12 posts
This threat intelligence report highlights recent data breaches involving third-party vendors, emerging AI threat vectors such as prompt injection and WebSocket abuse, and active exploitation of critical vulnerabilities in Fortinet, Cisco, and Splunk products. Additionally, seasonal phishing campaigns targeting travelers and Amazon Prime members are surging alongside a cross-platform Rust-based crypto clipboard hijacker.
ANY.RUN's Q1 2026 Cyber Risk Report highlights a significant acceleration in attacker operational tempo, with the median time-to-persistence dropping to 21 seconds and LOTL execution occurring in 16 seconds. The data also shows a marked increase in loader-based attacks, credential theft, and the weaponization of trusted tools via JavaScript LOLBAS techniques, emphasizing the critical need for rapid, behavior-based detection capabilities.
The emergence of AI-assisted vulnerability discovery tools has significantly compressed the timeline between vulnerability disclosure and active exploitation. To manage the resulting flood of disclosures, security programs must transition from manual triage to intelligence-led prioritization that automatically correlates vulnerabilities with real-world adversary activity at machine speed.
NIST has significantly reduced its enrichment of CVEs in the National Vulnerability Database (NVD), limiting full analysis to a small subset of critical vulnerabilities. This policy change exposes organizations relying solely on NVD CVSS scores to significant blind spots, necessitating a shift toward threat intelligence-driven prioritization based on real-world weaponization and active exploitation.
The article discusses the impending 'vuln-pocalypse' driven by AI-accelerated vulnerability discovery and fuzzing. Threat actors, including FANCY BEAR and FAMOUS CHOLLIMA, are increasingly leveraging AI to enhance phishing campaigns and exploit zero-days faster, necessitating a shift toward threat-informed patch prioritization and robust post-exploitation behavioral detection.
The article advocates for a paradigm shift in cybersecurity from manual, reactive threat intelligence to autonomous, machine-speed defense. It emphasizes the need for unified visibility across cyber operations, digital risk, third-party risk, and payment fraud to effectively counter modern, automated threats.
This thought leadership article emphasizes the critical role of digital trust and proactive threat intelligence in fostering economic growth. It highlights the partnership between Recorded Future and Mastercard and underscores the need for enhanced public-private collaboration to address rising cyber threats, particularly noting the surge of ransomware incidents in Latin America.
The integration of AI into vulnerability research is scaling up existing challenges for defenders by increasing the volume of vulnerability reports and shrinking the time-to-exploit from days to hours. While AI currently augments skilled operators rather than enabling mass low-skill exploitation, organizations must adopt automated, exposure-based prioritization and accelerated patching to manage the growing noise and mitigate high-impact threats.
The article outlines strategies for operationalizing threat intelligence by integrating it into existing security stacks. It highlights four essential workflows—IOC enrichment, vulnerability prioritization, autonomous threat operations, and watch list automation—to elevate cybersecurity maturity from reactive to autonomous.
Recorded Future has announced a restructuring of its threat intelligence platform into four core solutions and three tiered packages (Core, Professional, Elite) designed to address the evolving 2026 threat landscape. The new model emphasizes unlimited user access and integrations to operationalize intelligence across cyber operations, digital risk, third-party risk, and payment fraud domains.
The article advocates for an intelligence-driven approach to third-party risk management, arguing that static security ratings are insufficient against modern supply chain threats. It highlights the necessity of integrating external hygiene data with real-time threat intelligence to proactively detect vendor compromises such as ransomware extortion and credential leaks.
The disruption of a major cybercrime forum has led to a fragmented ransomware market, prompting groups like Nova RaaS to artificially inflate their perceived status. Despite aggressive recruitment and branding efforts, structural indicators reveal Nova's operational scale remains far below established market leaders.
