Akroni

Akroni.ai is building an identity-centric network that protects enterprises against AI-powered identity abuse, addressing the full AI kill-chain from autonomous reconnaissance and credential theft to application hijack and silent exfiltration. The platform focuses on non-human identities (NHIs) harvested from memory, configs, and CI/CD pipelines, detecting valid tokens bound to unverified tools. Currently in stealth mode, the company is partnering with security design leaders to empower CISOs and SecOps teams to adopt AI securely.

Traction –/10

Sunnyvale, United States · HQ

350+ followers

Cybersecurity
Artificial Intelligence
Software Only

Updated 4 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional security tools like SASE, EDR, and WAF protect perimeters, hosts, and web traffic, but they fail to stop attackers who exfiltrate data by impersonating trusted identities. Over 80% of enterprise breaches occur due to stolen credentials, and AI-accelerated reconnaissance is making identity abuse faster and more difficult to detect.

Solution

Akroni.ai is building an identity-centric network that protects enterprises against AI-powered identity abuse. The platform addresses the full AI kill-chain for identities, from autonomous AI reconnaissance and credential theft to application hijack and silent exfiltration. By focusing on how stolen trusted identities are used, the solution aims to give CISOs and SecOps teams visibility and control over non-human identities (NHIs) and service accounts that attackers increasingly target. The company is currently in stealth mode and partnering with top security design leaders to ensure AI can be adopted securely and responsibly within enterprise environments.

Target Audience

Primary customers are CISOs and SecOps teams at enterprises seeking to protect their environments against AI-accelerated identity abuse and adopt AI securely and responsibly.

Features

Identity-centric security model that monitors and protects trusted human and non-human identities across enterprise systems
Coverage of the full AI kill-chain, including autonomous AI recon, credential theft, application hijack, and silent exfiltration
Focus on non-human identities (NHIs) harvested from memory, configs, and CI/CD pipelines
Detection of valid tokens bound to unverified tools such as Python scrapers, curl, and unmanaged CLIs
Designed to integrate with existing security stacks, complementing SASE, EDR, and WAF rather than replacing them