Tag Archive for: AI’s

AI’s pivotal role in cybersecurity valued at $60.6bn by 2028


Artificial Intelligence is expected to play a pivotal role in the field of cybersecurity, influencing behavioural analytics, threat detection, and automating processes. Valued at USD 22.4 billion in 2023, reports suggest that the global market for AI in cybersecurity is projected to grow to USD 60.6 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 21.9%.

The rise of AI technologies such as natural language processing (NLP) and machine learning (ML) are deemed vital for enhancing cybersecurity as tech firms, defence, and government agencies face an increase in cyberattacks. Priority is reportedly given to machine learning algorithms for enhancing security intelligence. AI is significant in banking sector as well, due to rising privacy concerns, emphasising on AI-based cybersecurity. The demand for advanced AI solutions is expected to grow parallel to the evolving cyber threats, particularly from small and medium-sized enterprises (SMEs).

Software is anticipated to hold a major share in the AI in cybersecurity market during the forecast period. AI in cybersecurity software sector is driven by the increase in security breaches on business applications aiming to acquire sensitive data. The strict data privacy policies and regulations have led to a rise in demand for AI-based cybersecurity solutions. The widespread use of connected devices, Bring-Your-Own-Device (BYOD) trends in organisations, and increasing internet usage are all factors contributing to the need for potential risk mitigation.

Managed services in cybersecurity are expected to exhibit the highest CAGR during the forecast period. These services, backed with AI algorithms, boost real-time threat detection and automate incident responses, thereby optimising resource allocation. The scenario presents cybersecurity teams with opportunity to focus on strategic undertakings. Risks can be managed efficiently with AI-powered systems operating on vast datasets, offering overall protection against evolving cyber threats. Predictive analytics empower organisations to anticipate and respond effectively to cyber threats.

The Asian Pacific region is projected to exhibit the highest CAGR. Rise in population and…

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Why AIs Will Become Hackers


RSA CONFERENCE 2022 — “Nice to see you all again,” Bruce Schneier told the audience at his keynote for the in-person return of RSA Conference, taking off his trademark cap. “It’s kinda neat. Kinda a little scary.” 

Schneier is a security technologist, researcher, and lecturer at Harvard Kennedy School. He has a long list of publications, including books from as early as 1993 and as recent as 2019’s We Have Root, with a new one launching in January 2023. But he’s best known for his long-running newsletter Crypto-Gram and blog Schneier on Security. And his upcoming book is about hacking.

To Schneier, hacking does not necessarily mean computer systems. “Think about the tax code,” he said. “It’s not computer code, but it’s code. It’s a series of algorithms with inputs and outputs.”

Because the tax code is a system, it can be hacked, Schneier said. “The tax code has vulnerabilities. We call them tax loopholes. The tax code has exploits. We call them tax avoidance strategies. And there’s an entire industry of black-hat hackers — we call them tax accountants and tax attorneys,” he added, to audience laughter.

He defined hacking as “a clever, unintended exploitation of a system, which subverts the rules of the system at the expense of some other part of the system.” He noted that any system can be hacked, from the tax code to professional hockey, where a player — it’s contested just who — started using a curved stick to improve their ability to lift the puck. That player hacked the hockey system.

“Even the best-thought-out sets of rules will be incomplete or inconsistent,” Schneier said. “It’ll have ambiguity. It’ll have things the designers haven’t thought of. And as long as there are people who want to subvert the goals of the system, there will be hacks. 

“What I want to talk about here is what happens when AIs start hacking.”

Rise of the Machines

When AIs start hacking human systems, Schneier said, the impact will be something completely new. 

“It won’t just be a difference in degree but a difference in kind, and it’ll culminate in AI systems hacking other AI systems and us humans being collateral damage,” he said, then paused. “So that’s a bit of hyperbole, probably my…

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Researchers Hid Malware Inside an AI’s Brain


This is straight out of a sci-fi novel. Researchers created a proof-of-concept technique that let them hide malware inside of an AI’s neurons to avoid detection.

According to the paper, in this approach the malware is “disassembled” when embedded into the network’s neurons, and assembled into functioning malware by a malicious receiver program that can also be used to download the poisoned model via an update. The malware can still be stopped if the target device verifies the model before launching it, according to the paper. It can also be detected using “traditional methods” like static and dynamic analysis.

Check It Out: Researchers Hid Malware Inside an AI’s Brain

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Clearview AI’s entire client list stolen in data breach – CNET

  1. Clearview AI’s entire client list stolen in data breach  CNET
  2. Data breach exposes Clearview AI client list  ZDNet
  3. Clearview AI, the controversial facial recognition company, has been breached  Vox.com
  4. Facial recognition app used by more than 600 law enforcement agencies suffers significant data breach  Fox News
  5. Clearview Data Breach Prompts Renewed Calls To Curb Facial Recognition 02/27/2020  MediaPost Communications
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