Secure
Development
Lifecycle End-to-End
Boost
Operational Lifecycle Security
Achieve Effortless
Compliance through Automation
Focus on
What Matters with Confidence
The TrustMe team is discussing their plan with the laptop. The background is an office.

Problem

Most of the code in the future will be written by
AI bots. Until now, there has been no effective way to identify, track, secure, or measure the efficiency of AI generated code. Costs and code vulnerabilities are skyrocketing in both human-written and AI-generated software development.
Many companies rely on point tools that fail to provide comprehensive visibility to identify, track, and remediate issues. These tools focus solely on what is developed, neglecting critical factors like who developed the code, leaving access and productivity risks unchecked. Software leaders struggle to effectively manage engineering budgets and measure performance while simultaneously balancing development investments with critical security measures to prevent cyberattacks and data breaches.

Solution

75% of software engineers will use AI coding assistants by 2028

Enhance software and SaaS business outcomes with an AI-first, unified
security and productivity solution featuring next-gen financial governance
and stakeholder oversight for both AI and traditional software development.
oie_aXULuHDKILwV

Agents

20+ built-in probes for
servers and endpoints
that scan, assess, and
prioritize, providing
continuous compliance

Cloud

Unified control center
including orchestrator,
dashboard, and toolsets

Connectors

 API integration and legacy
connectors to cloud and
data center repositories work with private, public, and
hybrid environments

11+

Average #
Employee Tools

Coro

1 : 1,488

Security Pros
to Employees

Infosecurity Magazine

75%

Software
Projects Fail

– BITKOM e.V.

0.6%

0.6% of Revenue goes to Cybersecurity Budget

Statista & Techvera

Capabilities

Data-Driven Decision Making

Surface actionable insights to
stakeholders into economic,
security, and operational data
across engineering, DevOps,
and emerging AI workloads.

Actionable
Insights

Empower comprehensive control
over the development process to
efficiently identify issues, take
decisive actions, mitigate risks,
and accelerate innovation.

Customer
Experience

Foster customer confidence and
improve customer experience by
accelerating delivery, prioritizing
outcomes, and enhancing
security, quality, and reliability.