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AI Security Built for What's Actually at Risk

TechAble Secure is an AI security research, assessment, and workforce development organization helping enterprises, government agencies, and technology teams deploy AI systems that are secure, governed, and resilient.

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Frameworks Referenced
NIST AI RMF OWASP LLM Top 10 EU AI Act MITRE ATLAS ISO/IEC 42001 NIST SP 800-218A

Traditional security was not designed for AI systems

Organizations are racing to deploy large language models, AI agents, and generative AI applications โ€” but existing security frameworks were built for deterministic software, not probabilistic AI systems that reason, generate, and act autonomously. The attack surface has fundamentally changed. So has the risk.

See How We Assess AI Risk โ†’

Prompt Injection & Adversarial Inputs

Attackers manipulate LLM behavior through crafted inputs, bypassing safety controls and extracting sensitive data or triggering unintended actions.

AI Agent Autonomy Risks

Autonomous AI agents with tool access, code execution, and API permissions create new privilege escalation and lateral movement paths.

Training Data & Supply Chain Threats

Poisoned training data, compromised model weights, and vulnerable ML pipelines introduce risks invisible to conventional security scanning.

Governance & Compliance Gaps

AI regulations including the EU AI Act, NIST AI RMF, and sector-specific requirements demand accountability structures most organizations don't yet have.

Workforce Knowledge Deficit

Security engineers, developers, and risk managers lack the specialized training to identify and mitigate AI-native threats.

One organization. Six core capabilities.

TechAble Secure is not a conventional cybersecurity consultancy. We operate at the intersection of applied AI security research, technology innovation, and professional education.

01

AI Security Risk Assessments

Expert-led evaluation of AI models, agents, data pipelines, and governance programs โ€” with risk ratings and a remediation roadmap.

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02

AI Governance & Responsible AI

NIST AI RMF, EU AI Act, and ISO 42001 governance framework design and implementation.

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03

Secure AI Architecture

Security design for AI model serving, agents, data pipelines, and cloud AI infrastructure โ€” built for AI-native threats from day one.

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04

AI Red Teaming

Adversarial testing of LLMs, AI agents, and AI-powered applications โ€” finding vulnerabilities before attackers do.

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05

Enterprise Security Architecture

AI-era security architecture covering security domains, Zero Trust, and cloud security for AI-deploying organizations.

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06

AI Security Training

Seven NIST NICE Framework-aligned programs for executives, engineers, architects, governance professionals, and security practitioners.

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Ready to assess your AI security posture?

Whether you need an AI security risk assessment, governance advisory, red team engagement, or a training program for your team โ€” we are ready to help.

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