Advance Notice: Open Code Mission and Immutable AI Labs Announce Strategic Alliance to Secure the AI Frontier

ADVANCE NOTICE: Upcoming Global Press Release

Scheduled Distribution via PR Newswire (Cision), Business Wire, and GlobeNewswire
Friday, September 5, 2025 | 1:00 PM EST

Open Code Mission and Immutable AI Labs Announce Strategic Alliance to Secure the AI Frontier

London, September 4, 2025 — Open Code Mission and Immutable AI Labs will tomorrow formally announce the details of a global partnership designed to confront one of the most urgent challenges of the AI era: the widening security gap created by the unprecedented acceleration of artificial intelligence and the lagging pace of defensive cybersecurity tools.

Strategic Integration: DeNIL™ Enhanced

The alliance integrates Immutable AI Labs' anomaly-detection technology directly into the Open Code Mission flagship identity governance product, DeNIL™ — The Identity Protection Framework.

Together, the companies are delivering a unified platform that provides enterprises with real-time visibility into identity usage and digital rights violations.

Comprehensive AI Threat Coverage

Early-Stage Emerging Threats

→ Membership Inference Attacks (Early-Stage)
Determining whether specific private data points were included in a model's training set.

→ Reinforcement Feedback Poisoning (Early-Stage)
Corrupting feedback loops in reinforcement learning to bias or destabilize future model outputs.

→ Side-Channel Leakage on AI Accelerators (Research Frontier)
Exploiting timing, cache, or power signals to extract secrets from the hardware running AI workloads.

Current AI Malware & Ransomware

→ PromptLock Ransomware and Copycat AI Malware
Defending against the first generation of in-the-wild ransomware embedded inside large language models.

→ Model Inversion & Data Leakage
Extracting sensitive or proprietary training data from model outputs or gradients.

→ Adversarial Example Attacks
Subtle manipulations to inputs that cause misclassification or system failure while appearing benign to humans.

Supply Chain & Infrastructure Threats

→ Supply Chain & Model Poisoning
Corrupting datasets, pre-trained models, or third-party components to inject malicious behaviors.

→ API & Interface Exploitation
Manipulating unsecured or overexposed AI APIs to exfiltrate data or escalate privileges.

→ Rogue and Shadow AI Deployments
Detecting unauthorized AI use inside enterprises that bypass security review.

Edge & Distributed AI Security

→ Edge AI Probing & Model Exploitation
Targeting models deployed at the network edge or on devices to steal IP or bypass protections.

→ Prompt Injection & Adversarial Manipulation
Crafting malicious prompts to override instructions, extract data, or hijack responses.

Next-Generation AI Threats

→ Emerging Anomalies & Novel Attack Vectors
Identifying self-reinforcing errors, cascading failures, and adversarial patterns unique to AI systems.

→ Autonomous Agent Drift & Emergent Exploits
Inducing uncontrolled behavior, task hijacking, or mission drift in self-learning and multi-agent systems.

The Security Gap Challenge

Unprecedented AI Acceleration

• Models doubling in capability every 6 months
• Enterprise AI adoption outpacing security frameworks
• Novel attack vectors emerging faster than detection capabilities

Lagging Defensive Tools

• Traditional cybersecurity focused on conventional threats
• Limited understanding of AI-specific vulnerabilities
• Reactive rather than predictive security approaches

Enterprise Impact

• Data Exposure: Sensitive training data leaked through model outputs
• IP Theft: Proprietary models stolen via API exploitation
• Operational Disruption: AI systems compromised, corrupting business processes
• Regulatory Risk: Non-compliance with emerging AI governance frameworks

DeNIL™: The Identity Protection Framework Enhanced

Real-Time Identity Governance

• Live monitoring of identity usage across enterprise infrastructure
• Anomaly detection powered by Immutable AI Labs' advanced algorithms
• Identity intelligence specifically designed for digital rights protection
• Automated response capabilities for immediate identity violation containment

Comprehensive Coverage

• On-premise identity systems running in corporate data centers
• Cloud-deployed identity governance across major platforms
• Edge AI devices at remote locations and IoT endpoints
• Third-party AI services integrated into business workflows

Executive Dashboard

• C-suite visibility into AI security posture
• Risk quantification with business impact analysis
• Compliance tracking for AI governance requirements
• Strategic planning insights for AI security investments

Industry First: Unified AI Defense Platform

Detection Capabilities

• Behavioral analysis identifying deviations from normal AI operation
• Pattern recognition detecting known and unknown attack signatures
• Predictive modeling anticipating emerging threat vectors
• Cross-system correlation linking attacks across multiple AI deployments

Response Automation

• Immediate containment of detected threats
• Automated quarantine of compromised AI systems
• Escalation protocols for critical security incidents
• Recovery procedures to restore AI system integrity

Intelligence Integration

• Global threat feeds with AI-specific intelligence
• Research insights from academic and industry sources
• Community sharing of anonymized threat data
• Vendor coordination for supply chain security

Market Timing: Critical Need

Enterprise AI Adoption Surge

• 78% of enterprises now using AI in production
• Average of 15 AI systems per large organization
• $2.3 trillion projected AI market by 2030

Security Incident Increase

• 340% rise in AI-targeted attacks in 2025
• Average breach cost for AI systems: $4.8 million
• 67% of enterprises report AI security skill gaps

Regulatory Pressure

• EU AI Act implementation requiring security compliance
• NIST AI Risk Management Framework adoption
• Industry-specific AI governance requirements

Partnership Synergies

Open Code Mission Brings:

• DeNIL™ platform with proven enterprise deployment
• Identity governance interface designed for rights holder decision-making
• Enterprise relationships across Fortune 500 companies
• Regulatory expertise in identity and digital rights compliance

Immutable AI Labs Contributes:

• Advanced anomaly detection specifically for AI systems
• Research-backed algorithms from cutting-edge AI security research
• Novel threat identification capabilities for emerging attack vectors
• Deep learning expertise in AI system behavior analysis

Official Announcement Details

The full strategic collaboration will be detailed in the official press release at:

📅 Friday, September 5, 2025
⏰ 1:00 PM Eastern Standard Time

Distribution Channels:

• PR Newswire (Cision) - Global wire service
• Business Wire - Financial and business media
• GlobeNewswire - International distribution

Industry Impact Expectations

Immediate Benefits:

• Enhanced detection of AI-specific threats for enterprise customers
• Unified dashboard reducing complexity for security teams
• Faster response times through automated threat containment
• Improved compliance with emerging AI governance requirements

Long-term Implications:

• Industry standard for AI security monitoring
• Ecosystem development around AI threat intelligence
• Research acceleration in AI security methodologies
• Market leadership in enterprise AI defense

Conclusion: Securing the AI Future

This strategic alliance represents a critical milestone in the evolution of AI security, bringing together proven enterprise cybersecurity platforms with cutting-edge AI threat detection research.

As artificial intelligence becomes increasingly central to business operations, the security of these systems becomes paramount to organizational resilience and competitive advantage.

The future of AI is only as secure as the defenses we build today.

Full details of this strategic alliance will be announced in tomorrow's official press release. Stay tuned for comprehensive coverage of this groundbreaking partnership in AI security.