IT Consulting Services
Whether you’re looking to transform your current IT infrastructure or want to explore new technological horizons, Mindcore’s IT consulting services provide the guidance, expertise, and tools necessary to elevate your performance to new heights.

Managed IT Services
We monitor and maintain your network, servers, and systems to prevent IT issues from becoming a major hassle with our managed IT services.

Co-Managed IT Services
Mindcore’s co-managed IT services in New Jersey and Florida provide you with the best of both worlds! Our team of experienced IT professionals will work together with your internal IT team to provide a comprehensive range of managed IT services. You’ll have access to our expertise, while still maintaining control over your IT environment.

IT Support Services
Whether it’s software issues, hardware troubleshooting, or network problems, our IT support team is here to assist you 24/7.

Cyber Security Services
Protect your company data, network, and applications from cyber attacks with our expert cyber security solutions & services.

Cloud Services
Get easy and secure access to your applications, documents, and files on the cloud with our cloud computing services to save you time and money.

Microsoft 365 & Teams Support
We are proud partners of Microsoft, providing Microsoft Teams solutions and Microsoft 365 consulting and management services tailored to your business needs.

The AI Security Threat Landscape Enterprises Face in 2026
The enterprise security environment has fundamentally changed. AI has expanded the attack surface in ways that most security programs have not yet fully addressed. These are the threats Mindcore is built to counter:
AI-powered cyberattacks are accelerating
Threat actors now use machine learning to automate reconnaissance, generate convincing phishing messages at scale, and modify malware in real time to evade detection. Attacks that once required hours of manual effort now execute in seconds.
AI agents are creating unmapped attack surfaces
88% of organizations reported confirmed or suspected AI agent security incidents in the past year. The average enterprise now manages dozens of deployed AI agents, many running without security oversight, logging, or accountability. Each undiscovered agent is an unmapped access path.
Prompt injection attacks require no traditional exploit
Attackers embed malicious instructions in documents, emails, and API responses. An AI agent reads the content, interprets the embedded instruction as a legitimate task, and executes it using real credentials through a real access path. No malware. No exploit code. Just text.
Shadow AI is creating governance and compliance gaps
Employees across every business unit are adopting AI tools without IT security review or compliance validation. Shadow AI security incidents cost an average of $670,000 more than standard incidents, driven by delayed detection and difficulty scoping the exposure.
Model-level safeguards alone are insufficient
Research from Stanford’s Trustworthy AI Research Lab found that model-level guardrails alone are insufficient: fine-tuning attacks bypassed leading AI models in the majority of tested cases. Execution-layer security controls are essential, not optional.
Traditional security tools were not built for AI environments
Most enterprise security stacks were designed for human users and traditional applications. They cannot fully track how AI systems interact with identities, sensitive data, or enterprise resources, leaving critical blind spots in the security posture.
Addressing these threats requires a security provider that understands both the AI technology landscape and the enterprise security architecture needed to protect it. Mindcore delivers both within a single, accountable managed engagement.
Not sure how exposed your AI environment is?
Request a no-obligation AI security posture review and find out where your gaps are before an attacker does.
The Scale of Enterprise AI Security Risk
The data on AI security incidents in 2026 is unambiguous. Enterprises that have not addressed their AI-specific security exposure are already experiencing the consequences:
88%
of organizations reported confirmed or suspected AI agent security incidents in the past year
$670K
additional average cost of shadow AI security incidents compared to standard incidents
24.4%
of organizations have full visibility into which AI agents are communicating with each other
80.9%
of technical teams have moved past AI planning into active testing or full deployment
37
average number of deployed AI agents per enterprise organization, growing every quarter
92.7%
of healthcare organizations reported confirmed or suspected AI agent security incidents
Our AI Security Services & Solutions
Mindcore’s AI security capabilities cover both dimensions of the AI security challenge: using AI to defend your enterprise at machine speed, and protecting the AI systems you deploy from the attacks designed to exploit them.
AI-Powered Threat Detection
Mindcore deploys AI-driven threat detection systems that analyze behavioral patterns, network traffic, and security signals at machine speed and scale, identifying threats that rule-based detection systems miss. Our systems process signals across endpoint, cloud, network, and AI environments in a unified detection architecture.
AI Agent Security & Governance
We inventory, govern, and monitor every AI agent operating in your environment, establishing verified identities, enforcing least-privilege access controls, and applying Zero Trust principles to agentic workloads. We ensure every agent is accountable to a defined owner with a documented scope of access.
Automated Incident Response
Mindcore’s AI-enhanced security operations automate incident triage, investigation, and containment workflows, reducing mean time to respond from hours to minutes. Human analysts are engaged at the judgment layer while AI handles execution-speed response actions.
Behavioral Analytics & Insider Threat Detection
We deploy behavioral analytics that establish baseline activity patterns for users, devices, and AI systems, automatically flagging deviations that indicate credential compromise, insider threats, or unauthorized AI agent behavior before they result in a breach.
Shadow AI Discovery & Control
Mindcore identifies and maps every AI application and agent operating across your enterprise environment, including those deployed without IT security review. We establish governance policies, access controls, and monitoring coverage for your full AI inventory.
Prompt Injection Defense
We implement runtime guardrails and input-output monitoring for AI systems that process external content, protecting against prompt injection attacks that attempt to manipulate AI agents into unauthorized actions using embedded instructions in documents, emails, and API responses.
AI Security Posture Management (AISPM)
Mindcore delivers continuous assessment of your AI security posture across models, agents, data pipelines, and integrations, identifying misconfigurations, access control gaps, and compliance deviations before they are exploited.
SIEM, SOAR & XDR Integration
We integrate AI-enhanced security capabilities with your existing enterprise security infrastructure, including SIEM, SOAR, and XDR platforms, creating a unified security operations environment with AI-accelerated detection and response across all data sources.
Ready to secure your AI environment?
Talk to a Mindcore AI security specialist about your specific environment and threat exposure.
How Mindcore Delivers AI Security for Enterprise
Every Mindcore AI security engagement follows a structured delivery model that establishes visibility, closes gaps, deploys controls, and maintains continuous protection, all within a defined compliance framework.
Phase 1: AI Security Assessment
We begin with a comprehensive assessment of your current AI security posture, inventorying AI tools, agents, and models operating across your environment, mapping their access paths, and evaluating your existing security controls against the AI-specific threat landscape. This phase produces a gap analysis with risk-ranked findings and remediation priorities.
Phase 2: Architecture & Control Design
Our security engineers design the AI security architecture for your environment, defining detection controls, governance policies, access management frameworks, incident response playbooks, and compliance mapping. Every control is designed to integrate with your existing security stack.
Phase 3: Deployment & Integration
We deploy AI security controls and integrate them with your existing SIEM, SOAR, XDR, and identity management infrastructure. This phase includes Shadow AI discovery, AI agent identity enrollment, behavioral analytics baseline establishment, and prompt injection defense implementation.
Phase 4: Security Awareness & Training
We deliver targeted security awareness training for teams working with AI systems, covering responsible AI use, prompt injection risks, shadow AI governance policies, and incident reporting procedures. Human behavior remains a critical layer of the AI security architecture.
Phase 5: 24/7 Managed Security Operations
Mindcore’s Security Operations Center takes over continuous monitoring, threat detection, incident response, and security optimization for your AI environment. Monthly security reviews, threat intelligence briefings, and proactive posture recommendations are included in every managed engagement.
Want to walk through this engagement model for your organization?
Schedule a consultation and our AI security team will assess your environment and outline a protection roadmap.
AI Security Compliance Across Regulated Industries
For enterprises in regulated industries, AI security is not only a technical requirement. It is a compliance obligation. Mindcore’s AI security services are delivered within a framework that addresses the most demanding regulatory standards:
SOC 2 Type II – Security, availability, and confidentiality controls for AI systems and data
ISO 27001 – Information security management including AI system governance
HIPAA – Protection of PHI processed by AI systems in healthcare environments
PCI DSS – Security of payment data accessed or processed by AI workflows
GDPR – Privacy controls for personal data used in AI model training and inference
DORA – Digital operational resilience requirements for AI in financial sector entities
EU AI Act – Compliance obligations for high-risk AI systems in regulated use cases
NIST AI RMF – Risk management framework for responsible AI governance and security

Why Enterprise Leaders Choose Mindcore for AI Security
There is no shortage of cybersecurity providers. What distinguishes Mindcore in the AI security space is a combination of security depth, AI expertise, compliance coverage, and operational accountability that most providers cannot deliver together.
30+ Years as an Enterprise Security Provider
Mindcore has operated at the intersection of enterprise IT and cybersecurity for over three decades. Our recognition as a Global Top 250 MSSP reflects a sustained track record of protecting complex, regulated enterprise environments. We bring that institutional security expertise to every AI security engagement.
AI Security Built on a Cybersecurity Foundation
Most AI service providers add security as an afterthought. For Mindcore, security is the foundation. Every AI system we deploy, monitor, or protect is evaluated through the same rigorous security lens we apply to our managed cybersecurity engagements, with access controls, encryption, audit logging, and compliance monitoring as baseline requirements.
Coverage Across Both Dimensions of AI Security
Mindcore protects your enterprise in both directions: we use AI to strengthen your defenses against all threats, and we protect your AI systems, agents, and workflows from the attacks specifically designed to target them. This dual coverage is essential in 2026 and most providers deliver only one side.

Compliance-Integrated Security Operations
Our AI security services are delivered within a compliance framework aligned to SOC 2 Type II, ISO 27001, HIPAA, PCI DSS, GDPR, DORA, and the EU AI Act. Every security control we implement is mapped to your applicable regulatory obligations, and our 24/7 Operations Center includes continuous compliance monitoring.
24/7 AI Security Operations Center
Mindcore’s Security Operations Center operates around the clock, providing continuous monitoring, threat detection, incident response, and security optimization for your AI environment and enterprise infrastructure. SLA-backed response commitments mean you know exactly what to expect when an incident occurs.
Single Point of Accountability
Security incidents do not wait for handoffs between vendors. Mindcore serves as a single, accountable security partner responsible for your AI security posture, your broader cybersecurity program, and your compliance obligations, with no gaps in coverage and no ambiguity about who owns the response.
AI Security Solutions for Regulated, High-Stakes Industries
Mindcore’s AI security expertise is concentrated in industries where the consequences of a security failure are most significant and regulatory requirements are most demanding.
Financial Services
Protect trading systems, fraud detection models, client data workflows, and AI-driven compliance reporting with AI security controls mapped to FINRA, SEC, DORA, and SOX requirements. Detect AI agent anomalies in high-frequency automated environments before they become material incidents.
Healthcare
Secure AI systems handling PHI across clinical documentation, revenue cycle, and administrative automation with HIPAA-compliant AI security controls. Protect against prompt injection and data exfiltration in AI workflows that access patient records and clinical data.
Legal & Law Firms
Protect AI systems used for contract analysis, matter management, and document review with security controls designed for attorney-client privilege, data confidentiality, and bar association compliance requirements.
Insurance
Secure AI models deployed in underwriting, claims adjudication, and fraud detection against adversarial manipulation and data exposure, with security controls mapped to state regulatory requirements and carrier data governance obligations.
Manufacturing
Protect AI systems deployed across production environments, supply chain operations, and quality control workflows, including OT and IT convergence environments where AI agent activity requires strict access governance and anomaly monitoring.
Accounting & Financial Advisory
Secure AI systems handling audit data, financial reconciliation, and client reporting against unauthorized access and model manipulation, with controls designed for accuracy, traceability, and professional standards compliance.
Led by Enterprise Security Experts With Decades of Real-World Experience

Matt Rosenthal
President & CEO, Mindcore Technologies
Matt Rosenthal has spent more than 30 years at the intersection of enterprise technology and cybersecurity. As President and CEO of Mindcore Technologies, Matt has led the development of advanced security programs for hundreds of organizations across regulated industries, from foundational cybersecurity architecture through cloud security and, most recently, AI security governance.
Under Matt’s leadership, Mindcore has earned recognition as a Global Top 250 MSSP and built one of the most comprehensive compliance frameworks in the managed security industry. His approach to AI security is grounded in the conviction that securing AI systems requires the same disciplined, governance-first methodology as securing any critical enterprise infrastructure.
Frequently Asked Questions: AI Security Services
AI security services are managed cybersecurity capabilities that address the two dimensions of AI-related security risk in enterprise environments. The first dimension is using artificial intelligence to enhance threat detection, automate incident response, and strengthen security operations against all types of attacks. The second dimension is protecting an organization’s AI systems, agents, models, and workflows from attacks specifically designed to target them, including prompt injection, model manipulation, shadow AI exploitation, and AI agent abuse. In 2026, both dimensions are essential components of a comprehensive enterprise security posture.
AI in security refers to the application of artificial intelligence and machine learning to cybersecurity operations. AI enables security systems to process threat signals at machine speed and scale, detect behavioral anomalies that rule-based systems miss, automate triage and response workflows, and adapt to evolving attack patterns in real time. For enterprises, this matters because cyberattackers are already weaponizing AI to scale phishing campaigns, automate intrusions, and modify malware to evade detection. Organizations that do not deploy AI in their security operations are defending at human speed against threats that move at machine speed.
AI agent security is the practice of governing, monitoring, and protecting the AI agents deployed across an enterprise environment. AI agents can autonomously trigger workflows, access data systems, call external APIs, and execute actions using enterprise credentials. This autonomy creates a significant security risk: 88% of organizations reported confirmed or suspected AI agent security incidents in the past year, yet only a minority of enterprises have full visibility into which agents are operating and what access they have. Mindcore addresses this risk by inventorying every agent, assigning verified identities, enforcing least-privilege access controls, and applying continuous behavioral monitoring.
Prompt injection is an attack technique where malicious instructions are embedded in content that an AI agent will process, such as a document, email, or API response. The agent reads the embedded instruction and executes it as a legitimate task using its existing credentials and access. These attacks require no malware and no traditional exploit code. Mindcore protects against prompt injection through runtime input-output monitoring, content validation controls, and guardrails that prevent AI systems from acting on instructions that fall outside their defined operational scope.
Traditional managed security services are designed to protect networks, endpoints, and applications from conventional cyber threats. Mindcore’s AI-enhanced security services go further in two ways. First, we apply AI to accelerate and enhance detection and response capabilities across your entire security environment. Second, we extend security coverage to your AI-specific attack surface: the models, agents, prompts, data pipelines, and integrations that traditional security tools were not built to protect. As an AISP with 30+ years of enterprise security experience, Mindcore delivers both layers within a single, accountable managed engagement.
Mindcore’s AI security services are delivered within a compliance framework covering SOC 2 Type II, ISO 27001, HIPAA, PCI DSS, GDPR, DORA, and the EU AI Act. Every security control we implement is mapped to your applicable regulatory obligations. Our 24/7 Security Operations Center includes continuous compliance monitoring, automated alerting for policy deviations, and regular audit readiness reviews. For regulated industries including financial services, healthcare, and legal, this compliance integration is a core component of the engagement.
Mindcore’s 24/7 Security Operations Center provides SLA-backed incident response with response time commitments based on severity classification. For critical incidents, our team initiates response protocols within defined time windows. AI-powered automated response capabilities handle initial containment and triage at machine speed, while our security analysts manage investigation, escalation, and remediation. Every engagement includes a documented incident response plan with defined communication protocols and escalation paths.
Shadow AI refers to AI tools and agents deployed across the enterprise without IT security review or governance oversight. Mindcore addresses this through our Shadow AI Discovery capability, which identifies and maps every AI application and agent operating in your environment, including those deployed without central authorization. Once discovered, we assess the risk profile of each system, establish governance policies and access controls, and integrate them into your monitoring coverage. Shadow AI incidents cost enterprises significantly more than standard incidents on average, making discovery and governance a high-priority risk reduction measure.
Secure Your Enterprise AI Environment With Mindcore
The organizations that will emerge from this period of AI adoption with a strong security posture are the ones that treated AI security as a strategic priority, not a compliance checkbox. They inventoried their AI systems, governed their agents, secured their execution layer, and partnered with a security provider that understood both sides of the challenge.
Mindcore is that partner. Our enterprise AI security specialists are ready to assess your current exposure, close your most critical gaps, and deploy the continuous protection your AI environment requires.
No assumptions about your current posture. No generic security templates. A direct assessment of where you are exposed, and a clear, actionable plan to secure your AI environment.