EngSure
AI-driven Cybersecurity and AI Security unified in a single adaptive, agentic platform.
EngSure leverages AI to strengthen cybersecurity and protect models, agents, data, applications, and digital assets through a verifiable and continuously monitored framework.
Artificial Intelligence is transforming the cybersecurity landscape.
On the one hand, AI is making cyberattacks faster, more sophisticated, and easier to scale, forcing organizations to rethink their security tools and defense strategies. On the other, the adoption of AI creates new assets that need to be protected, including models, agents, data, workflows, and applications that are becoming integral to business operations and an organization’s digital assets.
This evolving landscape calls for a new approach to security, built around two complementary dimensions: AI for Security, which leverages Artificial Intelligence to strengthen defense capabilities, and Security for AI, which focuses on securing and governing AI systems themselves.
To meet these evolving challenges, Engineering brings both dimensions together in a single platform that strengthens an organization’s cybersecurity capabilities while ensuring its AI systems remain secure and under control.
What is EngSure?
EngSure is Engineering’s agentic cybersecurity platform, leveraging Artificial Intelligence to strengthen the protection of digital assets and secure the AI ecosystem throughout its entire lifecycle.
EngSure accelerates alert analysis, correlates signals from multiple sources, and supports threat response, helping security specialists respond faster to increasingly sophisticated and convincing attacks.
It also protects models, data, prompts, agents, applications, and AI-enabled workflows against attacks, manipulation, and anomalous behavior.
It continuously monitors AI systems in production, assesses their resilience, supports governance and compliance activities, and generates evidence to help evaluate their reliability and risk.
AI capabilities are combined with the expertise of Engineering professionals: agents accelerate information gathering, correlation, and analysis, while experts interpret the context, validate the evidence, and retain control over critical decisions.
The result is a continuous, adaptive security posture that leverages AI to strengthen the organization's defenses while making AI systems more secure, observable, governable, and auditable.
How EngSure combines AI, cybersecurity, and specialized expertise
The platform is built on a proprietary framework of AI agents that work together across four specialized modules.
EngSure’s 4 modules
The benefits of EngSure for security, governance, and compliance
Why choose EngSure?
Operational Expertise Applied to AI
EngSure builds on the hands-on expertise of Engineering specialists and the Engineering SOC’s 20+ years of experience in managing real-world cyber threats, incidents, and scenarios. It turns practical knowledge and real-world cases into contextualized defense, analysis, and response capabilities.
Security and Governance Tailored to Your Needs
EngSure combines specialized modules and capabilities that can be adopted progressively, applying the level of security, governance, and control best suited to the organization’s different AI systems, regulatory requirements, and risk profiles.
A Platform That Adapts to Your AI Ecosystem
Designed to work with different models, frameworks, and infrastructures, EngSure integrates with your existing architecture and adapts to your organization’s specific technological, regulatory, and operational requirements.
Automation Combined with Specialized Expertise
AI agents accelerate monitoring, testing, and evidence generation, while Engineering specialists interpret the context, validate the results, and guide critical decisions.
FAQ
EngSure transforms data from monitoring, testing, and controls into structured, verifiable evidence. This makes technical information actionable for CISOs, compliance teams, and boards, helping them assess risks and gaps, support audit activities, and demonstrate that AI systems operate within a controlled environment.
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