Israel-based cybersecurity firm’s Pillar Security secured $9 million in Seed funding, led by Shield Capital, with participation from Golden Ventures, Ground Up Ventures, and esteemed strategic angels.
They’re incredibly proud to partner with investors who possess profound cybersecurity, threat intelligence, and AI expertise—and who share their conviction that securing the AI software lifecycle demands an entirely new, foundational paradigm.
Securing Software in the Intelligence Age
they’re entering one of the most profound transformations in technology history. Just as the internet reshaped communication and cloud computing revolutionized how businesses operate, artificial intelligence is rapidly becoming the central nervous system of modern software. This marks a time in which software is transitioning from executing predictable logic to possessing intelligent agency.
This isn’t just an evolution but a fundamental redefinition of what software is and what it can do. But as software gains this incredible agency, moving from predictable logic to intelligent action, a critical question emerges — one that echoes in every conversation we have: How do we ensure this powerful future is also a secure one?
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Every day, we talk to brilliant teams building the future with AI. Their excitement is palpable. They’re creating applications that were science fiction just a few years ago.
But beneath the excitement, there’s a shared undercurrent of uncertainty and worry. How do we harness these complex, dynamic systems without losing control? How do we build and maintain trust in software that learns and acts on its own?
If AI truly is the new electricity, as many believe, powering the next wave of innovation, then ensuring its safety, reliability, and trustworthiness isn’t just a feature — it’s foundational. It’s the bedrock upon which this entire revolution must be built.
The Security Gap
For years, we’ve relied on a solid, deterministic approach to application security: the DevSecOps loop. Tools like SAST, DAST, WAFs, SCA – they’ve served us well for software that followed predictable rules. We could test, check, and verify.
But AI doesn’t play by these old rules. It’s not just another layer on the stack; it introduces an entirely new lifecycle. AI agents learn, evolve, and change in production.
Their outputs aren’t always predictable. This inherent dynamism and excessive agency create unique risks — vulnerabilities such as sensitive data leakage, prompt injection, and resource hijacking — that traditional tools simply weren’t designed to see, let alone mitigate.
They believe that for AI innovation to truly thrive, security must be an enabling force, not a barrier. It needs to be foundational, seamlessly integrated across the entire AI journey.
That’s why Pillar delivers one unified platform to continuously identify, assess, and mitigate AI security risks, spanning the full lifecycle from development, experimentation and testing through to real-time production monitoring, detection and response.
About Pillar Security
Pillar Security empowers organizations to safely develop, deploy, and scale AI solutions by securing the entire AI lifecycle—from development to production. Their platform adapts to any infrastructure, supporting model-agnostic, self-hosted, and cloud deployments, as well as integration with leading foundation model providers.
With runtime guardrails and automated red teaming capabilities, Pillar proactively identifies and mitigates AI-specific threats, providing continuous protection and robust governance over AI-powered applications.
