Ross Haleliuk cuts through the annual noise of the cybersecurity conference circuit to reveal a quiet but seismic shift: the industry is abandoning AI doomsday scenarios in favor of a pragmatic return to operational basics. While the Expo floor buzzes with the usual consolidation chatter, Haleliuk's perspective as a venture-backed founder offers a rare, ground-level view of what security leaders are actually prioritizing over what they are merely fearing.
The End of the AI Panic
Haleliuk's most striking observation is the sudden silence around catastrophic AI narratives. He notes that despite predictions that deepfakes would dominate by 2025, the conversation at the 2026 event was surprisingly grounded. "It hasn't been long since the time when everyone was talking about how 'Deepfakes are going to become every CISO's #1 concern by 2025,' but guess what - it's 2026, and it's safe to say that this has not happened yet." This dismissal of the hype cycle is refreshing, especially given the industry's history of overreacting to emerging threats. The author argues that leaders are no longer paralyzed by abstract fears of AI-driven chaos but are instead focused on tangible, immediate risks like "shadow AI" and the inability to track data usage.
This shift from dread to utility is the article's strongest thread. Haleliuk observes that the tone has flipped entirely: "There was real excitement around how AI could finally help solve problems that have been stuck for decades." He cites the CrowdStrike, AWS, and NVIDIA accelerator, where finalists like Jazz Security are applying AI to data loss prevention—a notoriously difficult, "unsexy" problem that has plagued the sector for years. By connecting this to the broader trend of using AI for identity and vulnerability management, Haleliuk suggests the technology is finally maturing from a buzzword into a practical tool for execution. Critics might argue that this optimism overlooks the genuine risks of AI automating attacks, but the author's point stands: the market is demanding solutions, not just warnings.
"The real competition is not other vendors, it's doing nothing."
The Messaging Renaissance and the Attention Economy
A surprising secondary finding is the improved clarity of startup messaging. Haleliuk admits that for the first time, he could actually understand what companies on the Expo floor were selling. He attributes this to the influence of large language models, which are helping technical founders articulate value propositions more effectively. "LLMs are making it much easier for technical founders to explain why their features matter and what problems they solve," he writes. This is a sharp contrast to the "watered-down" messaging of larger incumbents, where committee-driven approval processes often dilute specific value into vague abstractions like "resiliency at the speed of light."
However, the most critical takeaway is the bottleneck facing the industry: buyer attention. Haleliuk challenges the assumption that budget is the primary constraint. "Most security teams I spoke with aren't actively doing POCs with 10 vendors that solve the same problem. Instead, most of the time they're deciding whether to even prioritize the problem this quarter." This reframing is vital for understanding the current market dynamics; the barrier to entry is no longer just cost, but the sheer cognitive load required to evaluate new tools. This aligns with the broader consolidation trend seen in governance, risk, and compliance, where organizations are increasingly seeking unified platforms rather than point solutions to reduce complexity.
The Return to Fundamentals
The article culminates in a powerful prediction: the industry is swinging back toward the basics. Haleliuk argues that the most effective security strategy is not adding more layers, but rigorously managing what already exists. "Teams are doubling down on asset visibility, tightening identity controls, cleaning up access policies, enforcing least privilege, and getting serious about operational rigor." This echoes the lessons learned from major historical breaches, where simple oversights like default credentials or unpatched vulnerabilities caused far more damage than sophisticated zero-day exploits.
The author posits that AI's true value lies not in replacing engineers, but in enabling them to execute these fundamentals at scale. "Instead of replacing fundamentals or replacing security engineers (good luck with that!), AI is becoming a way to finally execute on the fundamentals at scale." This perspective is a necessary corrective to the narrative that AI will automate the security workforce away. Instead, it empowers teams to close the gaps that have existed for decades. A counterargument worth considering is whether the industry can truly resist the allure of the "next big thing" long enough to fix these boring, foundational issues, but the evidence from the conference suggests a genuine fatigue with tool sprawl.
Bottom Line
Haleliuk's commentary succeeds by stripping away the conference theater to reveal a mature industry focused on execution rather than speculation. The strongest part of the argument is the identification of "doing nothing" as the primary competitor, a reality that forces vendors to prove immediate value rather than future potential. The biggest vulnerability in this outlook is the assumption that organizational inertia can be overcome quickly enough to prevent the next wave of breaches driven by neglected fundamentals. For the busy executive, the takeaway is clear: the next competitive advantage won't come from a new AI tool, but from the disciplined application of the old ones.