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AI Cybersecurity Consulting

Expertise-Led. Adversary-Informed. Built for What's Next.

Keeping our human first approach

How does TrustedSec use Artificial Intelligence (AI)?

TrustedSec helps organizations secure AI systems, govern AI adoption, and stay ahead of the threat actors already using AI, without replacing the human judgment that makes security effective.

Leadership Perspective

Our Approach to AI: Augmentation, Not Replacement

At TrustedSec, staying ahead of threats has always been the standard. AI is the next evolution of that approach. Across every service we deliver, AI accelerates analysis, surfaces patterns faster, and improves the consistency of every engagement, without changing who is driving the work.

"AI supports our consultants. It does not replace them. The real value still comes from the experience, intuition, and adversarial thinking our team brings to every engagement."
David KennedyFounder and CEO

We are not approaching AI as a feature or a trend. It is being integrated into how we operate as a firm, grounded in real-world client work, continuously refined, and applied only where it genuinely adds value. The result is faster assessments, deeper technical insights, and more actionable recommendations, without trading away the quality and judgment our clients expect.

Services

AI Security Services

AI introduces a new and rapidly evolving attack surface. From prompt injection and model manipulation to data exposure and governance failures, organizations are facing risks they were not designed to handle. TrustedSec helps you navigate them with the same practitioner-led, adversary-informed approach we apply to every engagement.

AI Security Assessment

A structured evaluation of your AI systems, pipelines, and integrations to identify vulnerabilities before adversaries do. We assess real-world attack paths, not checkbox compliance, and deliver findings your team can act on.

Red Team: Offensive AI Testing

We test AI-enabled systems the way adversaries will, through prompt injection, model manipulation, data extraction attempts, and abuse-case simulation. If your AI can be attacked, we find it first.

AI Governance and Advisory

Adopting AI securely requires more than a policy document. We work alongside your team to build practical governance frameworks, review internal AI use, and develop secure adoption programs tailored to your risk profile and regulatory environment.

Incident Response: AI-Related Breaches

When an AI-enabled system is exploited or misused, the response requires practitioners who understand how these systems fail. TrustedSec's Incident Response team brings deep technical knowledge and real-world offensive experience to contain, investigate, and remediate AI-related incidents.

How We Work

What Makes TrustedSec Different?

Most organizations approaching AI security start from a compliance mindset. TrustedSec starts from an adversarial one. We have been testing how attackers think and operate for years, and that same offensive lens is what we bring to AI systems.

Every engagement is tailored to your environment. We do not apply a generic framework and call it done. Whether you are evaluating a new AI-enabled application, reviewing how your team uses AI, or building the governance structure to support long-term secure adoption, the work is scoped to your specific risk profile, technology stack, and organization's maturity.

Our goal is not to slow you down. It is to help you move forward with AI confidently so that it becomes a strategic advantage rather than a source of uncertainty.

Frequently Asked Questions

Q: What is AI security consulting?
A: AI security consulting helps organizations identify and address the security risks introduced by artificial intelligence systems, including vulnerabilities in AI applications, risks from internal AI adoption, and emerging threats from adversaries using AI as an attack tool. Services typically include security assessments, Red Team testing, governance advisory, and incident response for AI-related breaches.

Q: How does TrustedSec test AI systems for security vulnerabilities?
A: TrustedSec assesses AI systems using a practitioner-led, adversarial approach. That means testing real-world attack paths including prompt injection, model manipulation, data extraction, and abuse-case simulation, rather than working from a generic checklist. Every engagement is scoped to the specific environment and risk profile of the client.

Q: What is prompt injection and why does it matter?
A: Prompt injection is an attack technique where malicious input is used to manipulate the behavior of an AI system, causing it to ignore instructions, expose sensitive data, or take unintended actions. It is one of the most active and evolving threats facing organizations that deploy Large Language Models or AI-enabled applications.

Q: How does TrustedSec help with AI governance?
A: TrustedSec works with organizations to build practical AI governance frameworks grounded in real-world risk, not just policy templates. That includes reviewing how AI is being used internally, identifying data exposure and compliance risks, and developing secure adoption programs that keep pace with how the technology is evolving.

Q: Does TrustedSec use AI in consulting work?

A: Yes. TrustedSec integrates AI across its service delivery to improve the speed, scale, and depth of engagements. AI is used to accelerate analysis and surface patterns faster, but every engagement is led and interpreted by experienced human consultants. The technology supports the work. It does not replace the expertise behind it.

Ready to get ahead of AI risk?

Whether you are assessing your first AI-enabled application or building out an enterprise-wide governance program, TrustedSec has the expertise to help you move forward securely.

Leading with our expertise

See what our experts have to say about the latest AI trends and how to stay secure.

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Benchmarking Self-Hosted LLMs for Offensive Security

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Webinars March 18 2026

Copilot Security: What to Know Before You Go

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Blog March 17 2026

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Webinars February 11 2026

Perspectives on AI in the Cybersecurity Industry in 2026

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Security Noise - LLM = Love Language Model?!

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Blog February 03 2026

MCP in Burp Suite: From Enumeration to Targeted Exploitation

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Podcasts January 26 2026

Security Noise - Navigating Authorization with a Copilot

What are the data security risks associated with using Microsoft Copilot? Listen to this episode to explore the importance of data classification policies and…

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Podcasts June 16 2025

Security Noise - Episode 7.18

This week on Security Noise, we are hacking with AI! Listen as we discuss how AI can accelerate workflows, the pros and cons of using automation in penetration…

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