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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.

AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.

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Virtru Targets AI-Driven Control of Unstructured Data With Iconiq-Led Funding RoundVirtru raised $50 million, doubling its valuation to $500 million. The funding will expand the company’s capabilities in AI governance and multi-party analytics through continued investment in its trusted data format as a foundation for managing sensitive data across enterprises and governments.

Cohesity CEO Sanjay Poonen Says Unified Platform Offers Faster, Smarter RecoveryCohesity’s Sanjay Poonen says customers increasingly demand AI-powered data security and sovereign cloud options. The acquisition of Veritas' data protection business has expanded product reach, accelerated engineering output and enhanced security for on-prem and multi-cloud workloads.

Also: SolarWinds Case Nears Quiet Settlement; Securing Agentic AI Requires LayersIn this week's edition, Information Security Media Group editors discussed Russia’s cyber treason arrests, the A U.S. Securities and Exchange Commission legal settlement with SolarWinds - and its impact on security leaders - and how organizations are working to secure agentic AI.

Abnormal AI CEO Evan Reiser on Behavioral Anomalies, Personalized Phishing TrainingAbnormal AI is rolling out behavior-driven AI tools that automate phishing awareness and data reporting. Co-founder and CEO Evan Reiser says the platform reflects a shift away from generic campaigns and manual dashboards toward contextual, real-time defense.

Bank Info Security 1 year ago

Vibe Hacking Not Yet Possible

AI Models Mostly Fail in Full Track of Vulnerability Research to ExploitThe rise of code-illiterate but AI-enabled script kiddies able to wreak havoc by weaponizing software vulnerabilities into automated exploits, thanks to expert-level assistance from large language models, remains but a future possibility, based on exploit-writing tests of 50 LLMs.

Generative AI is not arriving with a bang, it’s slowly creeping into the software that companies already use on a daily basis. Whether it is video conferencing or CRM, vendors are scrambling to integrate AI copilots and assistants into their SaaS applications. Slack can now provide AI summaries of chat threads, Zoom can provide meeting summaries, and office suites such as Microsoft 365 contain

Impersonation Hoax Leverages Top Officials' Known Use of Commercial Messaging AppSecurity analysts tell Information Security Media Group more impersonation scams fueled by artificial intelligence - like the recent one involving Secretary of State Marco Rubio - may increasingly target top U.S. officials if the government continues failing to enforce strict security protocols.

AI Is Fueling Innovation and Blind Spots. Deep Observability Helps Close the Gap.AI is transforming business, but it's also creating new security challenges. With network traffic surging and shadow AI on the rise, visibility is more critical than ever. Learn how deep observability helps close the gaps and defend against AI-fueled threats.

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