Cyber Defense eMagazine May Edition for 2022
Cyber Defense eMagazine May Edition for 2022 #CDM #CYBERDEFENSEMAG @CyberDefenseMag by @Miliefsky a world-renowned cyber security expert and the Publisher of Cyber Defense Magazine as part of the Cyber Defense Media Group as well as Yan Ross, Editor-in-Chief and many more writers, partners and supporters who make this an awesome publication! Thank you all and to our readers! OSINT ROCKS! #CDM #CDMG #OSINT #CYBERSECURITY #INFOSEC #BEST #PRACTICES #TIPS #TECHNIQUES
Cyber Defense eMagazine May Edition for 2022 #CDM #CYBERDEFENSEMAG @CyberDefenseMag by @Miliefsky a world-renowned cyber security expert and the Publisher of Cyber Defense Magazine as part of the Cyber Defense Media Group as well as Yan Ross, Editor-in-Chief and many more writers, partners and supporters who make this an awesome publication! Thank you all and to our readers! OSINT ROCKS! #CDM #CDMG #OSINT #CYBERSECURITY #INFOSEC #BEST #PRACTICES #TIPS #TECHNIQUES
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value of AI models, and what if they are stolen? What’s the impact of the AI model attack on brand<br />
reputation and customer trust?<br />
There<strong>for</strong>e, the need of an hour is to create a last layer of defense <strong>for</strong> AI models to plug in the newer<br />
attack surfaces.<br />
Bosch AIShield brings hacker-level vulnerability assessment and security hardening to the organization’s<br />
AI-powered devices and cloud solutions. The product provides a SaaS-based<br />
tool with UI so that every AI stakeholder (e.g., data scientist, ML engineers, product managers, security<br />
engineers) can benefit from our patent-powered deep technology. With a few clicks, AI stakeholders can<br />
get vulnerability assessment reports, generate, and deploy customized defense mechanisms, and get<br />
real-time notifications on real-time threat detection.<br />
“Bosch is committed to make AI trustworthy and build digital trust in AI. AIShield is an important product<br />
offering towards that. It protects AI systems against emerging threats from adversaries. AIShield makes<br />
AI security accessible to all and bolsters Digital trust in AI”, says Krishnamurthy Vadiraj, Head Technology<br />
& Innovation, BGSW.<br />
Bosch AIShield also offers out-of-the-box native automation support so that organizations can achieve<br />
scale rapidly. With a minimum configuration, it can be easily, ef<strong>for</strong>tlessly, and hassle-free way integrated<br />
into the MLOps (ML workflows) leveraging our API offerings. Bosch AIShield takes an AI model and<br />
sample data as an input and calculates the vulnerability score of a model using our intelligent attack<br />
framework and attack database. The attack database is foundational and constantly updated through our<br />
research and open-source intelligence. Bosch AIShield identifies relevant attack vectors and, using them,<br />
calculates the vulnerability score. This score prioritizes the most critical vulnerabilities and creates a<br />
defense mechanism against attacks as a remediation response. Bosch AIShield generates a deployable<br />
version of the defense model and real-time attack notifications. The notifications are designed to be easily<br />
be integrated by industry-leading Security Incident and Event Management services. The user interface<br />
provides intuitive visualizations and detailed reports. Bosch AIShield also offers consulting services to<br />
help the organization navigate the security landscape of AI. With Bosch AIShield’s rich end-to-end<br />
security offering, even small security teams and AI/ML developers can ensure AI systems are monitored<br />
and protected.<br />
<strong>Cyber</strong> <strong>Defense</strong> <strong>eMagazine</strong> – <strong>May</strong> <strong>2022</strong> <strong>Edition</strong> 104<br />
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