All news with #ai security tag

🧭 William Largent’s year-end Threat Source newsletter combines career reflection with a practical security briefing, urging professionals to learn from mistakes while noting rapid changes in the threat landscape. He highlights a Cisco Talos analysis of how generative AI is already empowering attackers—especially in phishing, coding, evasion, and vulnerability discovery—while offering powerful advantages to defenders in detection and incident response. The newsletter recommends immediate, measured experimentation with GenAI tools, training teams to use them responsibly, and blending automation with human expertise to stay ahead of evolving risks.

🛡️ US and allied cyber agencies have published joint guidance to help critical infrastructure operators incorporate AI safely into operational technology (OT). Developed by CISA with the Australian Signals Directorate and input from the UK's NCSC, the document covers ML, LLMs and AI agents while remaining applicable to traditional automation systems. It recommends assessing AI risks, protecting sensitive OT data, demanding vendor transparency on embedded AI and supply chains, establishing governance and testing in controlled environments, and maintaining human-in-the-loop oversight aligned with existing cybersecurity frameworks.

🔒 Check Point's new Quantum Firewall Software release, R82.10, extends a prevention-first security model across CloudGuard Network and Quantum Force Firewalls. The update unifies management, strengthens Zero Trust controls for hybrid mesh environments, and adds enforcement and telemetry designed to protect MCP servers, AI workloads, cloud assets and on-prem systems. It simplifies policy consistency and supports responsible AI adoption through data-aware controls and centralized governance.

🔎 The UK’s National Cyber Security Centre and Canada’s Centre for Cyber Security (CCCS) have published a report on public content provenance aimed at improving digital trust in the AI era. It examines emerging provenance technologies, including trusted timestamps and cryptographically secured metadata, and identifies interoperability and usability gaps that hinder adoption. The guidance offers practical steps for organisations considering provenance solutions.

🔒 Palo Alto Networks explains why the GSA OneGov agreement matters for federal AI adoption and cybersecurity. Author Eric Trexler cites Unit 42 research showing new risks—particularly AI Agent Smuggling via indirect prompt injection and agent session smuggling—and argues AI must be defended as an attack surface. The post highlights platform protections including Prisma AIRS, FedRAMP High CNAPP, and Prisma SASE to secure AI workloads, edge users, and data. It positions OneGov as a procurement shortcut for agencies to deploy AI securely and notes promotional offers through 31 January 2028.

🛡️ Web security in 2025 shifted rapidly as AI-enabled development and adversaries outpaced traditional controls. Natural-language "vibe coding" and compromised AI dev tools produced functional code with exploitable flaws, highlighted by the Base44 authentication bypass and multiple CVEs affecting popular assistants. At the same time, industrial-scale JavaScript injections, advanced Magecart e-skimming, and widespread privacy drift impacted hundreds of thousands of sites and thousands of financial sessions. Defenders moved toward security-first prompting, behavioral monitoring, continuous validation, and AI-aware controls to reduce exposure.

🔍 ISC2’s 2025 Cybersecurity Workforce Study, based on responses from more than 16,000 professionals, reports that 59% of organizations now face critical or significant cyber-skills shortages, up from 44% last year. Technical gaps are most acute in AI (41%), cloud security (36%), risk assessment (29%) and application security (28%), with governance, risk and compliance and security engineering each at 27%. The survey cites a dearth of talent (30%) and budget shortfalls (29%) as leading causes and links shortages to concrete impacts—88% reported at least one significant security incident. Despite concerns, headcount appears to be stabilizing and many professionals view AI as an opportunity for specialization and career growth.

🔒 The Cybersecurity and Infrastructure Security Agency (CISA) and the Australian Signals Directorate’s Australian Cyber Security Centre published a joint guide outlining four principles to safely integrate AI into operational technology (OT). The guidance emphasizes educating personnel, assessing AI uses and data risks, establishing governance, and embedding safety and security. It focuses on ML, LLMs, and AI agents while remaining applicable to other automation approaches. CISA and international partners encourage OT owners and operators to adopt these risk-informed practices to protect critical infrastructure.

🔒 CISA and the Australian Signals Directorate released joint guidance, Principles for the Secure Integration of Artificial Intelligence in Operational Technology, to help critical infrastructure owners and operators balance AI benefits with OT safety and reliability. The guidance focuses on ML, LLMs, and AI agents while remaining applicable to traditional statistical and logic-based systems. It emphasizes four core areas—Understand AI, Assess AI Use in OT, Establish AI Governance, and Embed Safety and Security—and recommends integrating AI considerations into incident response and compliance activities.

🔒 Today's low-cost AI services have industrialized cybercrime, enabling novice actors to produce highly convincing BEC and phishing content at scale. Tools such as WormGPT, FraudGPT, and SpamGPT remove traditional barriers by generating personalized messages, exploit code, and automated delivery that evade static filters. Defensive detection alone is insufficient when signatures continually mutate; organizations must protect identity and neutralize credential exposure. Join the webinar to learn targeted signatures and access-point controls to stop attacks even after a click.

🧭 Business leaders across 116 economies told the World Economic Forum that misinformation/disinformation, cyber insecurity and the adverse outcomes of AI rank among the top near-term threats to national stability. The WEF’s Executive Opinion Survey 2025 canvassed 11,000 executives, who placed technological risks alongside economic and societal concerns. Respondents flagged AI-driven deepfakes, model exploitation and AI-assisted cyber techniques as amplifiers of both disinformation campaigns and critical-system threats.

🔒 In 2025 threat actors increasingly used AI—deepfakes, automated scripts, and AI-generated lures—to scale ransomware, phishing, and data-exfiltration attacks, exposing gaps between siloed security and backup tools. Publicly disclosed ransomware victims rose sharply and phishing remained the dominant initial vector, overwhelming legacy protections. Organizations are moving to AI-driven automation and unified detection, response, and recovery platforms to shorten dwell time and streamline compliance.

🪓 Security teams face a pivotal moment as AI becomes embedded across products while core decision-making remains opaque and vendor‑controlled. The author urges building and tuning small, controlled AI‑assisted utilities so teams can define training data, risk criteria, and behavior rather than blindly trusting proprietary models. Practical skills — basic Python, ML literacy, and active model engagement — are framed as essential. The piece concludes with an invitation to a SANS 2026 keynote for deeper, actionable guidance.

🔒 AI-SPM is emerging to protect AI/ML pipelines, cloud-hosted models and large datasets without moving data. The guide outlines core capabilities — agentless access, data classification, pipeline protection, model monitoring and compliance checks — and summarizes offerings from vendors such as Cyera, LegitSecurity, Microsoft, Orca and Palo Alto Networks. It also advises reviewing standards like MITRE ATLAS and OWASP LLM when evaluating tools.

🔒 Three critical zero-day vulnerabilities in PickleScan, a widely used scanner for Python pickle files and PyTorch models, could enable attackers to bypass model-scanning safeguards and distribute malicious machine learning models undetected. The JFrog Security Research Team published an advisory on 2 December after confirming all three flaws carry a CVSS score of 9.3. JFrog has advised upgrading to PickleScan 0.0.31, adopting layered defenses, and shifting to safer formats such as safetensors.

🎁 This holiday season Google Skills provides no-cost AI courses and hands-on labs taught by Google Cloud experts, intended for both technical and non-technical learners. Technical offerings include sandboxed labs covering Gemini Code Assist, Vibe coding, Model Context Protocol (MCP) integration, ADK agents, fine-tuning, and AI infrastructure, with 35 free monthly credits to practice in real environments. Non-technical content emphasizes leadership, Gemini Enterprise, NotebookLM, short practical lessons, and skill badges or certification prep to validate progress.

🔒 CISOs face rising threats as adversaries weaponize AI — from deepfakes and sophisticated phishing to prompt-injection attacks and data leakage via unsanctioned tools. Vendors and startups are rapidly embedding AI into detection, triage, automation, and agentic capabilities; IBM’s 2025 report found broad AI deployment cut recovery time by 80 days and reduced breach costs by $1.9M. Before engaging vendors, security leaders must assess attack surface expansion, data protection, integration, metrics, workforce impact, and vendor trustworthiness.

🛡️ November 2025 saw a flurry of cybersecurity acquisitions as major vendors raced to embed AI, observability and exposure management across their portfolios. Deals included Palo Alto Networks' $3.35bn purchase of Chronosphere, LevelBlue's completion of its Cybereason acquisition, and Bugcrowd's buy of AI app-security firm Mayhem. Other moves saw Safe Security acquire Balbix, Zscaler buy SPLX, and Arctic Wolf agree to acquire UpSight to bolster ransomware prevention. Collectively these transactions accelerate AI-driven automation and resilience across cloud, endpoint and software security.

🚀 Replicate is now part of Cloudflare, bringing its model packaging and serving tools into Cloudflare’s global network. Since 2019 Replicate has shipped Cog and a hosted inference platform that made running research models accessible and scaled during the Stable Diffusion surge. Joining Cloudflare pairs those abstractions with network primitives like Workers, R2, and Durable Objects to enable edge model execution, instant serverless pipelines, and streaming integrations such as WebRTC while supporting developers and researchers.

🔍 This week's briefing highlights resurgent Mirai variants, AI-enabled malware, and large-scale social engineering and laundering operations. Security vendors reported ShadowV2 and RondoDox infecting IoT devices, while researchers uncovered the QuietEnvelope mail-server backdoors and a Retell AI API flaw enabling automated deepfake calls. Regulators and vendors are pushing fixes, bans, and protocol upgrades as defenders race to close gaps.