Top Cybersecurity Startups Disrupt Startup Battlefield Signals AI-First Security Shift

The top cybersecurity startups Disrupt Startup Battlefield selection shows how security priorities are changing fast.
This year’s cohort reflects one clear pattern. AI is now both the threat and the defense layer.

Each selected company earned its place after competing in a large applicant pool. From thousands of submissions, only 200 reached the Battlefield. Just 20 pitched on the main stage. The remaining teams competed in category-specific tracks, including cybersecurity.

Below are the nine cybersecurity startups selected, and why they matter now.

AI Security Moves From Theory to Practice

Several of the top cybersecurity startups Disrupt Startup Battlefield focus directly on AI risk.
They do not just defend traditional systems. They secure AI itself.

AIM Intelligence

AIM builds enterprise tools that defend against AI-enabled attacks.
It also uses AI to test AI systems through automated penetration testing.
The platform adds guardrails for corporate AI and includes an AI safety planning tool.

This positions AIM at the center of AI risk governance.

Mill Pond Research

Mill Pond focuses on unmanaged AI inside organizations.
As employees adopt AI tools independently, risks increase.

The platform detects AI tools accessing sensitive data.
It flags exposure before it becomes a breach.

Polygraf AI

Polygraf develops small language models tuned for cybersecurity tasks.
Enterprises use them to enforce compliance and protect data.

The models also detect unauthorized AI use and identify deepfakes.
This narrows the gap between policy and enforcement.

Code, Cloud, and Infrastructure Security Tighten Up

Other top cybersecurity startups Disrupt Startup Battlefield target core infrastructure risks.
These teams focus on code quality, cloud exposure, and asset visibility.

Corgea

Corgea scans code for security flaws using AI.
It also identifies broken security logic, such as faulty authentication.

The platform allows AI agents to secure code.
It supports popular programming languages and libraries.

CyDeploy

CyDeploy automates asset discovery across networks.
It maps every application and device.

Once mapped, it creates digital twins.
Security teams can then sandbox tests and automate processes using AI.

ZEST Security

ZEST delivers an AI-powered enterprise cloud security platform.
It helps teams identify and fix cloud vulnerabilities faster.

The platform unifies vulnerability management across clouds and applications.
This reduces exposure from known but unpatched risks.

Ransomware and Adversarial Testing Go Proactive

Some startups take a more aggressive stance.
They assume attacks will happen and design for recovery and validation.

Cyntegra

Cyntegra combines hardware and software to stop ransomware.
It locks away secure backups beyond attacker reach.

After an attack, systems can be restored in minutes.
This includes operating systems, applications, data, and credentials.

HACKERverse

HACKERverse deploys autonomous AI agents to simulate hacker attacks.
These attacks run inside isolated environments.

The goal is verification.
Security teams can confirm whether vendor tools work as claimed.

Deepfake Detection Becomes Mission-Critical

Identity trust is breaking down.
One startup focuses entirely on this problem.

TruSources

TruSources detects AI-generated deepfakes across audio, video, and images.
The system works in real time.

Use cases include identity authentication and fraud prevention.
It also supports age verification workflows.

What This Startup Cohort Really Signals

The top cybersecurity startups Disrupt Startup Battlefield list reflects a shift.
Security teams now defend dynamic, AI-heavy environments.

Detection, simulation, and recovery matter more than static controls.
AI-native risks require AI-native defenses.

For enterprises, this changes buying criteria.
Tools must integrate fast and scale across complex stacks.

If you are building or securing modern systems, this direction is unavoidable.

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