat detection, incident response, and data protection
• AI compliance spans multiple governance bodies with stacking requirements and regulations
• EU AI Act affects any company globally if Europeans access their applications
• Three pillars: security OF AI, AI FOR security, security FROM AI attacks
• AWS launches AI security competency program with specialized partner categories and certifications
• Enterprise AI spans five risk levels from consumer apps to self-trained models
• Legal liability dramatically increases as you move toward custom AI implementations
• Safety means preventing harm; security means preventing breaches - both critical distinctions
• Current AI hallucination rates hit 65-75% across major platforms like Palantir
• Shared responsibility model determines who's liable when AI security tools fail
• Industry evolution progresses from machine learning to generative AI to autonomous agents
• Major prototype-to-production gap caused by governance, security, and scalability challenges
• Successful AWS partnerships require clear use cases, differentiation, and targeted go-to-market strategy

Participants:

• Brian Mendenhall - WW Head, Security & Identity Partner Specialists, 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/

Caitlin Anderson, Intel's Americas Sales GM shares which industries are leading AI adoption, where the biggest untapped opportunities lie, and why AI spending is expected to double by 2028. With special guest Piyush Sharrma of Tuskira.ai

Topics Include:

• Caitlin Anderson discusses Intel-AWS partnership and generative AI trends accelerating business
• Intel's AI journey spans decades: analytics since 1980s, natural language processing 2000s
• Computer vision remains major use case from edge computing to data centers
• Generative AI and AI agents are the latest wave, with agents collaborating together
• Intel uses AI internally for manufacturing automation in highly sensitive fab environments
• Robotics and AI optimize quality control, system monitoring, and technician productivity
• AI spending growth spans all industries, with significant acceleration expected through 2028
• Software services, healthcare, and financial services lead current AI adoption and experimentation
• Education, government, retail, and energy represent major untapped growth opportunities ahead
• Intel-AWS partnership spans 20 years, featuring custom silicon and broad CPU portfolio
• Tuskira CEO Piyush Sharrma explains cybersecurity "perfect storm" where attackers weaponize same AI tools
• Success requires ecosystem partnerships - no single company can solve complex AI challenges

Participants:

• Caitlin Anderson - Corporate Vice President, GM Americas Sales, Intel
• Piyush Sharrma – CEO and Co-Founder, Tuskira.ai

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