ADVISORI Logo
BlogCase StudiesÜber uns
info@advisori.de+49 69 913 113-01
  1. Home/
  2. Leistungen/
  3. Digital Transformation/
  4. AI Artificial Intelligence/
  5. Adversarial AI Attacks En

Newsletter abonnieren

Bleiben Sie auf dem Laufenden mit den neuesten Trends und Entwicklungen

Durch Abonnieren stimmen Sie unseren Datenschutzbestimmungen zu.

A
ADVISORI FTC GmbH

Transformation. Innovation. Sicherheit.

Firmenadresse

Kaiserstraße 44

60329 Frankfurt am Main

Deutschland

Auf Karte ansehen

Kontakt

info@advisori.de+49 69 913 113-01

Mo-Fr: 9:00 - 18:00 Uhr

Unternehmen

Leistungen

Social Media

Folgen Sie uns und bleiben Sie auf dem neuesten Stand.

  • /
  • /

© 2024 ADVISORI FTC GmbH. Alle Rechte vorbehalten.

Your browser does not support the video tag.

Adversarial AI Attacks

Ihr Erfolg beginnt hier

Bereit für den nächsten Schritt?

Schnell, einfach und absolut unverbindlich.

Zur optimalen Vorbereitung:

  • Ihr Anliegen
  • Wunsch-Ergebnis
  • Bisherige Schritte

Oder kontaktieren Sie uns direkt:

info@advisori.de+49 69 913 113-01

Zertifikate, Partner und mehr...

ISO 9001 CertifiedISO 27001 CertifiedISO 14001 CertifiedBeyondTrust PartnerBVMW Bundesverband MitgliedMitigant PartnerGoogle PartnerTop 100 InnovatorMicrosoft AzureAmazon Web Services

Adversarial AI Attacks - Protection Against Targeted Manipulation of AI Systems

Why Adversarial AI Attack Protection with ADVISORI

  • Deep AI Security Expertise and understanding of attack vectors
  • Proven Defense Strategies from real-world AI security projects
  • Comprehensive Approach from assessment to implementation
  • Continuous Innovation through research and threat intelligence
⚠

Growing Threat from Adversarial AI Attacks

As AI systems become more widespread, Adversarial AI Attacks are becoming an increasingly serious security threat. Systematic protection is essential for the secure operation of AI applications.

ADVISORI in Zahlen

11+

Jahre Erfahrung

120+

Mitarbeiter

520+

Projekte

We pursue a systematic approach that combines threat assessment, defense strategy development, and technical implementation to create comprehensive protection for your AI systems.

Unser Ansatz:

Threat Assessment and identification of AI-specific vulnerabilities

Defense Strategy Development tailored to your AI systems

Technical Implementation of protection mechanisms

Security Testing and validation of effectiveness

Continuous Monitoring and adaptation to new threats

"Adversarial AI Attacks represent a serious and growing threat to AI systems. Effective protection requires deep understanding of both AI technology and attack methods. We support organizations in developing and implementing comprehensive defense strategies that ensure the security and reliability of their AI applications."
Asan Stefanski

Asan Stefanski

Director, ADVISORI FTC GmbH

Unsere Dienstleistungen

Wir bieten Ihnen maßgeschneiderte Lösungen für Ihre digitale Transformation

AI-specific Threat Assessment

Comprehensive assessment of threats and vulnerabilities specific to your AI systems and applications.

  • Attack Vector Analysis for AI-specific threats
  • Vulnerability Assessment of AI models and infrastructure
  • Risk Evaluation and prioritization of threats
  • Threat Intelligence integration for current attack trends

Model Poisoning Defense

Protection against model poisoning attacks that aim to manipulate training data or model parameters.

  • Training Data Validation and integrity verification
  • Model Integrity Monitoring for detecting manipulations
  • Secure Training Pipelines with protection mechanisms
  • Anomaly Detection in training processes

Häufig gestellte Fragen zur Adversarial AI Attacks

Why do Adversarial AI Attacks pose an existential threat to AI-powered business models, and how does ADVISORI position protection against these sophisticated attacks as a strategic competitive advantage?

Adversarial AI Attacks represent one of the most sophisticated and dangerous threats to AI-powered business models. Unlike traditional cyberattacks, these attacks specifically target the weaknesses of machine learning models and can fundamentally undermine the reliability and trustworthiness of AI systems. ADVISORI positions protection against Adversarial AI Attacks not merely as a defensive measure, but as a strategic competitive advantage. Companies that proactively implement robust AI security demonstrate to customers, partners, and regulators that they take the reliability of their AI systems seriously. This creates trust, enables regulatory compliance, and provides a decisive market advantage in an increasingly AI-driven economy. Our holistic approach combines technical defense mechanisms with strategic consulting to not only protect your AI investments but also position them as a differentiator in the market.

How do we quantify the financial impact of Adversarial AI Attacks on our company, and what ROI does ADVISORI's specialized AI Security implementation offer for protecting our AI investments?

The financial impact of Adversarial AI Attacks can be devastating and extends far beyond direct damage. Direct costs include loss of revenue from manipulated AI systems, costs for incident response and system recovery, and potential regulatory fines. Indirect costs encompass reputation damage, loss of customer trust, competitive disadvantages, and long-term impacts on market valuation. ADVISORI offers a comprehensive ROI analysis that quantifies both the risks of inadequate AI security and the benefits of our specialized protection solutions. Our implementations typically show ROI within 12‑18 months through: prevention of costly security incidents, increased reliability and performance of AI systems, accelerated time-to-market for AI products through integrated security, and competitive advantages through demonstrable AI security excellence. We support you in developing a business case that positions AI security not as a cost factor but as a strategic investment in the future viability of your AI initiatives.

The regulatory landscape for AI Security is rapidly evolving – how does ADVISORI ensure that our Adversarial Defense strategies are not only technically robust but also regulatory future-proof and GDPR-compliant?

In an era of rapidly evolving AI regulation, the integration of compliance and security is essential. ADVISORI ensures that your Adversarial Defense strategies meet both current and anticipated regulatory requirements. Our approach encompasses: comprehensive analysis of applicable regulations (EU AI Act, GDPR, sector-specific requirements), development of compliance frameworks that integrate security and regulatory requirements, implementation of audit trails and documentation systems for regulatory evidence, proactive monitoring of regulatory developments and adaptation of strategies, and preparation for regulatory audits and certifications. We work closely with legal and compliance teams to ensure that technical security measures meet regulatory requirements while remaining practically implementable. Our solutions are designed to be not only technically robust but also legally defensible and regulatory future-proof.

How does ADVISORI transform Adversarial AI Defense from a cost factor into a strategic enabler for innovation and business growth, and what concrete competitive advantages arise from superior AI Security?

ADVISORI positions Adversarial AI Defense not as a defensive necessity but as a strategic enabler for innovation and growth. Superior AI security creates concrete competitive advantages: accelerated innovation through secure experimentation environments, market differentiation through demonstrable AI reliability, customer trust through transparent security practices, regulatory advantages through proactive compliance, and partnership opportunities through security excellence. We support you in communicating your AI security capabilities as a market differentiator and integrating them into your value proposition. Our approach transforms security from a cost center into a revenue driver by enabling new business models, opening new markets, and creating sustainable competitive advantages. Companies with superior AI security can move faster, take more risks, and ultimately be more innovative than competitors who view security merely as a compliance requirement.

What specific technical mechanisms does ADVISORI implement to protect against Model Poisoning Attacks, and how do these measures ensure the integrity of our Machine Learning models throughout their entire lifecycle?

Model Poisoning Attacks are among the most sophisticated threats to Machine Learning systems, as they can compromise model integrity during the training phase. ADVISORI implements a multi-layered defense strategy: Data Validation and Sanitization with automated detection of anomalous or manipulated training data, Secure Training Pipelines with isolated environments and access controls, Model Integrity Monitoring through cryptographic checksums and version control, Adversarial Training with intentional exposure to attack patterns, and Continuous Validation through regular testing and performance monitoring. Our approach covers the entire ML lifecycle from data collection through model deployment to production monitoring. We implement both preventive measures to avoid poisoning and detective controls to identify compromised models. Through combination of technical safeguards, organizational processes, and continuous monitoring, we ensure that your ML models remain trustworthy and reliable throughout their entire lifecycle.

How does ADVISORI implement robust defense mechanisms against Evasion Attacks in production environments, and what real-time monitoring and response capabilities ensure continuous protection?

Evasion Attacks attempt to manipulate AI system inputs to cause incorrect predictions or decisions. ADVISORI implements multi-layered defense mechanisms: Input Validation and Sanitization with anomaly detection, Adversarial Example Detection using specialized classifiers, Model Robustness Enhancement through adversarial training, Real-time Monitoring with automated threat detection, and Adaptive Defense Systems that learn from attack patterns. Our solutions are specifically designed for production environments and provide continuous protection without impacting system performance. We implement both preventive measures and reactive responses to ensure your AI systems remain reliable even under attack. Through combination of technical safeguards, continuous monitoring, and automated response mechanisms, we create a comprehensive defense that adapts to evolving threats.

What advanced techniques does ADVISORI use to detect and neutralize Backdoor Attacks in AI models, and how do these measures ensure the trustworthiness of models throughout their entire lifecycle?

Backdoor Attacks are particularly insidious as they can remain hidden in models for extended periods. ADVISORI employs advanced detection and neutralization techniques: Model Behavior Analysis to identify suspicious patterns, Trigger Detection using specialized testing methodologies, Model Provenance Tracking with complete audit trails, Backdoor Removal Techniques through model fine-tuning and pruning, and Continuous Validation through regular security testing. Our approach covers the entire model lifecycle from development through deployment to production operation. We implement both technical detection methods and organizational processes to ensure model trustworthiness. Through combination of proactive security measures, continuous monitoring, and rapid response capabilities, we ensure that your AI models remain free from backdoors and other hidden threats.

How does ADVISORI ensure the security of Federated Learning environments against Adversarial Attacks, and what specialized security measures are required for distributed AI training?

Federated Learning presents unique security challenges as training occurs across distributed nodes. ADVISORI implements specialized security measures: Secure Aggregation Protocols to protect model updates, Byzantine-Robust Aggregation to detect and exclude malicious participants, Differential Privacy Mechanisms to protect training data, Client Authentication and Authorization for secure participation, and Anomaly Detection in model updates. Our solutions are specifically designed for federated learning environments and address the unique challenges of distributed AI training. We implement both cryptographic protections and algorithmic safeguards to ensure the integrity of the federated learning process. Through combination of technical security measures, organizational controls, and continuous monitoring, we create a secure federated learning environment that protects against adversarial attacks while maintaining model quality.

How does ADVISORI ensure that Adversarial Defense measures are implemented in full GDPR compliance, and what specific data protection mechanisms are integrated into AI security solutions?

GDPR compliance is essential for AI security solutions, particularly regarding data processing and privacy. ADVISORI ensures full GDPR compliance through: Privacy-by-Design Integration in all security measures, Data Minimization in security monitoring and logging, Transparent Processing with clear documentation, User Rights Implementation for data subject requests, and Data Protection Impact Assessments for security measures. Our solutions are designed to provide robust security while fully respecting data protection requirements. We implement technical and organizational measures that ensure both security and privacy. Through combination of legal expertise, technical implementation, and continuous compliance monitoring, we ensure that your adversarial defense measures are not only effective but also fully GDPR-compliant.

What specific challenges arise in documenting and auditing Adversarial Defense systems, and how does ADVISORI create comprehensive audit trails that meet both technical and regulatory requirements?

Documentation and auditing of Adversarial Defense systems present unique challenges due to their complexity and dynamic nature. ADVISORI addresses these challenges through: Comprehensive Documentation Frameworks covering all security measures, Automated Audit Trail Generation for all security events, Compliance Mapping to regulatory requirements, Regular Security Audits with independent validation, and Continuous Documentation Updates as systems evolve. Our solutions create audit trails that are both technically comprehensive and regulatory compliant. We implement documentation systems that capture all relevant security events while remaining manageable and auditable. Through combination of automated documentation, structured processes, and regular reviews, we ensure that your adversarial defense systems are fully documented and auditable, meeting both technical and regulatory requirements.

How does ADVISORI integrate Adversarial Defense into existing DevOps and MLOps pipelines, and what automation capabilities ensure continuous security without impacting development velocity?

Integration of Adversarial Defense into DevOps and MLOps pipelines is essential for scalable and sustainable AI security. ADVISORI implements seamless integration through: Automated Security Testing in CI/CD pipelines, Security-as-Code with infrastructure automation, Continuous Monitoring and alerting systems, Automated Remediation for common security issues, and Integration with existing development tools. Our solutions are designed to enhance rather than hinder development velocity. We implement security checks that run automatically without manual intervention and provide clear, actionable feedback to development teams. Through combination of automation, integration, and developer-friendly tools, we ensure that security becomes an enabler rather than a bottleneck in your AI development process.

What role does Explainable AI (XAI) play in Adversarial Defense, and how does ADVISORI leverage interpretability to detect and prevent attacks?

Explainable AI plays a crucial role in Adversarial Defense by making model behavior transparent and detectable. ADVISORI leverages XAI techniques for: Attack Detection through behavior analysis, Model Validation to identify suspicious patterns, Trust Building through transparent security measures, Debugging and Improvement of defense mechanisms, and Regulatory Compliance through explainable security. Our approach combines XAI with traditional security measures to create more robust and trustworthy AI systems. We implement interpretability tools that help identify when models are under attack and provide insights into attack mechanisms. Through combination of explainability and security, we create AI systems that are both robust and transparent.

How does ADVISORI address the challenge of Adversarial Attacks in multi-modal AI systems, and what specialized security measures are required for systems processing multiple data types?

Multi-modal AI systems face unique security challenges as attacks can target different modalities or their interactions. ADVISORI implements specialized security measures: Cross-Modal Attack Detection to identify attacks spanning multiple modalities, Modality-Specific Defenses tailored to each data type, Fusion-Level Security protecting the integration of different modalities, Coordinated Defense Strategies across all system components, and Holistic Monitoring covering all modalities. Our solutions are designed specifically for the complexity of multi-modal systems and address the unique attack vectors they present. We implement both modality-specific and cross-modal security measures to create comprehensive protection. Through combination of specialized defenses and holistic security strategies, we ensure that your multi-modal AI systems remain secure against sophisticated attacks.

What is ADVISORI's approach to balancing model performance and adversarial robustness, and how do you ensure that security measures don't unacceptably degrade AI system performance?

Balancing performance and robustness is a critical challenge in Adversarial Defense. ADVISORI employs sophisticated optimization strategies: Performance-Robustness Trade-off Analysis to find optimal balance points, Selective Hardening focusing security on critical components, Adaptive Defense Mechanisms that activate only when needed, Performance Monitoring to track impact of security measures, and Continuous Optimization to improve both security and performance. Our approach ensures that security measures enhance rather than degrade system value. We implement defenses that provide maximum protection with minimal performance impact and continuously optimize this balance. Through combination of careful analysis, selective implementation, and continuous optimization, we create AI systems that are both secure and performant.

How does ADVISORI prepare organizations for emerging threats in Adversarial AI, and what future-proofing strategies ensure long-term security resilience?

Preparing for emerging threats requires proactive strategies and continuous adaptation. ADVISORI implements comprehensive future-proofing measures: Threat Intelligence and research monitoring, Adaptive Defense Systems that evolve with threats, Regular Security Updates and patches, Training and Awareness Programs for teams, and Strategic Planning for long-term security. Our approach ensures that your AI security remains effective against both current and future threats. We continuously monitor the threat landscape, research new attack methods, and update defense strategies accordingly. Through combination of proactive research, adaptive systems, and continuous improvement, we create AI security that remains effective in the face of evolving threats and provides long-term resilience for your AI investments.

How does ADVISORI support organizations in building internal AI Security expertise, and what training and knowledge transfer programs ensure sustainable security capabilities?

Building internal AI Security expertise is essential for long-term security sustainability. ADVISORI provides comprehensive training and knowledge transfer: Customized Training Programs tailored to your team's needs, Hands-on Workshops with practical exercises, Knowledge Transfer Sessions during implementation, Documentation and Best Practices for ongoing reference, and Continuous Learning Support for skill development. Our approach ensures that your team develops the capabilities needed to maintain and evolve AI security independently. We provide both technical training and strategic guidance to build comprehensive security expertise. Through combination of structured training, practical experience, and ongoing support, we enable your organization to develop sustainable AI security capabilities.

What metrics and KPIs does ADVISORI recommend for measuring the effectiveness of Adversarial Defense systems, and how do you support continuous improvement?

Measuring the effectiveness of Adversarial Defense requires comprehensive metrics and continuous monitoring. ADVISORI recommends: Security Metrics tracking attack detection and prevention rates, Performance Metrics monitoring system impact, Compliance Metrics ensuring regulatory adherence, Business Metrics measuring security ROI, and Maturity Metrics tracking security evolution. Our approach provides both technical and business-oriented measurements to demonstrate security value. We implement automated monitoring and reporting systems that provide real-time insights into security effectiveness. Through combination of comprehensive metrics, regular reviews, and continuous optimization, we support ongoing improvement of your adversarial defense systems.

How does ADVISORI address the specific challenges of Adversarial Attacks in edge AI and IoT environments, and what specialized security measures are required for resource-constrained devices?

Edge AI and IoT environments present unique security challenges due to resource constraints and distributed deployment. ADVISORI implements specialized security measures: Lightweight Defense Mechanisms optimized for resource constraints, Distributed Security Architecture across edge and cloud, Secure Update Mechanisms for defense evolution, Resource-Aware Monitoring that minimizes overhead, and Coordinated Defense across edge devices. Our solutions are specifically designed for the constraints and requirements of edge environments. We implement security measures that provide robust protection while respecting resource limitations. Through combination of optimized algorithms, distributed architectures, and efficient monitoring, we create effective adversarial defense for edge AI and IoT systems.

What is ADVISORI's approach to incident response and recovery for Adversarial Attacks, and what processes ensure rapid detection, containment, and remediation?

Effective incident response is critical for minimizing the impact of Adversarial Attacks. ADVISORI implements comprehensive incident response capabilities: Automated Detection Systems for rapid threat identification, Incident Response Playbooks with predefined procedures, Containment Strategies to limit attack impact, Recovery Procedures for system restoration, and Post-Incident Analysis for continuous improvement. Our approach ensures that your organization can respond quickly and effectively to adversarial attacks. We implement both automated responses for common scenarios and structured processes for complex incidents. Through combination of automation, clear procedures, and expert support, we enable rapid and effective incident response that minimizes business impact.

How does ADVISORI integrate Adversarial Defense with broader cybersecurity and risk management frameworks, and what holistic security approach ensures comprehensive protection?

Adversarial Defense must be integrated into broader security and risk management frameworks for comprehensive protection. ADVISORI implements holistic integration: Alignment with Security Frameworks (ISO 27001, NIST, etc.), Integration with Risk Management processes, Coordination with Cybersecurity Operations, Compliance with Regulatory Requirements, and Strategic Security Planning. Our approach ensures that AI security is not isolated but integrated into your overall security posture. We work with your existing security teams and processes to create seamless integration. Through combination of technical integration, process alignment, and strategic coordination, we create comprehensive security that protects your AI systems within the context of your broader security and risk management framework.

Erfolgsgeschichten

Entdecken Sie, wie wir Unternehmen bei ihrer digitalen Transformation unterstützen

Generative KI in der Fertigung

Bosch

KI-Prozessoptimierung für bessere Produktionseffizienz

Fallstudie
BOSCH KI-Prozessoptimierung für bessere Produktionseffizienz

Ergebnisse

Reduzierung der Implementierungszeit von AI-Anwendungen auf wenige Wochen
Verbesserung der Produktqualität durch frühzeitige Fehlererkennung
Steigerung der Effizienz in der Fertigung durch reduzierte Downtime

AI Automatisierung in der Produktion

Festo

Intelligente Vernetzung für zukunftsfähige Produktionssysteme

Fallstudie
FESTO AI Case Study

Ergebnisse

Verbesserung der Produktionsgeschwindigkeit und Flexibilität
Reduzierung der Herstellungskosten durch effizientere Ressourcennutzung
Erhöhung der Kundenzufriedenheit durch personalisierte Produkte

KI-gestützte Fertigungsoptimierung

Siemens

Smarte Fertigungslösungen für maximale Wertschöpfung

Fallstudie
Case study image for KI-gestützte Fertigungsoptimierung

Ergebnisse

Erhebliche Steigerung der Produktionsleistung
Reduzierung von Downtime und Produktionskosten
Verbesserung der Nachhaltigkeit durch effizientere Ressourcennutzung

Digitalisierung im Stahlhandel

Klöckner & Co

Digitalisierung im Stahlhandel

Fallstudie
Digitalisierung im Stahlhandel - Klöckner & Co

Ergebnisse

Über 2 Milliarden Euro Umsatz jährlich über digitale Kanäle
Ziel, bis 2022 60% des Umsatzes online zu erzielen
Verbesserung der Kundenzufriedenheit durch automatisierte Prozesse

Lassen Sie uns

Zusammenarbeiten!

Ist Ihr Unternehmen bereit für den nächsten Schritt in die digitale Zukunft? Kontaktieren Sie uns für eine persönliche Beratung.

Ihr strategischer Erfolg beginnt hier

Unsere Kunden vertrauen auf unsere Expertise in digitaler Transformation, Compliance und Risikomanagement

Bereit für den nächsten Schritt?

Vereinbaren Sie jetzt ein strategisches Beratungsgespräch mit unseren Experten

30 Minuten • Unverbindlich • Sofort verfügbar

Zur optimalen Vorbereitung Ihres Strategiegesprächs:

Ihre strategischen Ziele und Herausforderungen
Gewünschte Geschäftsergebnisse und ROI-Erwartungen
Aktuelle Compliance- und Risikosituation
Stakeholder und Entscheidungsträger im Projekt

Bevorzugen Sie direkten Kontakt?

Direkte Hotline für Entscheidungsträger

Strategische Anfragen per E-Mail

Detaillierte Projektanfrage

Für komplexe Anfragen oder wenn Sie spezifische Informationen vorab übermitteln möchten

Aktuelle Insights zu Adversarial AI Attacks

Entdecken Sie unsere neuesten Artikel, Expertenwissen und praktischen Ratgeber rund um Adversarial AI Attacks

EZB-Leitfaden für interne Modelle: Strategische Orientierung für Banken in der neuen Regulierungslandschaft
Risikomanagement

EZB-Leitfaden für interne Modelle: Strategische Orientierung für Banken in der neuen Regulierungslandschaft

29. Juli 2025
8 Min.

Die Juli-2025-Revision des EZB-Leitfadens verpflichtet Banken, interne Modelle strategisch neu auszurichten. Kernpunkte: 1) Künstliche Intelligenz und Machine Learning sind zulässig, jedoch nur in erklärbarer Form und unter strenger Governance. 2) Das Top-Management trägt explizit die Verantwortung für Qualität und Compliance aller Modelle. 3) CRR3-Vorgaben und Klimarisiken müssen proaktiv in Kredit-, Markt- und Kontrahentenrisikomodelle integriert werden. 4) Genehmigte Modelländerungen sind innerhalb von drei Monaten umzusetzen, was agile IT-Architekturen und automatisierte Validierungsprozesse erfordert. Institute, die frühzeitig Explainable-AI-Kompetenzen, robuste ESG-Datenbanken und modulare Systeme aufbauen, verwandeln die verschärften Anforderungen in einen nachhaltigen Wettbewerbsvorteil.

Andreas Krekel
Lesen
 Erklärbare KI (XAI) in der Softwarearchitektur: Von der Black Box zum strategischen Werkzeug
Digitale Transformation

Erklärbare KI (XAI) in der Softwarearchitektur: Von der Black Box zum strategischen Werkzeug

24. Juni 2025
5 Min.

Verwandeln Sie Ihre KI von einer undurchsichtigen Black Box in einen nachvollziehbaren, vertrauenswürdigen Geschäftspartner.

Arosan Annalingam
Lesen
KI Softwarearchitektur: Risiken beherrschen & strategische Vorteile sichern
Digitale Transformation

KI Softwarearchitektur: Risiken beherrschen & strategische Vorteile sichern

19. Juni 2025
5 Min.

KI verändert Softwarearchitektur fundamental. Erkennen Sie die Risiken von „Blackbox“-Verhalten bis zu versteckten Kosten und lernen Sie, wie Sie durchdachte Architekturen für robuste KI-Systeme gestalten. Sichern Sie jetzt Ihre Zukunftsfähigkeit.

Arosan Annalingam
Lesen
ChatGPT-Ausfall: Warum deutsche Unternehmen eigene KI-Lösungen brauchen
Künstliche Intelligenz - KI

ChatGPT-Ausfall: Warum deutsche Unternehmen eigene KI-Lösungen brauchen

10. Juni 2025
5 Min.

Der siebenstündige ChatGPT-Ausfall vom 10. Juni 2025 zeigt deutschen Unternehmen die kritischen Risiken zentralisierter KI-Dienste auf.

Phil Hansen
Lesen
KI-Risiko: Copilot, ChatGPT & Co. -  Wenn externe KI durch MCP's zu interner Spionage wird
Künstliche Intelligenz - KI

KI-Risiko: Copilot, ChatGPT & Co. - Wenn externe KI durch MCP's zu interner Spionage wird

9. Juni 2025
5 Min.

KI Risiken wie Prompt Injection & Tool Poisoning bedrohen Ihr Unternehmen. Schützen Sie geistiges Eigentum mit MCP-Sicherheitsarchitektur. Praxisleitfaden zur Anwendung im eignen Unternehmen.

Boris Friedrich
Lesen
Live Chatbot Hacking - Wie Microsoft, OpenAI, Google & Co zum unsichtbaren Risiko für Ihr geistiges Eigentum werden
Informationssicherheit

Live Chatbot Hacking - Wie Microsoft, OpenAI, Google & Co zum unsichtbaren Risiko für Ihr geistiges Eigentum werden

8. Juni 2025
7 Min.

Live-Hacking-Demonstrationen zeigen schockierend einfach: KI-Assistenten lassen sich mit harmlosen Nachrichten manipulieren.

Boris Friedrich
Lesen
Alle Artikel ansehen