Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Google releases Olympiad medal-winning Gemini 2.5 ‘Deep Think’ AI publicly — but there’s a catch…

Google bets on STAN, an Indian social gaming platform

Paper page – Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Industry AI
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
IBM

IBM: 13% of Organizations Faced AI Breaches, Most Lacked Access Controls

By Advanced AI EditorJuly 31, 2025No Comments5 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


“The data shows that a gap between AI adoption and oversight already exists, and threat actors are starting to exploit it,” said Suja Viswesan, Vice President, Security and Runtime Products, IBM. “The report revealed a lack of basic access controls for AI systems, leaving highly sensitive data exposed and models vulnerable to manipulation. As AI becomes more deeply embedded across business operations, AI security must be treated as foundational. The cost of inaction isn’t just financial; it’s the loss of trust, transparency, and control.”

However, the report did reveal that organizations using AI and automation extensively throughout their security operations saved an average of $1.9 million in breach costs and reduced the breach lifecycle by an average of 80 days.

The 2025 report, conducted by the Ponemon Institute and sponsored and analyzed by IBM, is based on data breaches experienced by 600 organizations globally from March 2024 through February 2025. Key findings from the report around AI security and breaches, the financial cost of a breach, and operational disruption are as follows:

Breaches and the AI era

AI Governance Policies. 63% of breached organizations either don’t have an AI governance policy or are still developing a policy. Of the organizations that have AI governance policies in place, only 34% perform regular audits for unsanctioned AI.

The Cost of Shadow AI. One in five organizations reported a breach due to shadow AI, and only 37% have policies to manage AI or detect shadow AI. Organizations that used high levels of shadow AI observed an average of $670,000 in higher breach costs than those with a low level or no shadow AI. Security incidents involving shadow AI led to more personally identifiable information (65%) and intellectual property (40%) being compromised compared to the global average (53% and 33%, respectively).

Smarter Attacks with AI. 16% of breaches studied involved attackers using AI tools, most often for phishing or deepfake impersonation attacks.

The Financial Cost of a Breach

Data Breach Costs. The global average cost of a data breach fell to $4.44 million, the first decline in five years, while the average U.S. cost of a breach reached a record $10.22 million.

Global Breach Lifecycles Hit Record Low. The global average breach lifecycle (the mean time to identify and contain a breach, including restore services) dropped to 241 days, a 17-day reduction from the year prior, as more studied organizations detected the breach internally. Those organizations that detected the breach internally also observed a $900,000 savings on breach costs compared to those disclosed by an attacker.

Healthcare Breaches Remain the Costliest. Averaging $7.42 million, healthcare breaches remained the most expensive across all studied industries, even as this sector saw a $2.35 million reduction in costs compared to 2024. Breaches across this sector take the longest to identify and contain at 279 days; that’s more than 5 weeks longer than the global average of 241 days.

Ransom Payment Fatigue. Last year, organizations pushed back against ransom demands, with more opting not to pay (63%) compared to the year prior (59%). As more organizations refuse to pay ransoms, the average cost of an extortion or ransomware incident remains high, particularly when disclosed by an attacker ($5.08 million).

Security Investments Stall Amid Rising AI Risks. There was a significant reduction in the number of organizations that said they plan to invest in security following a breach, 49% in 2025 compared to 63% in 2024. Less than half of those that plan to invest in security post-breach will focus on AI-driven security solutions or services.

The Long Tail of a Breach: Operational Disruption

According to the 2025 IBM report, nearly all organizations studied suffered operational disruption following a data breach. This level of disruption is taking a toll on recovery timelines. Among organizations that reported recovery, most took more than 100 days on average to do so.

However, the consequences of a breach continue to extend beyond containment. While down compared to the year prior, nearly half of all organizations reported that they planned to raise the price of goods or services because of the breach, and nearly one-third reported price increases of 15% or more.

About the Cost of a Data Breach Report

The Cost of a Data Breach Report has investigated nearly 6,500 data breaches over the past 20 years. Since the inaugural report in 2005, the nature of breaches has evolved dramatically. Back then, risk was largely physical. Today, the threat landscape is overwhelmingly digital and increasingly targeted, with breaches now driven by a spectrum of malicious activity.

With the pace of enterprise AI adoption proliferating, for the first time, the Cost of a Data Breach research studied the state of security and governance for AI, the type of data targeted in security incidents involving AI, breach costs associated with AI-driven attacks, and the prevalence and risk profile of shadow AI (unregulated, unauthorized use of AI). Historical findings from past reports include the following:

2005: nearly half (45%) of all data breaches were caused by lost or stolen computing devices, such as a laptop or thumb drive, and only 10% of breaches were due to hacked electronic systems.

2015: breaches due to cloud misconfiguration weren’t even a categorized threat; today they are a leading target.

2020: ransomware began to surge, and by 2021 it accounted for an average of $4.62 million in breach costs, and this year that number reached an average of $5.08 million (when the incident was disclosed by an attacker).

2025: AI, which was included for the first time in the research this year, is quickly emerging as a high-value target.

Additional sources:

Download a copy of the 2025 Cost of a Data Breach Report to learn more.

Sign up for the 2025 IBM Cost of a Data Breach webinar on Wednesday, August 13, 2025, at 11:00 a.m. ET.

Read more about the report’s top findings in this IBM blog.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleTesla Robotaxi and Supercharger Diner are killing a dreaded consumer tradition
Next Article YouTube’s selfie collection, AI age checks are concerning, privacy experts say
Advanced AI Editor
  • Website

Related Posts

Security updates: IBM Db2 can be attacked in various ways

August 1, 2025

Salesforce, IBM and Snowflake push zero copy as AI’s enterprise foundation. Here’s why it matters

August 1, 2025

Shadow AI and Poor Governance Linked to Costlier Breaches

August 1, 2025

Comments are closed.

Latest Posts

Blum Staffers Speak On Closure, Spiegler Slams Art ‘Financialization’

Theatre Director and Artist Dies at 83

France to Accelerate Return of Looted Artworks—and More Art News

Person Dies After Jumping from Whitney Museum

Latest Posts

Google releases Olympiad medal-winning Gemini 2.5 ‘Deep Think’ AI publicly — but there’s a catch…

August 1, 2025

Google bets on STAN, an Indian social gaming platform

August 1, 2025

Paper page – Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents

August 1, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • Google releases Olympiad medal-winning Gemini 2.5 ‘Deep Think’ AI publicly — but there’s a catch…
  • Google bets on STAN, an Indian social gaming platform
  • Paper page – Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents
  • Building AIOps with Amazon Q Developer CLI and MCP Server
  • Stability AI Releases Stable Diffusion 3.5 Text-to-Image Generation Model — Campus Technology

Recent Comments

  1. TylerGlilm on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. lkjdretlvssss www.yandex.ru on U.S. Probes if Nvidia Helped China’s DeepSeek Create Powerful AI Chips
  3. pbnDruch on How Cursor and Claude Are Developing AI Coding Tools Together
  4. lusakFrego on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. Anonymous on Nvidia CEO Jensen Huang calls US ban on H20 AI chip ‘deeply painful’

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.