AWS for Software Companies Podcast

Latest Episodes:

Ep137: AI Without Borders - Extending analyst capabilities across the modern SOC Aug 27, 2025

Show notes

Gagan Singh of Elastic discuses how agentic AI systems reduce analyst burnout by automatically triaging security alerts, resulting in measurable ROI for organizations

Topics Include:

AI breaks security silos between teams, data, and tools in SOCs
Attackers gain system access; SOC teams have only 40 minutes to detect/contain
Alert overload causes analyst burnout; thousands of low-value alerts overwhelm teams daily
AI inevitable for SOCs to process data, separate false positives from real threats
Agentic systems understand environment, reason through problems, take action without hand-holding
Attack discovery capability reduces hundreds of alerts to 3-4 prioritized threat discoveries
AI provides ROI metrics: processed alerts, filtered noise, hours saved for organizations
RAG (Retrieval Augmented Generation) prevents hallucination by adding enterprise context to LLMs
AWS integration uses SageMaker, Bedrock, Anthropic models with Elasticsearch vector database capabilities
End-to-end LLM observability tracks costs, tokens, invocations, errors, and performance bottlenecks
Junior analysts detect nation-state attacks; teams shift from reactive to proactive security
Future requires balancing costs, data richness, sovereignty, model choice, human-machine collaboration

Participants:

Gagan Singh – Vice President Product Marketing, Elastic

Additional Links:

Elastic – LinkedIn - Website – 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/

Ep136: Rapid7's Journey to an AI First Platform with AWS Aug 25, 2025

Show notes

Pete Rubio reveals how Rapid7 transformed to an AI-first platform that automates security investigations and accelerates results from hours to seconds.

Topics Include:

Pete Rubio introduces Rapid7's journey to becoming an AI-first cybersecurity platform
Cybersecurity teams overwhelmed by growing attack surfaces and constant alert fatigue
Customers needed faster response times, not just more alerts coming faster
Legacy tools created silos requiring manual triage that doesn't scale effectively
AI must turn raw security data into real-time decisions humans can trust
Unified data platform correlates infrastructure, applications, identity, and business context together
Agentic AI automates investigative work, reducing analyst tasks from hours to seconds
Rapid7 evaluated multiple vendors, choosing AWS for performance, cost, and flexibility
Nova models delivered unmatched performance for global scaling at controlled costs
Bedrock provided secure model deployment with governance and data privacy boundaries
AWS partnership enabled co-development and rapid iteration beyond typical vendor relationships
Transparent AI shows customers how models reach conclusions before automated actions
SOC analyst expertise continuously trains models with real-time security intelligence
Governance frameworks and guardrails implemented from day one, not retrofitted later
Future plans include customer AI integration and bring-your-own-model capabilities

Participants:

Pete Rubio – Senior Vice President, Platform & Engineering, Rapid7

Additional Links:

Rapid 7 – LinkedIn - Website – 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/

Ep135: Petabytes and Milliseconds: How Panther scales Security Monitoring with Cloud-Native AI Aug 22, 2025

Show notes

Panther CEO William Lowe explains how integrating Amazon Bedrock AI into their security platform delivered 50% faster alert resolution for enterprise customers while maintaining the trust and control that security practitioners demand.

Topics Include:

Panther CEO explains how Amazon partnership accelerates security outcomes for customers
Cloud-native security platform delivers 100% visibility across enterprise environments at scale
Customers like Dropbox and Coinbase successfully replaced Splunk with Panther's solution
Platform processes petabytes monthly with impressive 2.3-minute average threat detection time
Critical gap identified: alert resolution still takes 8 hours despite fast detection
Security teams overwhelmed by growing attack surfaces and severe talent burnout
Constant context switching across tools creates inefficiency and organizational collaboration problems
AI integration with Amazon Bedrock designed to accelerate security team decision-making
Four trust principles: verifiable actions, secure design, human control, customer data ownership
Results show 50% faster alert triage; future includes Slack integration and automation

Participants:

· William H Lowe – CEO, Panther

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

Ep134: Prime Opportunities for ISVs by Leveraging Generative AI Aug 20, 2025

Show notes

AWS executives reveal how generative AI is fundamentally reshaping ISV business models, from pricing strategies to go-to-market approaches, and provide actionable insights for software companies navigating this transformation.

Topics Include:

Alayna Broaderson and Andy Perkins introduce AWS Infrastructure Partnerships and ISV Sales
Generative AI profoundly changing how ISVs build, deliver and market software products
Two ISV categories emerging: established SaaS companies versus pure gen AI startups
Legacy SaaS firms struggle with infrastructure modernization and potential revenue cannibalization
Pure gen AI companies face scaling challenges, reliability issues and cost optimization
Revenue models shifting from subscription-based to consumption-based pricing per token/prompt/task
Future-proofing architecture critical as technology evolves rapidly like F-35 fighter jets
Data becoming key differentiator, especially domain-specific datasets in healthcare and legal
Balancing cost, accuracy, latency and customer experience creates complex optimization challenges
Multiple specialized models replacing single solutions, with agentic AI accelerating this trend
Human capital challenges include retraining engineering teams and finding expensive AI talent
Security, compliance and explainability now mandatory - no more black box solutions
Enterprise customers struggle with data organization and quantifying clear gen AI ROI
ISV pricing models evolving with tiered structures and targeted vertical use cases
Traditional SaaS playbooks failing in generative AI landscape due to ROI uncertainty
POC-based go-to-market with free trials and case study selling proving most effective
Pricing strategies include AI gates, credit systems and separate SKUs for services
Customer trust requires proactive security messaging and auditable, transparent AI solutions
Modular architecture enables evolution as new technologies emerge in fast-changing market
AWS positioning as ultimate gen AI toolkit partner with ISV collaboration opportunities

Participants:

Alayna Broaderson - Sr Manager, Infrastructure Technology Partnership, Amazon Web Services
Andy Perkins - General Manager, US 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/

Ep133: Enabling Better Customer Experiences with Amazon Q Index w/ PagerDuty and Zoom Aug 18, 2025

Show notes

Hear how PagerDuty and Zoom built successful AI products using Amazon Q-Index to solve real customer problems like incident response and meeting intelligence, while sharing practical lessons from their early adoption journey.

Topics Include:

David Gordon introduces AWS Q-Business partnerships with PagerDuty and Zoom
Meet Everaldo Aguiar: PagerDuty's Applied AI leader with academia and enterprise background
Paul Magnaghi from Zoom brings AI platform scaling experience from Seattle
Q-Business launched over a year ago as managed generative AI service
Platform enables agentic experiences: content discovery, analysis, and process automation
Built on AWS Bedrock with enterprise guardrails and data source integration
Partners wanted backend capabilities but preferred their own UI and models
Q-Index provides vector database functionality for ISV partner integrations
Everaldo explains PagerDuty's evolution from traditional ML to generative AI solutions
Historical challenges: alert fatigue, noise reduction using machine learning approaches
New gen AI opportunities: incident context, relevant data surfacing, automated postmortems
Engineering teams faced learning curve with agents and high-latency user experiences
Paul discusses Zoom's existing AI: virtual backgrounds and voice isolation technology
AI Companion strategy focused on simplicity during complex generative AI adoption
Problem identified: valuable meeting conversations disappear after Zoom calls end
Customer feedback revealed need for enterprise data integration beyond basic summaries
Goal: combine unstructured conversations with structured enterprise data seamlessly
PagerDuty Advanced provides agentic AI for on-call engineers during incidents
Q-Index integration accesses internal documentation: Confluence pages, runbooks, procedures
Demo shows Slack integration pulling relevant incident response documentation automatically
Access control lists ensure users see only data they're authorized to access
Zoom's AI companion panel enables real-time meeting questions and summaries
Example use cases: decision tracking, incident analysis, action item identification
Advice for starting: standardize practices and create internal development templates
Single data access point reduces legal and security evaluation overhead
Center of excellence approach helps teams move quickly across product divisions
Cut through generative AI buzzwords to focus on real user value
Federated AWS Bedrock architecture provides model choice and flexibility meeting customers
Customer trust alignment between Zoom conversations and AWS data handling
Getting started: PagerDuty Advance available now, Zoom AI free with paid add-ons

Participants:

Everaldo Aguiar – Senior Engineering Manager, Applied AI, PagerDuty
Paul Magnaghi – Head of AI & ISV Go To Market, Zoom
David Gordon - Global Business Development, Amazon Q for Business. Amazon Web Services

Further Links:

PagerDuty Website, LinkedIn & AWS Marketplace
Zoom 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/

Ep132: Security vs Productivity – Winning the AI Arms-Race with Teleport and AWS Aug 15, 2025

Show notes

Teleport Co-Founder and CEO Ev Kontsevoy discusses the security vs productivity trade-off that plagues growing companies and how Teleport's trusted computing model protects against the exponential growth of cybersecurity threats.

Topics Include:

Teleport CEO explains how to make infrastructure "nearly unhackable" through trusted computing
Traditional security vs productivity trade-off: high security kills team efficiency
Companies buy every security solution but still get told they're at risk
Why "crown jewels" thinking fails: computers should protect everything at scale
Modern infrastructure has too many access paths to enumerate and secure
Apple's PCC specification shows trusted computing working in real production environments
AI revolutionizes both offensive and defensive cybersecurity capabilities for everyone
80% of companies can't guarantee they've removed all ex-employee access
Identity fragmentation across systems creates anonymous relationships and security gaps
Human error probability grows exponentially as companies scale in three dimensions
Your laptop already demonstrates trusted computing: seamless access without constant logins
Apple ecosystem shows device trust at scale through secure enclaves
AI agents need trusted identities just like humans and machines
AWS marketplace partnership accelerates deals and provides strategic account insights
Hire someone who understands partnership dynamics before starting with AWS
Generative AI will make identity attacks cheaper and faster than ever
Security responsibility shifting from IT teams to platform engineering teams
Teleport's "steady state invariant": infrastructure locked down except during authorized work
Temporary access granted through tickets, then automatically revoked after completion
Legacy systems and IoT devices require extending trust models beyond cloud-native

Participants:

Ev Kontsevoy – Co-Founder and CEO, Teleport

Further Links:

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

Ep131: Preventing Identity Theft at Scale: How DTEX Systems Detects and Disarms Insider Threats with Amazon Bedrock Aug 13, 2025

Show notes

Raj Koo, CTO of DTEX Systems, discusses how their enterprise-grade generative AI platform detects and disarms insider threats and enables them to stay ahead of evolving risks.

Topics Include:

Raj Koo, CTO of DTEX Systems, joins from Adelaide to discuss insider threat detection
DTEX evolved from Adelaide startup to Bay Area headquarters, serving Fortune 500 companies
Company specializes in understanding human behavior and intention behind insider threats
Market shifting beyond cyber indicators to focus on behavioral analysis and detection
Recent case: US citizen sold identity to North Korean DPRK IT workers
Foreign entities used stolen credentials to infiltrate American companies undetected
DTEX's behavioral detection systems helped identify this sophisticated identity theft operation
Generative AI becomes double-edged sword - used by both threat actors and defenders
Bad actors use AI for fake resumes and deepfake interviews
DTEX uses traditional machine learning for risk modeling, GenAI for analyst interpretation
Goal is empowering security analysts to work faster, not replacing human expertise
AWS GenAI Innovation Center helped develop guardrails and usage boundaries for enterprise
Challenge: enterprises must follow rules while hackers operate without ethical constraints
DTEX gains advantage through proprietary datasets unavailable to public AI models
AWS Bedrock partnership enables private, co-located language models for data security
Private preview launched February 2024 with AWS Innovation Center acceleration support
Software leaders should prioritize privacy-by-design from day one of GenAI adoption
Future threat: information sharing shifts from files to AI-powered data queries
Monitoring who asks what questions of AI systems becomes critical security concern
DTEX contributes to OpenSearch development while building vector databases for analysis

Participants:

Rajan Koo – Chief Technology Officer, DTEX Systems

Further Links:

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

Ep130: Agentic AI - Transforming Enterprise Technology with leaders from C3 AI, Resolve AI and Scale AI Aug 11, 2025

Show notes

Enterprise AI leaders from C3 AI, Resolve AI, and Scale AI reveal how Fortune 100 companies are successfully scaling agentic AI from pilots to production and share secrets for successful AI transformation.

Topics Include:

Panel introduces three AI leaders from Resolve AI, C3 AI, and Scale AI
Resolve AI builds autonomous site reliability engineers for production incident response
C3 AI provides full-stack platform for developing enterprise agentic AI workflows
Scale AI helps Fortune 100 companies adopt agents with private data integration
Moving from AI pilots to production requires custom solutions, not shrink-wrap software
Success demands working directly with customers to understand their specific workflows
All enterprise AI solutions need well-curated access to internal data and resources
Software engineering has permanently shifted to agentic coding with no going back
AI agents rapidly improving in reasoning, tool use, and contextual understanding
Industry moving from simple co-pilots to agents solving complex multi-step problems
Spiros coins new concept: evolving from "systems of record" to "systems of knowledge"
Democratized development platforms let enterprises declare their own agent workflows
Semantic business layers enable agents to understand domain-specific enterprise operations
Trust and observability remain major barriers to enterprise agent adoption
Oversight layers essential for agents making longer-horizon autonomous business decisions
Performance tracking and calibration systems needed like MLOps for reasoning chains
CEO-level top-down support required for successful AI transformation initiatives
Traditional per-seat SaaS pricing models completely broken for agentic AI solutions
Industry shifting toward outcome-based and work-completion pricing models instead
Real examples shared: agent collaboration in production engineering and sales automation

Participants:

Nikhil Krishnan – SVP & Chief Technology Officer, Data Science, C3 AI
Spiros Xanthos – Founder and CEO, Resolve AI
Vijay Karunamurthy – Head of Engineering, Product and Design / Field Chief Technology Officer, Scale AI
Andy Perkins – GM, US ISV Sales – Data, Analytics, GenAI, Amazon Web Services

Further Links:

C3 – Website – AWS Marketplace
Resolve AI – Website – AWS Marketplace
Scale AI – Website – 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/

Ep129: Taking Agentic AI Beyond the Prototype w Automation Anywhere Aug 08, 2025

Show notes

Industry leaders from Automation Anywhere and AWS discuss how modern customer data collection has evolved, and practical strategies for implementing enterprise automation at scale.

Topics Include:

Automation Anywhere and AWS experts discuss modern enterprise automation strategies
Traditional profiting strategies may not work with today's changing business models
Customer data collection methods have evolved across multiple platforms significantly
Modern verification processes include automated validation systems and streamlined timelines
Background check automation is increasingly handled by AI-powered models and systems
Stanford's "Wonder Bread" research paper introduced revolutionary enterprise process observation technology
Wonder Bread demonstrated AI systems watching and automatically learning hospital workflows
The technology can author workflows by observing real enterprise processes
Enterprise Process Management built around observed behaviors shows promising results
Verification challenges exist since Wonder Bread research isn't widely publicized yet
Process observation technology could transform how enterprises handle workflow creation
Salesforce Wizard Interface dominates many current automation implementations in enterprises
Salesforce Agent Codes offer alternative approaches to traditional automation methods
AWS platform selection involves careful consideration of enterprise integration needs
Demo implementations showcase real-world timeline expectations and deployment maturity levels
Current automation solutions have reached significant scale across various industries
Workflow automation differs fundamentally from true agentic intelligence systems capabilities
Agentic AI demonstrates autonomous decision-making beyond simple rule-based automation processes
Understanding this distinction helps organizations choose appropriate technology approaches effectively
Session concludes with clarity on modern automation landscape and implementation strategies

Participants:

Pratyush Garikapati – Director of Products, Automation Anywhere
Sreenath Gotur – Snr Generative AI Specialist, Amazon Web Services

Further Links:

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

Ep128: Co-Innovation in the Age of Agentic AI with Mark Relph of AWS Aug 06, 2025

Show notes

AWS's Mark Relph draws fascinating parallels between today's AI revolution and the 1900s agricultural mechanization that delivered 2,000% productivity gains, while exploring how agentic AI will fundamentally reshape every aspect of software business models.

Topics Include:

Mark Relph directs AWS's data and AI partner go-to-market strategy team
His role focuses on making ISV partners a force multiplier for customer success
Previously ran go-to-market for Amazon Bedrock, AWS's fastest growing service ever
Current AI adoption pace exceeds even the early cloud computing boom years
Historical parallel: 1900s agricultural mechanization delivered 2,000% productivity gains and 95% resource reduction
First commercial self-propelled farming equipment revolutionized entire economies and never looked back
500 machines formed the "Harvest Brigade" during WWII, harvesting from Texas to Canada
Mark has spoken to 600+ AWS customers about GenAI over two years
Organizations range from AI pioneers to those still "fending off pirates" internally
GenAI has become a phenomenal assistant within organizations for content and automation
AWS's AI stack has three layers: infrastructure, Bedrock, and applications
Bottom layer provides complete control over training, inference, and custom applications
Middle layer Bedrock serves as the "operating system" for generative AI applications
Top layer offers ready-to-use AI through Q assistants and productivity tools
AI systems are rapidly becoming more complex with multiple model chains
Many current "agents" are just really, really long prompts (Mark's hot take)
Task-specific models are emerging as one size won't fit all use cases
Evolution moves from human-driven AI to agent-assisted to fully autonomous agents
Agent readiness requires APIs that allow software to interact autonomously
Traditional UIs become unnecessary when agents interface directly with systems
Core competencies shift when AI handles the actual "doing" of tasks
Sales and marketing must adapt to agents delivering outcomes autonomously
Go-to-market strategies need complete rethinking for an agentic world
The agentic age is upon us and AWS partners should shape the future

Participants:

Mark Relph – Director – Data & AI Partner Go-To-Market, 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/

Our TOPPODCAST Picks

Follow Us

Stay Connected

AWS for Software Companies Podcast

Related Podcasts

Links

Stay Connected