SPIRL

Big news! SPIRL is a triple winner in the 2025 Cybersecurity Excellence Awards! We’re honored to be recognized in three key categories: ?? Best Cybersecurity Startup ?? Workload Identity ?? Chief Executive Officer of the Year At SPIRL, we believe machine identity security should be seamless, scalable, and built for the modern enterprise—eliminating static credentials, service accounts, and complex secrets management. This recognition reinforces our commitment to delivering real security solutions that help organizations innovate without compromise. Thank you to our incredible team, customers, and partners for being part of this journey! ?? Read more about what sets SPIRL apart: https://lnkd.in/gJyA87vy #Cybersecurity #MachineIdentity #SPIRL #ZeroTrust #CyberSecurityExcellenceAwards

Secrets alone aren’t enough. Snowflake’s security shift proves it. Their shift signals a broader trend: cloud security is evolving—and businesses need to keep up. At SPIRL, we’re focused on helping companies move beyond traditional security models that rely solely on secrets. It’s time to embrace continuous security and adaptive protection. In our latest blog, Marcel Levy breaks down Snowflake’s changes and what they mean for the future of securing cloud environments. ?? Read the "Lessons from the Snowflake Breach: Moving Past the Age of Secrets" to learn what it means for your security posture. See blog link in first comment #CyberSecurity #CloudSecurity #SPIRL #Snowflake #BeyondSecrets

?? AI agents are getting smarter—but can they really be trusted? For example, AI calendar scheduling tools can be a great help… until they mess up. Now imagine an attacker slipping a malware link into a calendar invite. ?? SPIRL's Marcel Levy recently interviewed Pieter Kasselman on this topic. He dives into this major, still unsolved challenge: How do we know an AI agent is secure? Was it trained on trustworthy data? Has it been tampered with? And how can users tell if they’re interacting with a legitimate model? As AI becomes embedded in more tools and devices, security and transparency can’t be afterthoughts. For more from Pieter on this topic, you can also check out his recent blog. See link in first comment. #AI #Cybersecurity #AIAgents #TrustInAI? #MachineIdentity

The Machine Identity crisis Is real—and it's growing. Did you know the average enterprise manages up to 45x more secrets for machines than for humans? As machine / non-human identities continue to grow, so does the risk of breaches due to compromised credentials. In Marcel Levy's latest blog, he dives into the real cost of secret sprawl and how it leads to future outages. From Amazon's "Don't break prod" mentality to the growing need for secure, scalable identity management solutions like SPIFFE and SPIRL, he explains why we need to rethink how we manage secrets before they break our systems. ??See first comment for link to the blog #Cybersecurity #DevOps #SecretManagement #SPIFFE #IAM #MachineIdentity #NonHumanIdentities #CloudSecurity

Identity security experts from industry and academia will be at the #OAuth Security Workshop this week. If you're there, be sure to connect with SPIRL's own Pieter Kasselman. He'll be there sharing insights about new patterns for distributed machine + workload identities and how the evolution of standards ensure that the compute infrastructure of the world is secure, easy to deploy, and widely embraced. https://hubs.li/Q0380QKn0 #OSW2025 #machineidentity

The Path to Securing AI: Start with What We Know. AI security isn’t just about protecting models—it starts with securing workload identity. As AI adoption skyrockets, the attack surface is expanding. But while many security teams focus on model integrity and data protection, there’s a critical blind spot: workload identity. In his latest blog, SPIRL's Pieter Kasselman dives into why workload identity is the foundation of AI security. The solution begins with tools we already have. By following St. Francis's wisdom: 1. Do what's necessary: Implement AI workload identity using standards like SPIFFE 2. Do what's possible: Apply existing fine-grained authorization systems 3. Do the impossible: Scale these solutions for AI's unique behaviors We don't need to reinvent security. Instead, we build on proven foundations, while acknowledging AI's special characteristics. Read the blog - See link in first comment. #AISecurity #Identity #ZeroTrust #SPIFFE #LLM #WorkloadIdentity #Cybersecurity #AI

What’s Riskier? A) Throwing a Hail Mary with 5 seconds left B) Running workloads without machine identity protection Both are high-risk moves. One risks a championship. The other risks your company’s future. ???? #SuperBowl #Cybersecurity" #MachineIdentity #SPIRL #HighStakes

Just like a quarterback trusts his spiral to hit the mark, businesses trust SPIRL to keep their workloads and production environment secure. Don’t fumble your machine identity security! ???? #SuperBowl #SPIRL #SecureYourWorkloads

OWASP's "Non-Human Identities Top 10" list reflects outdated industry practices. Learn how modern NHI providers using open standards mitigate or eliminate 80% of these security risks: https://hubs.ly/Q032Y3br0

The message was clear! Organizations need better solutions for managing identities across multi-cloud environments, especially as AI initiatives drive infrastructure complexity. At least, that's what we took away from KubeCon + CloudNativeCon North America 2024 in Salt Lake City. Highlights from our week: 1. A lively Q&A session for "SPIFFE Deployments in Non-Kubernetes Environments" 2. Engaging conversations at the SPIFFE booth about workload identity challenges 3. Historic first gathering of all SPIRE maintainers Thank you to everyone who stopped by to discuss the future of cloud-neutral workload identity. The energy and engagement at showed us that we're on the right track. #KubeCon #CloudNativeCon https://buff.ly/40Z1Zec