All news with #ai security tag

🔒 Check Point announced multiple 2025 recognitions from leading analyst firms and independent research labs, underscoring its focus on securing AI-driven environments and distributed networks. The company emphasized a prevention-first philosophy that unifies security management and strengthens Zero Trust frameworks. These honors reflect validation of its strategy to enable safe enterprise AI adoption amid growing cyber threats.

🔒 2025 exposed major, real-world risks across the AI ecosystem as rapid adoption of agentic AI expanded enterprise attack surfaces. Researchers documented pervasive Shadow AI and vulnerable vendor tools, AI supply-chain poisoning, credential theft (LLMjacking), prompt-injection attacks, and rogue or misconfigured MCP servers. These incidents affected popular frameworks and cloud services and resulted in data breaches, remote-code execution, and costly fraud.

🔒 Traditional security frameworks like NIST CSF, ISO 27001, and CIS Controls were designed for legacy IT assets and do not map cleanly to AI-specific risks. Recent incidents — including the December 2024 Ultralytics compromise, ChatGPT memory-extraction flaws across 2024, and August 2025 malicious Nx packages — show organizations can meet compliance yet remain exposed. The article argues security teams must adopt AI-tailored controls such as prompt validation, model integrity verification, semantic DLP, and AI-focused red teaming.

🔒 NIST is investing $20m to fund two new AI security research centers run by nonprofit MITRE: the AI Economic Security Center for US Manufacturing Productivity and the AI Economic Security Center to Secure US Critical Infrastructure from Cyber Threats. The centers will develop technology evaluations and advancements to protect US AI leadership, counter adversarial AI uses, and reduce risks from insecure systems. NIST says the effort will drive applied science breakthroughs and support commercialization of new technologies.

🤖 Trend Micro's Rachel Jin warns that the rapid evolution of AI is outpacing static security controls and forcing defenders to embrace automation and context-aware defenses. She notes LLMs update frequently and attackers leverage that pace to craft tailored phishing, automate tasks and scale operations. Jin stresses that visibility into AI usage, agents and infrastructure is essential and recommends an AI security blueprint to map risk, consolidate tooling and prioritize scarce budgets.

🤖 The editorial teams of Computerwoche, CIO and CSO reflect on a turbulent 2025 shaped by the rapid rise of AI, economic uncertainty and geopolitical friction. They call out major flops such as widespread AI‑justified layoffs (Surfshark estimates 200,000+ jobs lost) and the growing use of AI by cybercriminals, while noting positive trends: pragmatic CIOs focusing on data quality, innovative change management like Mobilezone, and sizable sovereignty investments such as Schwarz IT.

🔒 Kaspersky outlines eight practical cybersecurity resolutions to take into 2026 after a transformative 2025 marked by sweeping internet laws and widespread AI adoption. The guidance covers legal awareness, safer access methods, and mitigation against document-leak risks. It also warns about new scam tactics, urges cautious AI use, subscription audits, longevity practices for devices, and strengthened smart‑home security.

🔐 CISOs are rethinking how they spend reclaimed time, prioritizing innovation and transformation over constant firefighting. Leaders want to eliminate tactical debt—closing out lingering POAMs, patching unpatched systems and remediating misconfigurations—to free resources for strategic foresight. They plan to break down silos between AppSec, CloudSec and GRC with automation and AI, creating a unified view of risk and on-demand compliance evidence. Above all, CISOs aim to make security a human-led business enabler that empowers teams, reduces burnout and embeds privacy-by-design into engineering.

🔒 The post argues that financial institutions must treat cybersecurity as the foundation for safe AI adoption, centering on three imperatives: understand the AI–cybersecurity nexus, harness AI to accelerate detection and response, and adopt Secure AI by Design. It highlights AI-driven SOCs that distill billions of events into actionable incidents and cites customer outcomes such as dramatic reductions in MTTR and large-scale threat prevention. The author also describes new AI-specific risks to data, models and agents, and calls for enterprise governance, risk-tiered inventories, strict access controls and coordinated policy to enable innovation while managing systemic risk.

🔐 Infinity Global Services (IGS) has launched its first dedicated AI security training courses, the initial release in a growing AI services portfolio. The programs offer expert-led instruction and hands-on labs to help security teams, developers, and leaders defend against AI-driven threats and implement AI securely across operations and product development. IGS also plans upcoming offerings in AI red teaming, governance, and implementation consulting to extend defensive and advisory capabilities.

🔍 Fortinet and academic partners, including UC Berkeley’s CLTC and the Berkeley Risk and Security Lab, collaborated on global tabletop exercises and analysis to assess how AI is reshaping cybercrime. The Singapore TTX demonstrated that AI amplifies existing attack vectors—speeding reconnaissance, phishing, and malware development—while lowering barriers to entry and fostering criminal specialization. Defenders reported that governance, decision rights, and human judgment often mattered more than specific tools, underscoring the need for strong public-private collaboration and human oversight of AI-assisted detection.

🔎 Fortinet and UC Berkeley partners analyzed a Singapore tabletop exercise to assess how AI is reshaping cybercrime and defense. The practitioner perspective complements CLTC’s academic work and shows AI is amplifying existing attack vectors—speeding phishing, reconnaissance, code generation, and malware iteration—while lowering barriers to entry. The exercise highlighted that governance, human judgment, and cross-sector collaboration frequently determine response effectiveness more than specific tools.

🔒 Palo Alto Networks sets a partner-first agenda for 2026 focused on integration, embedded AI and ecosystem-driven growth. The company encourages partners to consolidate point tools onto a unified platform, embed AI into core workflows and build repeatable services across consulting, resale and managed security. Program updates will simplify engagement, expand API and alliance integrations, and aim to increase partner profitability while accelerating customer time‑to‑value.

🔍 ESET's H2 2025 threat report documents rapid attacker innovation, including the first known AI-driven ransomware, PromptLock, which can generate malicious scripts on demand. The report also highlights a near-collapse of Lumma Stealer, a roughly thirtyfold surge in the CloudEyE downloader, and a sharp rise in ransomware victims and NFC-based Android fraud. It underscores evolving distribution and evasion techniques across platforms.

⚠️ Check Point reports a surge in Christmas-themed phishing and social scams, detecting 33,500 unique phishing emails and over 10,000 seasonal social ads in a recent two-week period. Threat actors are using AI to produce flawless local-language messages, build fake e-commerce sites with working checkouts, and generate deepfake audio and smishing that mimic delivery alerts. Consumers should watch for spoofed URLs, unusual payment requests, new or inactive accounts and emotional triggers, and avoid clicking unsolicited links or sharing credentials.

🔐 Check Point argues that modern AI's effectiveness hinges on the volume, variety, and freshness of data, and that its three decades of aggregated threat intelligence provide a practical advantage in applying AI to cybersecurity. The post highlights data density — the combination of scale, diversity, and timeliness of telemetry — as the primary driver of model accuracy and detection efficacy. It contrasts five years of explosive AI data growth with Check Point's 30-year corpus and explains how rich telemetry enables better prediction, prevention, and operationalization of AI-driven defenses.

🛡️ In 2025 CISOs reported that AI moved from experiment to dominant force, giving defenders major productivity gains while simultaneously enabling faster, more precise attacks. Leaders from Smartsheet, Calendly, Elastic and HCLTech say AI reshaped priorities, forced strategy changes, and amplified non-human identities and third-party risk. Heightened regulation and stricter enforcement of standards like NIST and ISO pushed security accountability up to boards.

🛡️ CrowdStrike announced general availability of Falcon AI Detection and Response (AIDR), an extension of the Falcon platform designed to protect the prompt and agent interaction layer where people, models and autonomous agents exchange instructions. AIDR offers unified visibility across endpoints, applications, MCP servers and API gateways, real-time detection of prompt injection and jailbreaks, automated data protection and attribute-based access controls. It supports browser extensions, application SDKs, gateway integrations and cloud log analysis for runtime enforcement and investigations.

🔒 The Cybersecurity Forecast for 2026 highlights how agentic security automation and widespread AI will reshape defenses, shifting SOCs from monitoring to automated action. It calls for building workforce AI fluency, evolving IAM to treat agents as managed identities, and deploying model-protection measures alongside tamper-proof backups. Boards will increasingly demand operational resilience, quantified exposure, and mature AI governance.

🔐 OpenAI says rapid model gains have reshaped its planning and prompted expanded defensive measures. Internal CTF assessments rose from 27% on GPT-5 in August 2025 to 76% on GPT-5.1-Codex-Max in November 2025, leading the company to warn some systems may reach 'High' levels on its Preparedness Framework. OpenAI outlined a layered defense-in-depth strategy — including access controls, infrastructure hardening, egress monitoring, model steering, detection tools and end-to-end red teaming — and is preparing a trusted access program alongside private-beta tools such as Aardvark to steer capabilities toward defensive outcomes.