In 2026, enterprises are deploying generative AI and machine learning across the board, from automated customer support to autonomous analytics. This rapid adoption introduces new risks that traditional cybersecurity tools weren’t built to handle. AI models process sensitive data, and attackers now target those models and data flows directly with…

Governments around the world are racing to adopt AI, from speeding up citizen services to improving public health, but this rush raises serious security and governance challenges. Over 70% of public servants now use AI, yet only 18% say it’s done effectively. This striking gap highlights that public sector AI…

AI models introduce entirely new attack surfaces from poisoned training data to crafted adversarial inputs that traditional IT security doesn’t handle. AI Model Security is the discipline of safeguarding machine learning systems and data throughout the ML lifecycle, training, development, deployment, and runtime. It ensures your models behave as intended,…

Artificial intelligence is transforming insurance, speeding up underwriting, claims handling, and customer service. A recent survey found 55% of insurers are already in early or full adoption of generative AI. But with great power comes risk. Insurers that skip solid AI governance may face biased decisions, data breaches, or regulatory…

If you work in a bank, insurer, payments company, or fintech, you’ve probably had a week like this: the fraud team is worried about deepfakes, the risk team is worried about opaque models, security is worried about data leakage from GenAI tools, and compliance is asking, “Which regulation applies here,…

Artificial intelligence (AI) and machine‑learning models are no longer peripheral experiments in banking; they underpin credit underwriting, fraud detection, operational decision‑making, and customer engagement. Survey research from Temenos and the Economist Intelligence Unit shows that over three‑quarters of banking executives (77%) believe that successfully using AI will differentiate winners from…

AI is transforming business at breakneck speed, but the risks of ungoverned AI are mounting just as fast. Regulators worldwide are racing to catch up, and cyber-attackers are already weaponizing AI. In this environment, AI security consulting has become essential for enterprises. By combining cybersecurity expertise with AI governance, consultants…

The rise of Generative AI and cloud adoption has triggered a cybersecurity arms race. Organizations now face AI-driven attacks at scale: by 2026, 93% of companies expect daily AI-assisted assaults, even as 70% say AI tools help detect threats that once went unnoticed. At the same time, cloud infrastructure is…

Artificial intelligence isn’t a “pilot project” anymore; it’s a production dependency. In 2026, enterprises are running customer support, risk scoring, fraud detection, developer copilots, and workflow automation on AI systems that learn from data, change over time, and often act on their own recommendations. That creates a reality shift: your…

An AI cyber attack is a digital threat powered by artificial intelligence technologies. Unlike traditional attacks, these use AI to automate, enhance, and scale malicious activities such as phishing, malware deployment, and system exploitation. With AI-powered cyber attacks, hackers can now strike faster, target more precisely, and remain undetected for…