One note a month on AI security, from the people building the harness
What went wrong in the world, what it means for your agents, and what we changed because of it. No product announcements.
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What went wrong in the world, what it means for your agents, and what we changed because of it. No product announcements.
AI Governance
Organizations need AI governance and security now more than ever. We're building a platform to make powerful protection accessible to everyone.
Adesh Gairola
Small Hulls, Already Out. A scatter of homemade rafts adrift in mid channel below an empty mooring frame lying bare on the bank.
8 minute read | Best for: CTOs, CISOs, AI leaders
raxIT exists because organizations are adopting AI faster than they are governing it. The central question — how to adopt AI while keeping it secure, governed, and compliant — is no longer a technical problem at the edges of IT. It touches how a business operates, what it is liable for, and what regulators will ask about next.
Organizations are rushing to adopt generative AI without sufficient governance or security measures. The consequences are significant:
Security leaders are raising alarms about this gap. As JPMorgan Chase's CISO Patrick Opet noted in an open letter, AI delivery models are "enabling cyber attackers" and creating "a substantial vulnerability that is weakening the global economic system." Meanwhile, Google's analysis shows threat actors from over 20 countries are already using AI to amplify existing attacks—not creating new ones, just making malicious activities more efficient.
We've seen this pattern before with cloud adoption: security was bolted on after the fact, creating technical debt and vulnerabilities. With AI, the stakes are even higher—these systems make autonomous decisions that directly impact people's lives and businesses.
Projected market size through 2030 (in billions USD)
The demand for AI governance isn't just our observation—it's reflected in market forecasts. According to MarketsandMarkets, the global AI governance market is projected to grow from less than $1 billion today to approximately $8 billion by 2030, at a staggering 45% CAGR.
This growth is driven by three converging factors:
Meanwhile, the broader AI security market is expected to reach over $90 billion by 2030, growing from $25 billion today—one of the fastest-growing segments in enterprise software, according to Grand View Research.
Our team brings decades of collective experience from the security industry. We've spent years in the trenches helping organizations of all sizes strengthen their security posture against increasingly sophisticated threats. Our leadership has guided security teams at major tech companies and Fortune 500 enterprises, witnessing firsthand the evolving challenges at the intersection of AI and cybersecurity.
A pivotal moment for us came during a major zero-day vulnerability crisis that affected systems worldwide. We spent days working non-stop helping customers implement critical fixes. What affected us most wasn't the exhausting hours but meeting dozens of small businesses whose trust and financial stability were compromised through no fault of their own. Many lacked the resources to properly secure their systems against such advanced threats.
That experience cemented our mission: to secure what malicious actors seek to exploit. Now, we're focusing that mission on AI systems.
We believe most people strive to build positive things. Our purpose is to protect that capacity for good by making powerful AI protection accessible to everyone—not just large enterprises with extensive resources.
Central system of record for AI governance
Organizations struggle to track their AI initiatives, leading to duplication and compliance gaps.
AI-powered analysis using NIST framework
Manual risk assessment is a major bottleneck for AI governance at scale.
Autonomous oversight for AI operations
As organizations deploy hundreds of AI models, manual monitoring becomes impossible.
The timing for our platform couldn't be more urgent. Regulatory developments like the EU AI Act will begin enforcement by 2025-2026, imposing stringent requirements that most organizations aren't equipped to handle. Early adopters of generative AI are already encountering significant challenges:
According to Forrester Research, commercial AI governance software spending will see a 30% CAGR from 2024 to 2030, driven by these exact challenges. Organizations that address these issues now will gain significant competitive advantages—reducing risk while accelerating AI adoption. Those that wait will face increasing compliance costs and potential penalties.
At raxIT Labs, our team's security background gives us a unique perspective on the AI governance challenge. We've seen firsthand how security becomes an afterthought in technology adoption cycles—and the painful consequences that follow.
We're building the platform we wish we had during previous technology shifts—one that turns AI aspirations into operational reality by providing end-to-end governance for responsible development and secure deployment.
We're using AI to risk-manage AI. Our agents adopt multiple expert personas to evaluate models, suggest controls, and provide continuous monitoring — so you stay ahead of evolving threats and compliance requirements.
Our approach isn't just about technology—it's about democratizing access to powerful AI protection. We believe security shouldn't be reserved for those with extensive resources, but should be accessible to organizations of all sizes.
The market data confirms what we're seeing on the ground: there's an urgent need for solutions that bridge the gap between AI promise and AI governance reality. As JPMorgan's CISO Patrick Opet aptly put it, the modern service delivery model is "enabling cyber attackers" and creating "a substantial vulnerability that is weakening the global economic system." The time to act is now.
Ready to govern your AI systems? to discuss your specific deployment context and governance needs.
