Research & Analysis
AI-Powered Attacks Against Financial Services: Techniques, Targets, and Defenses
A detailed analysis of how AI is being deployed against financial services organizations, covering synthetic identity fraud at scale, deepfake-enabled wire fraud, AI-generated spear-phishing targeting treasury and finance functions, and autonomous agent-based intrusion into financial infrastructure. Includes a framework for evaluating your organization's exposure to each attack category and a prioritized set of defensive measures mapped to the most active threat techniques.
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The State of Healthcare Cybersecurity: Ransomware, AI Threats, and What Works
An analysis of the current healthcare threat environment based on our work with hospitals, health systems, and business associates. Covers ransomware group tactics specific to healthcare targets, the AI-generated phishing techniques being used against clinical staff, medical device and IoT vulnerability patterns, and an assessment of which security controls have the most measurable impact on reducing breach risk in healthcare environments. Includes HIPAA compliance program benchmarking data from our assessment work.
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CMMC 2.0: A Practitioner's Analysis for Defense Contractors
A detailed breakdown of CMMC 2.0 requirements at Level 1, 2, and 3, the assessment process and what C3PAO assessors actually look for, the most commonly missed practices in Level 2 gap assessments, and the documentation requirements that separate contractors who pass assessment from those who need remediation cycles. Based on direct experience supporting defense contractors through CMMC readiness and assessment preparation.
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Nation-State Threats Against State & Local Government: What We Know and What to Do
An analysis of nation-state threat actor activity targeting state and local government entities, covering documented intrusion campaigns, the specific data and infrastructure categories that are priority targets, and the techniques used against government networks that differ from those used in financially motivated attacks. Includes a practical framework for state and local government security teams operating under significant resource constraints who need to prioritize limited defensive investment against sophisticated adversaries.
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LLM Security: Vulnerabilities, Attack Vectors, and Practical Defenses
A technical analysis of the security vulnerabilities in large language model deployments, covering prompt injection, training data extraction, model inversion attacks, indirect prompt injection through external data sources, and supply chain risks in AI model deployment pipelines. Written for security architects, AI engineers, and security teams who need to understand the actual attack surface of LLM-based systems rather than a high-level overview of AI risk categories.
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K-12 Ransomware: Why Schools Are Targeted and What Actually Reduces Risk
An analysis of ransomware group tactics specific to K-12 school districts, based on documented attacks and our incident response work with affected districts. Covers why education is disproportionately targeted, the specific technical gaps most commonly exploited in successful K-12 attacks, and the set of controls that have the highest impact on reducing ransomware risk within the budget and staffing constraints that most school districts operate under. Includes a prioritized security improvement roadmap sized for small to mid-size districts.
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