Dear Valued Customer,
Every organization is navigating a more complex security environment. The common priority is to protect trust while keeping operations moving. At CorePlus, trust is the foundation of every customer relationship. Thank you for allowing us to support your organization as cybersecurity, compliance, and technology risk continue to evolve. We are grateful for the confidence you place in our team, and we remain committed to helping you protect your people, your data, your operations, and the communities you serve.
Why This Matters Now
Cyber risk is no longer limited to isolated criminal activity. Organizations are facing a blended environment where ransomware groups, nation-state actors, hacktivists, and opportunistic attackers often use similar tactics. The most important shift is that attackers increasingly look for leverage: stolen data, disrupted operations, third-party access, and public pressure.
Iranian Cyber Impact: A Practical Assessment
Iranian-linked cyber activity should be viewed as a realistic, event-driven risk rather than a headline-only concern. During periods of regional conflict, sanctions pressure, or direct confrontation with U.S. interests, Iranian-aligned and opportunistic actors may increase phishing, credential attacks, website defacement, denial-of-service activity, exploitation of vulnerable internet-facing systems, and attempts to use third-party access as a foothold. The most likely impact is not a custom attack against every organization; it is opportunistic pressure against exposed VPNs, unpatched firewalls, weak remote access, cloud misconfigurations, and reused credentials.
Iranian-linked cyber activity is one example of how geopolitical tension can create business risk. Most organizations should focus less on whether they are a named target and more on whether exposed systems, weak access controls, unpatched software, and third-party connections make them easy to compromise during elevated threat periods.
Forward-Looking Quantum Threat Assessment
Quantum computing is not an immediate mass-market threat, but it is a present-day planning issue. Practical systems capable of breaking RSA and elliptic-curve cryptography at scale remain expensive, fragile, and concentrated among nation-states, major technology companies, and research institutions. The real risk is the migration window: cryptography is embedded in identity systems, VPNs, certificates, cloud services, applications, backups, and vendor platforms. Data stolen today may retain value long enough to be decrypted later, making cryptographic inventory and crypto-agility practical priorities now.
Quantum computing is a long-term technology shift with present-day security implications. Organizations should identify long-lived sensitive data, understand where cryptography is used, ask vendors about post-quantum roadmaps, and design systems so algorithms can be changed without major redesign.
The Current Threat Landscape
Current breach and threat intelligence reporting shows a consistent shift: attackers are exploiting software vulnerabilities faster, relying on trusted identities and third-party access, using cloud and SaaS integrations as paths to data, and applying AI to accelerate phishing, reconnaissance, and intrusion activity. Verizon's latest DBIR reporting indicates vulnerability exploitation has become a leading breach path, ransomware remains present in a large share of breaches, the human element is still a major factor, and supply-chain involvement continues to rise. Google Cloud threat reporting highlights increased exploitation of third-party software and SaaS trust relationships. CrowdStrike reports sharply compressed breakout times and AI-enabled adversary activity, while Palo Alto Networks Unit 42 emphasizes the role of weak identity controls and over-permissioned cloud access. IBM's 2025 breach research adds that shadow AI and insufficient AI governance are now measurable breach-cost and access-control issues. The business implication is that security programs should combine employee awareness with faster patching, MFA, better detection of data movement, tested incident response, AI-use governance, and stronger third-party oversight.
Across industries, the current threat landscape points to the same practical actions: patch faster, use MFA, reduce third-party risk, monitor for ransomware-related data theft, train employees for mobile and AI-enabled phishing, govern employee AI use, and test incident response plans against realistic scenarios involving cloud, SaaS, and vendor dependencies.
Employee AI Risk & the Rise of AI Governance
Employee AI risk is now part of cybersecurity and compliance, not a separate innovation topic. Staff may use public AI tools to summarize emails, analyze spreadsheets, draft customer communications, troubleshoot code, review contracts, or process support tickets. Without policy and technical guardrails, that can expose confidential data, protected personal information, customer records, credentials, trade secrets, or regulated business information. AI governance should define approved tools, prohibited data inputs, human review requirements, logging expectations, vendor review, retention rules, and escalation paths for AI-related incidents.
Employee AI risk cuts across every sector. Staff may use AI to draft messages, summarize documents, analyze data, troubleshoot code, review contracts, or support customers. Without governance, that can expose sensitive data and create inaccurate, biased, or noncompliant outputs. A practical AI governance program should define approved tools, data-handling rules, review requirements, vendor due diligence, logging, and incident escalation.
Recent Regulatory & Breach Themes
AI governance is becoming a regulatory expectation. NIST provides a voluntary AI risk management framework, the EU AI Act creates a risk-based regulatory model, and several U.S. state and sector rules are moving toward accountability for high-risk AI use. Organizations should treat AI governance as part of enterprise risk management, not just IT policy.
Recommended Priorities
- Publish an AI acceptable-use policy and approved-tool list.
- Classify sensitive data and prohibit regulated data in unapproved AI tools.
- Maintain MFA, vulnerability management, and endpoint monitoring across the environment.
- Build a cryptographic inventory and identify long-lived sensitive data.
- Run incident response exercises covering ransomware, vendor outage, AI data exposure, and cyber disclosure.
Townsend Bell — promoted to Support Team Lead
Townsend Bell joined CorePlus as a summer 2024 intern on the Operations team, then continued part-time as an Operations Analyst while finishing school. After graduating summa cum laude from Texas State University with a B.S. in Computer Information Systems, he moved into Service Delivery as a Systems Analyst — and has now earned a well-deserved promotion to Support Team Lead. His journey reflects the hard work, adaptability, and growth opportunities that define life at CorePlus. Congratulations, Townsend!
In Closing
Thank you for continuing to trust CorePlus. We value your partnership and look forward to helping your organization move forward with confidence in a changing risk environment.