Pillar Security Raises $9M to Redefine AI Application Security
Pillar Security, a cybersecurity startup focused on artificial intelligence (AI), has raised $9 million in seed funding. The funding will boost research and development efforts as well as its go-to-market strategy.
The company addresses new AI-specific risks emerging with intelligent and autonomous systems. These include threats like evasion attacks, data poisoning, and data privacy violations.
CEO and co-founder Dor Sarig said Pillar Security was built for a world where software acts autonomously and data is executable. He emphasized that traditional security methods no longer suffice. A new class of protection is necessary for today’s AI-driven software systems.
Also read: Adaptive Security Raises $43 Million to Combat AI-Powered Social Engineering Threats
https://ngainews.com/article/adaptive-security-raises-43-million-to-combat-ai-powered-social-engineering-threats
A New Approach to Application Security
Pillar’s platform maps AI related assets across an organization’s tech stack. It also tests machine learning models and deploys real-time guardrails. These features work together to reduce AI-related security failures.
The solution integrates seamlessly with existing code repositories, data infrastructures, and machine learning platforms. This allows businesses to identify vulnerabilities and respond before threats escalate.
Unlike conventional tools, Pillar is built with agentic AI in mind. Agentic AI systems can act independently and make real-time decisions. As such, the risk landscape is broader and constantly changing.
Growing Enterprise Adoption of AI Security Tools
Investor Elias Manousos, from Shield Capital, said the threat surface is expanding. He noted that Pillar offers more than incremental improvements. Their platform brings a visionary approach to securing intelligent systems.
As AI agents become more common in enterprise software, companies need specialized solutions. A recent study showed 55% of chief operating officers now use AI-based cybersecurity tools.
Businesses adopting AI must assess risks tied to automation, data access, and decision-making autonomy. Tools like Pillar Security are becoming essential to safely harness AI's power.
