Pioneering Application Security with AI: Scantist at SGTech Partnership Innovations Day

Today, Scantist had the incredible opportunity to exhibit our AI-Driven Application Security solutions at the SGTech Partnership Innovations Day, held in collaboration with ST Engineering. 🎉

At Scantist, we are focused on building continued trust for AI Applications through innovation. This event was a significant opportunity to share our vision and solutions with pioneering industry peers!

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Scantist’s Pitch: AI Tackling Application Security Challenges

Application security is the foundation of digital trust, and at Scantist, we are committed to enhancing application security with AI-driven solutions. Our platform, consisting of multiple subsystems, addresses two key challenges:

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Trusted AI with Multi-Modal Capabilities:

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AISwarm: Our AI red teaming solution automatically identifies vulnerabilities within AI models. This trusted AI deployment across industries such as fintech, healthcare, and automotive.

How it works: AISwarm utilizes automated red teaming bots to simulate potential attacks, such as LLMBot, MLLMBot and MLBot. This Target AI System is able to read raw input, Load attack strategies, and Payload and instruction mutation And mitigate risks throughGuided attack iterations with objective alignment feedback-driven refinement evaluation and scoring

Use case: Safeguards AI systems by addressing adversarial attacks, misinformation risks, and harmful output scenarios.

Improving Engineering Work Processes:

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DevAgies: This subsystem embeds security into the software development lifecycle (SDLC). It automats compliance checks and fosters a proactive security culture.

Key Features: DevAgies automates pipeline code generation for compliance alignment. It also integrates with DevSecOps processes to enhance efficiency and reduce development bottlenecks.

Use case: Enables continuous compliance and improves productivity by embedding security as code throughout development.

ScanOne: A security debt management platform that orchestrates the detection, verification, and remediation of vulnerabilities in application source code and AI models.

How it works: ScanOne facilitates trust assessment over application supply chains while reducing manpower costs and improving accuracy.

Use case: Ensures seamless security debt management for AI systems and software artifacts.

Scantist’s solutions comprehensively address emerging threats and foster digital trust, driving efficiency across the tech landscape.

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Driving Innovation Together: Thanks to Insightful Sharing from Industry Experts

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We extend our heartfelt gratitude to the esteemed panel of judges who provided valuable insights and feedback: Syn Hon Beng, Andy Tan Wee Kok and Andy Leong Wai Chung from ST Engineering MSS, Jen Nie Kwok from SGTech, Xcelink

A special thanks goes to our guests of honor for their presence and support: Yean Cheong, from SGTech and Raja Gopal from ST Engineering MSS

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Scantist’s Future: Let Security Empower Industry in 2025

As Scantist looks to the future, we aim to expand our reach, enhance our service offerings, and deepen collaborations with industry partners. With over 300 warm leads and a focus on the automotive ecosystem and government agencies, Scantist is well-positioned to grow its impact. Our strong partnerships with major systems integrators like IBM, NTT, and ST Engineering, as well as communities such as SGTech, GovTech, AiSP, and OpenSSF, reinforce our commitment to collaboration.

The SGTech Partnership Innovations Day represents a remarkable collaboration between industry leaders, highlighting the importance of fostering innovation in cybersecurity. As a company committed to delivering intelligent, scalable solutions, Scantist looks forward to furthering partnerships and driving advancements in application security.

We thank SGTech and ST Engineering for organizing this event and providing a platform for meaningful dialogue and innovation. Together, we can build a more secure and trusted digital future.

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