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AWS for Software Companies Podcast

AWS for Software Companies Podcast

By: Amazon Web Services
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Stay current on new cloud trends. Top software companies, respected industry analysts, and experienced consultants join Amazon Web Services leaders to talk about the cloud topics that matter to you—including the latest in AI, migration, Software-as-a-Service, and more. We produce new episodes regularly.

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Episodes
  • Ep132: Security vs Productivity – Winning the AI Arms-Race with Teleport and AWS

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

    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:

    • Teleport Website
    • Teleport 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/
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    32 mins
  • Ep131: Preventing Identity Theft at Scale: How DTEX Systems Detects and Disarms Insider Threats with Amazon Bedrock

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

    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:

    • DTEX Systems Website
    • DTEX Systems 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/
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    15 mins
  • Ep130: Agentic AI - Transforming Enterprise Technology with leaders from C3 AI, Resolve AI and Scale AI

    Ep130: Agentic AI - Transforming Enterprise Technology with leaders from C3 AI, Resolve AI and Scale AI
    Aug 11 2025
    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 AIResolve AI builds autonomous site reliability engineers for production incident responseC3 AI provides full-stack platform for developing enterprise agentic AI workflowsScale AI helps Fortune 100 companies adopt agents with private data integrationMoving from AI pilots to production requires custom solutions, not shrink-wrap softwareSuccess demands working directly with customers to understand their specific workflowsAll enterprise AI solutions need well-curated access to internal data and resourcesSoftware engineering has permanently shifted to agentic coding with no going backAI agents rapidly improving in reasoning, tool use, and contextual understandingIndustry moving from simple co-pilots to agents solving complex multi-step problemsSpiros coins new concept: evolving from "systems of record" to "systems of knowledge"Democratized development platforms let enterprises declare their own agent workflowsSemantic business layers enable agents to understand domain-specific enterprise operationsTrust and observability remain major barriers to enterprise agent adoptionOversight layers essential for agents making longer-horizon autonomous business decisionsPerformance tracking and calibration systems needed like MLOps for reasoning chainsCEO-level top-down support required for successful AI transformation initiativesTraditional per-seat SaaS pricing models completely broken for agentic AI solutionsIndustry shifting toward outcome-based and work-completion pricing models insteadReal examples shared: agent collaboration in production engineering and sales automationParticipants:Nikhil Krishnan – SVP & Chief Technology Officer, Data Science, C3 AISpiros Xanthos – Founder and CEO, Resolve AIVijay Karunamurthy – Head of Engineering, Product and Design / Field Chief Technology Officer, Scale AIAndy Perkins – GM, US ISV Sales – Data, Analytics, GenAI, Amazon Web ServicesFurther Links:C3 – Website – AWS MarketplaceResolve AI – Website – AWS MarketplaceScale AI – Website – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
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    31 mins
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