AI & Cybersecurity

Deepfake phishing, model theft and AI-driven attack campaigns are forcing US CISOs to rethink defenses — vendors and boards are finally paying attention

Generative AI has lowered the bar for sophisticated phishing. Expect smarter scams, a hotter market for defensive tools, and tricky tradeoffs for CISOs and investors.

Security teams are racing to close a subtle, fast-moving hole: prompt injection is turning helpful chatbots into data exfiltration tools for attackers and insiders alike.

Attackers are combining large language models and voice cloning to automate highly convincing scams. Defenders are racing to turn AI into the antidote.

Large language models have lowered the bar for sophisticated cybercrime. Practical steps for security teams to blunt the surge and regain the upper hand.

Synthetic voices and tailored LLM attacks are making fraud faster and harder to spot. Security teams and investors must adapt now.

Large language models are reshaping both offense and defense. Here’s what security teams and investors need to know right now.

As attackers weave large language models into phishing, malware obfuscation and supply-chain schemes, CISOs face a fast-moving threat and a market shift.

Generative models have collapsed the cost and time needed to craft convincing attacks. Security teams must rethink defenses beyond signatures.

Enterprises race to deploy internal chatbots while attackers weaponize prompt hacks. Practical defenses security teams can implement this quarter.

From synthetic voices to hyper-personalized emails, attackers are using generative AI to scale deception. Here’s what companies and investors should actually do next.

Enterprises rushed to deploy large language models, then discovered a stealthy threat: LLM-enabled data exfiltration and model attacks. Here’s a practical playbook for security and finance leaders.

AI models are automating reconnaissance, crafting bespoke lures and weaponizing legitimate tools — and defenders are now racing to catch up.

LLMs are turning simple scripts into adaptive attack tools. A pragmatic CISO playbook for detection, containment, and governance.

Deepfake audio is no longer sci‑fi. Executives, treasury teams and insurers face a fast-moving threat—here's what it costs, why it works, and how to stop it.

Generative models are cutting months off exploit development. The cyber arms race just got a turbocharger — and defenders are already improvising.

As generative models make scams scarier and cheaper, financial institutions scramble with AI defenses, biometrics and new risk playbooks.

Generative AI lowers the skill barrier for attackers and forces defenders to rebuild assumptions. Here’s who benefits, who loses, and what U.S. firms must do next.

Ransomware and phishing are getting smarter — not because hackers learned to code better, but because they now have powerful language models on tap. What that means for enterprises and defenders.

Large language models are turning one-size-fits-all scams into personalized digital ambushes. Security teams are racing to use the same tools to stop them.

Generative AI is lowering the technical bar for crafting sophisticated attacks. Defenders, regulators and investors are being forced to rethink everything from detection to deterrence.

Generative models turned into tools for fraud are forcing security teams to rethink identity, verification and the economics of trust.

Generative models are lowering the bar for high-precision attacks — from LLM-crafted phishing to voice deepfakes — forcing a rethink of defense and policy.

From AI-crafted phishing to defense automation: why this next wave of attacks changes what CISOs, investors, and IT teams must prioritize now

From hyper-personalized phishing to voice deepfakes, generative AI is scaling attacks. Practical steps security teams and executives should take today.

Generative models are lowering the technical bar for sophisticated attacks. Businesses, regulators and security stocks are already reacting — fast.

Enterprises are deploying AI-driven systems that can detect and act without human sign-off. Faster containment, bigger risks—here's what CIOs and investors need to know.

Generative models are lowering the cost of bespoke cyberattacks — and defenders are racing to build AI-aware shields before compromise becomes commonplace.

A new era of targeted attacks uses voice deepfakes and personalized LLM scripts. Companies are behind the curve — here’s what to change now.

Generative models are turning targeted fraud into an industrial operation. Insurers, security vendors, and boards face fast-moving choices — and new winners.

Generative AI is lowering the bar for attackers and forcing a high-stakes arms race between LLM-enabled threat actors and the security industry.

From hyper-personalized lures to convincing synthetic voices, businesses face an arms race where defenders must adopt AI or fall behind.

Defenders are deploying LLMs while attackers weaponize them — here’s what enterprises, SOCs, and investors need to know and do next.

Audio deepfakes and AI-driven social engineering are turning customer-service lines into a prime attack surface. Banks, regulators, and startups are racing to adapt.

Generative AI is sharpening attacks and defenses at once. Enterprises, investors, and CISOs face a fast-moving threat that demands strategy, not band-aids.

Automated attacks are lowering costs for criminals and raising premiums for everyone — what security teams, insurers, and markets should do next

Generative AI is turning casual coders into potent attackers. Security teams must rethink detection, training and risk — fast.

Attacks are becoming cheaper, faster and eerily personalized. CISOs need blunt, practical fixes — and investors should pay attention to which defenders stand to gain.

Attackers are turning large language models into automated exploit builders. Defenders can fight back with their own AI, but the result is an arms race that changes risk, insurance and enterprise strategy.

From customized spear-phishing to voice deepfakes, generative AI is sharpening social engineering. Security teams are scrambling to turn the tables.