Ptechhub
  • News
  • Industries
    • Enterprise IT
    • AI & ML
    • Cybersecurity
    • Finance
    • Telco
  • Brand Hub
    • Lifesight
  • Blogs
No Result
View All Result
  • News
  • Industries
    • Enterprise IT
    • AI & ML
    • Cybersecurity
    • Finance
    • Telco
  • Brand Hub
    • Lifesight
  • Blogs
No Result
View All Result
PtechHub
No Result
View All Result

The AI Velocity Paradox: Why Security Is Decades Behind AI Ambition

The Hacker News by The Hacker News
October 9, 2026
Home Cybersecurity
Share on FacebookShare on Twitter


The Hacker NewsOct 09, 2026Identity Security / Artificial Intelligence

As enterprises race to deploy autonomous AI agents to accelerate business, a new report reveals they are tethered to security architectures built for a different era. The “Horizons of Identity Security” report from SailPoint highlights a critical “velocity paradox,” in which organizations invest in AI-speed business operations while continuing to rely on human-speed security controls, creating a structural failure that legacy approaches cannot solve.

The data shows that while businesses have spent years maturing their identity programs for human employees, those same playbooks are fundamentally broken when applied to the ephemeral, autonomous, and rapidly multiplying world of non-human AI agents.

A Market Stalled at the Starting Line

Despite years of investment in identity and access management, the market’s overall security maturity has hit a wall. According to the report, the center of gravity remains firmly planted in the foundational stages, with a combined 60% of organizations still in Horizon 1 (“No Formal Program”) or Horizon 2 (“Manual, Tool-Assisted”).

The multi-year persistence of this trend reveals a critical insight: the problem isn’t a lack of effort, but an architectural ceiling. The operational playbooks built to govern human employees may not scale effectively to govern autonomous agents executing thousands of transactions per minute.

A Tale of Two Maturities: The Human vs. Non-Human Divide

The paradox becomes clearer when looking at the stark division between the maturity of human and non-human identity security. The report’s data reveals two entirely different timelines.

  • Human Identity is Maturing: For human workforces, security programs are progressing. Five years ago, 45% of organizations were at the lowest maturity level (Horizon 1). Today, that number has been cut nearly in half to 23%.
  • Agent Identity is Lagging Dramatically: The opposite is true for non-human and AI agent identities. Today, 54% of organizations sit at Horizon 1 for agent identity security—a worse starting point than for human security five years ago.

This disconnect shows that even organizations with strong capabilities for managing human access are struggling to extend those same standards to cloud workloads and agentic environments. It is a coverage gap, not a competence gap.

Why Old Security Playbooks Fail in the Agentic Era

The core of the velocity paradox is that processes designed for people do not work for machines. The report identifies key structural dynamics that cause this failure:

  • The “Digitization Trap”: Organizations in the middle-maturity tiers have successfully digitized human-centric processes like employee onboarding and periodic access reviews. However, applying these same scheduled review cycles to ephemeral machine identities—which may exist for only minutes or seconds—creates severe operational drag and is functionally useless.
  • The Pivot to Machine-Speed Trust: Breaking into the upper horizons of maturity requires a fundamental paradigm shift. Advanced organizations have moved away from manual, ticket-based access decisions. They have replaced standing privileges with continuous, contextual, and automated policy enforcement that operates at machine speed.

The False Compromise: “Balance” Is Not a Strategy

When faced with the conflict between moving fast and staying secure, nearly half of the market (49%) claims to “balance both equally.” However, the report’s data suggests this is a false compromise.

A stated posture of “balance” without the underlying operational capability to enforce it is not a strategy; it is a stall. Organizations are caught in the paradox: They have an AI-speed ambition but a human-speed foundation, leaving them unable to move decisively. This is where most of the market currently sits, waiting for an architectural shift that can resolve the paradox.

The ultimate conclusion is clear: Securing the autonomous enterprise does not require rebuilding from scratch. The immediate priority is for organizations to extend their proven governance disciplines to cover the unmanaged non-human identities operating across their digital estate, unifying them into a single fabric that can finally match the speed of AI.

For additional perspective on how identity maturity is evolving in the age of AI, SailPoint’s “Horizons of Identity Security” report explores the trends, gaps, and capabilities shaping the path forward.

Found this article interesting? This article is a contributed piece from one of our valued partners. Follow us on Google News, Twitter and LinkedIn to read more exclusive content we post.





Source link

The Hacker News

The Hacker News

Next Post

Blockchain.com seeks U.S. approval for prediction markets, crypto derivatives trading

Recommended.

ValleyRAT Backdoor Hides in Signed Adware That Users Add to Antivirus Exclusions

August 31, 2026
Wizehire Launches Jobs App in ChatGPT as Job Search Moves From Job Listings to Conversations

Wizehire Launches Jobs App in ChatGPT as Job Search Moves From Job Listings to Conversations

April 3, 2026

Trending.

AWS, Google, Oracle, Microsoft Top Gartner’s Cloud AI Infrastructure List For 2026

AWS, Google, Oracle, Microsoft Top Gartner’s Cloud AI Infrastructure List For 2026

July 29, 2026
IDCA datacentres report: Global concentration and the Goldilocks zone | Computer Weekly

IDCA datacentres report: Global concentration and the Goldilocks zone | Computer Weekly

May 12, 2026
How ByteDance Made China’s Most Popular AI Chatbot

How ByteDance Made China’s Most Popular AI Chatbot

October 16, 2025
The Coolest Big Data System and Platform Companies Of The 2026 Big Data 100

The Coolest Big Data System and Platform Companies Of The 2026 Big Data 100

June 9, 2026

AWS Pours $6B Into New US Data Center As Amazon’s $220B Spending Goal Unfolds

August 20, 2026

PTechHub

A tech news platform delivering fresh perspectives, critical insights, and in-depth reporting — beyond the buzz. We cover innovation, policy, and digital culture with clarity, independence, and a sharp editorial edge.

Follow Us

Industries

  • AI & ML
  • Cybersecurity
  • Enterprise IT
  • Finance
  • Telco

Navigation

  • About
  • Advertise
  • Privacy & Policy
  • Contact

Subscribe to Our Newsletter

  • About
  • Advertise
  • Privacy & Policy
  • Contact

Copyright © 2025 | Powered By Porpholio

No Result
View All Result
  • News
  • Industries
    • Enterprise IT
    • AI & ML
    • Cybersecurity
    • Finance
    • Telco
  • Brand Hub
    • Lifesight
  • Blogs

Copyright © 2025 | Powered By Porpholio