Tuesday · October 20, 2026

 ·  Daily  ·  Newsletters

Resonance network: Quantum InsiderSpace Insider

Secure.com Finalises $4.5M Funding to Expand AI Security Agents

Insider Brief

  • Secure.com launched Digital Security Teammate (DST), an AI-native agent designed to address the cybersecurity talent shortage and overwhelming alert volumes by autonomously handling investigation, triage, and compliance tasks.
  • The company raised $4.5 million from Disrupt.com as DST aims to help security teams manage rising threats, costly breaches, and operational burnout that human staffing alone can no longer sustain.
  • DSTs integrate quickly into existing security stacks, function like virtual colleagues who work continuously, and deliver analyst-level productivity at a fraction of the cost, providing immediate operational relief.

PRESS RELEASE — Secure.com announced the launch of Digital Security Teammate (DST), a new category of AI-native agents built to help security teams survive the largest operational crisis the industry has ever faced. According to Cybersecurity Ventures, cybercrime damages have reached $10.5 trillion globally, the talent gap has widened to 4.8 million unfilled roles, and security teams continue to drown in 1000s of alerts a day from tools they cannot staff or manage.

The company also announced that it has secured its first investment from Disrupt.com, the leading venture builder out of MENA behind notable global startups, including the $350M bootstrapped exit of Cloudways to DigitalOcean. The $4.5M backing signals a broader regional push to accelerate AI-native security innovation.

A Crisis Too Large for Human Teams Alone

As revealed in IBM’s Cost of a Data Breach Report 2025, breaches in the United States now hit an all-time high of $10.22 million, and breaches in the Middle East average $7.29 million, yet only 49% of breached companies plan to increase security spending. Leaders face five-month hiring cycles, analyst salaries above $300,000 per year, and rising failure rates across traditional operations.

The pressure on cybersecurity teams has reached a breaking point. A survey from Object First shows that 84% of security professionals report being uncomfortably stressed, and nearly 60% are considering leaving the profession. Turnover, burnout, and talent drain are eroding security from the inside as threats accelerate.

Only AI-powered defence can keep up with AI-powered attacks, yet most mid-sized, cloud-first organisations are still operating with pre-AI tooling and lean teams. Growing compliance and reporting requirements further demand faster response, higher accuracy, and continuous auditability.

Together, these forces are creating a crisis too large for human teams to shoulder alone.

Introducing Digital Security Teammates

“Security teams are drowning. We are giving them oxygen,” said Uzair Gadit, CEO of Secure.com. “The industry does not need another tool. It needs teammates. We built Digital Security Teammates to work like real colleagues. They take the night shift, clear the queue, and catch what humans miss while explaining every action. One Digital Security Teammate matches the workload of an L1 analyst and security engineer combined, at a fraction of the cost.”

DSTs are always on AI-native agents that work inside a company’s existing security stack. They investigate alerts, triage incidents, perform compliance tasks, and escalate only when needed, simplifying, not replacing, the tools teams already have. Unlike MDR, SOAR, or single-vendor co-pilots, DSTs deploy in minutes, work across the entire stack, and deliver value within the first 30 minutes.

SOURCE

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

Trending today

a black square with a blue logo on it
Business & Markets · Enterprise

Meta Releases Muse Spark Open, an 816B-Parameter Open-Weight AI Model Built to Run on Macs

A close-up of Benjamin Franklin on a United States one hundred dollar bill
Business & Markets

Fragment Raises $12M Series A to Turn Agents into Financial Operators

Business & Markets · Enterprise

Anthropic Details AI-Driven Workforce Shift and Commits 5% of Shares to Public Benefit Fund as Replit Moves Default to OpenAI

an orange smile on a black background
Business & Markets · Enterprise

Amazon’s Panos Panay Bets on Ambient AI Over Apps as the Future of Personal Computing

Policy & Government · AI Safety

Anthropic Grants METR Researchers Employee-Level Access for Independent AI Risk Assessments

The AI economy, every weekday morning

The daily briefing on LinkedIn. Free, one tap to follow.

Exclusives

Exclusive

South Korea’s AI G3 Strategy: Decoded

Scale-ups to Watch

10 Switzerland-Based AI Scale-Ups You Need to Know in 2026

network, blockchain, digital, hand, web, community, artificial, intelligence, steering, interfaces, bokeh, future, digitization, transformation, change, blockchain, blockchain, blockchain, blockchain, blockchain, transformation
Exclusive

Why Crypto Could Be AI’s Payment Layer: BlackRock Sees Stablecoins Connecting Commerce and Compute

AI Predictions
Exclusive

Why AI Predictions Often Get The Technology Right But The Timeline Wrong

Scale-ups to Watch

10 CEE & Baltics-Based AI Scale-Ups You Need to Know in 2026

More in Business & Markets

Latest from the same section
Technology & Infrastructure · Models & LLMs

Skyfall AI Unveils Frontier Engineering World Model SKY-001

6 hours ago
Business & Markets · Startups

Dream Labs Raises $90M in Seed Funding to Build Foundation Models for Any Robot

8 hours ago
Business & Markets · Startups

Canada’s Promise Robotics Signs Multi-Year Deal With US Homebuilder DR Horton for Robotic Homebuilding

2 days ago
Physical AI · Humanoids

Japan’s Shimizu Invests in Noble Machines to Develop Humanoid Robots for Construction

3 days ago

The AI economy, every weekday morning

The daily briefing plus the weekly Scale-ups to watch edition. Free, no spam, unsubscribe any time.