Cribl’s Field CISO Ed Bailey discusses how customers can manage the quality and quantity of data by providing intelligent controls between data sources and destinations.

Topics Include:

• Cribl company name origin
• Company helps organizations screen data to find valuable insights
• Ed Bailey was Cribl's first customer back in 2018
• Data growth of 25% yearly created seven-figure cost increases
• CEOs and CIOs complained about explosive data storage costs
• Users demanded more data while budgets remained constrained
• Bailey discovered Cribl through a random Facebook advertisement
• Cribl Stream sits between data sources and destinations
• No new agents required, uses existing infrastructure connections
• Reduced data growth from 28% to 8% within year
• Development cycles shortened from six weeks to two weeks
• Bailey managed global security and telemetry data systems
• Operated large Splunk instance across forty different countries
• Team spent time collecting data instead of extracting value
• Cribl provided consistent data control plane for operations
• Smart engineers could focus on machine learning solutions
• Migrated from terrible SIEM to better security platform
• Data strategy should focus on business requirements first
• Not all data has the same business value
• Tier one: Critical data goes to expensive platforms
• Tier two: Important data stored in cheaper lakes
• Tier three: Compliance data in low-cost object storage
• SIEM costs around one dollar per gigabyte stored
• Data lakes cost twelve to eighteen cents per gigabyte
• Object storage costs fractions of pennies per gigabyte
• AWS partnership provides scalable infrastructure for rapid growth
• EC2, EKS, and S3 are heavily utilized services
• Cribl Search finds data directly in object storage
• Avoids costly data movement for search and analysis

Participants:

• Edward Bailey – Field CISO, Cribl

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Saviynt Co-Founder Amit Saha discusses how their AWS partnership has enabled the identity security company to deliver comprehensive identity protection while minimizing organizational friction.

Topics Include:

• Saviynt is leading identity security provider in market
• Secures human, non-human, workforce, and privileged access identities
• Eliminates friction while automating organizational access management processes
• Biggest challenge: reducing friction in new access processes
• Second challenge: visibility into accumulated technical debt problems
• Lost business context makes access permissions difficult to unwind
• Saviynt provides quick visibility to prioritize identity risks
• Shadow IT creates ungoverned workloads and cloud applications
• Need integration with asset management and cloud providers
• Must derive intelligence from multiple disconnected information sources
• AWS partnership provides access to prolific customer base
• AWS security owners are same buyers for Saviynt
• Eleven-year AWS relationship with early security competency
• ISV Accelerate program connects with sellers and architects
• Rising Star program helps stand out in crowded marketplace
• Find mutual customers for successful AWS partnership stories
• GenAI in bad actors' hands compromises customer security
• Product engineering uses GenAI tools for better quality
• Agentic AI creates new paradigm between human/non-human identities
• Agentic AI requires dynamic, fluid access management approaches
• AI agents can generate their own bots needing access
• Zero trust principles needed at broader scale for AI
• Next twelve months: getting ahead of GenAI curve
• New AWS services launch daily in GenAI space
• Contributing to new standards like MCP and A2A protocols
• AWS Marketplace simplifies procurement and buyer discovery processes
• EDP program and migration incentives benefit ISV transactions
• AWS developer-friendly startup programs accelerate time to market
• Cloud-native approach enables predictable scaling and AWS integration
• AWS-Saviynt partnership aims for once-in-generation security impact

Participants:

• Amit Saha – Co-Founder and Chief Growth Officer, Saviynt

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

Chief Architect Russell Leighton discusses how Panther's cloud platform revolutionizes security operations by treating detections as Python code and AI enabled alert vetting turning responses from hours into minutes.

Topics Include:

• Panther is a cloud security monitoring tool (cloud SIEM)
• Works at massive scale, more cost-effective than legacy systems
• Key differentiator: "detections as code" written in Python
• Brings software engineering best practices to security operations
• Enables unit testing and version control for security detections
• Recently adopted generative AI to improve security workflows
• SOC burnout is renowned due to tedious ticket processing
• AI has intelligence of security engineer, works much faster
• Example: Alert shows "Russ Leighton removed branch protection"
• Old way: Manual log analysis, checking user profiles manually
• Takes hours of squinting at detailed log data
• New AI way: Automatic vetting happens in minutes
• AI checks user profile in Okta or IDP
• Determines engineer status, assesses typical behavior patterns
• Provides risk assessment based on historical alert data
• Low risk for engineers, high risk for unusual users
• Example: HR person accessing production code is escalated
• Customer quote: Takes vetting "from hours to seconds"
• Panther customers get dedicated AWS accounts for security
• Company can't see customer data, only self-reported metrics
• AI provides summaries, risk assessments, timelines, visualizations
• Also suggests remediations like human security engineer would
• Initial concerns about putting AI in production environment
• Customer feedback exceeded expectations with feature requests
• AWS Bedrock integration addresses customer security concerns
• Uses Anthropic Claude as base LLM through Bedrock
• Customers can enable additional Bedrock guardrails independently
• AI transparency prevents hallucination concerns through explanations
• Claude's extended thinking mode shows reasoning process
• AI visualizes thinking with flowcharts explaining decision process

Participants:

• Russell Leighton – Chief Architect, Panther

Further Links:

• Website: Panther.com
• 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/