Major Takeaways:
92% AI misconfiguration -> audit, compliance ?
Non-Human-Identities 50:1 -> more knowledge + tracking
37% encrypted data in enterprises - ONLY (+ Q-Day-Robustness) -> companies have to do better …

Excellent public service information. Thanks IBM, this has been a critical channel this year.

Happens across this video while studying for one of my assignments in my information assurance and privacy class! Thank you for the great resource!

thank you! Great informative report.

This exceeded my expectations.

Absolutely loved this.

right on!

Put an out-of-band, biometrically confirmed authority at the execution boundary of high-consequence action. By securing the execution boundary of your most critical assets first - with a named human confirming every high-consequence action before it completes - unpatched vulnerabilities have nowhere to go. An authorization confirmation layer that sits between intent and consequential action, prevents impersonations, deepfakes, phishing, insider, and AI-initiated attacks from inflicting high-impact and irreversible actions on your business. You neutralise the blast radius before it forms, and your existential risk drops to near-zero immediately. You can then rationalise prioritisation of the patch backlog by actual consequence. Less operational disruption from unplanned downtime, and fewer emergency maintenance windows and weekend deployments, means reduced burnout!

Anthropic is a truly interesting name for such a company.

Good work!

This is missing the other half of the equation:
How likely is a company to experience a breach comparable to those in the IBM study?

Very well explained, we need to be proactive and take action now!, as an active learner and working professional this helps me what to focus on and what not to. Thank you

Nice Video !

Did you run into artifacts sync or Drive permission issues with OpenRouter workflow for startup founders: cheap experimentation with frontier...? I put some cases on my profile.

Better performance whether on chips, supercomputers, mobile phones, or the cloud  isn't solely about faster software. It fundamentally involves a drastic re-evaluation of how hardware performs calculation. Today's digitally driven approach is achieving enhanced performance through a switch to parallelism, moving from serialized to massively parallel, distributed task execution that enables many operations per moment instead of one at a time, dramatically reducing execution latency through improved data dependency, better utilization of hardware resources, and minimizing the critical path to digital circuit completion.

Hardware achieves the speedup by minimizing data dependency while it adds parallelism through hardware design changes like flow transformation, better memory hierarchy, pipelining, utilizing instruction-level parallelism (ILP) and data-level parallelism (DLP), adding replicas of computational resources or specialized hardware (e.g., AI chip, GPU, TPU, FPGA).

Hardware also uses high-bandwidth memory (HBM), cache efficiency, nearer-memory computing, and memory prefetches to mitigate these concerns by fetching data closer to the computation cores or enabling the computation itself to move to data in memory, all to reduce the system bottleneck. The next paradigm in computer is built on this - heterogeneous systems that integrate together high-performance processing units from general-purpose CPUs, GPUs, A.I., Edge, Quantum, and HPC into single processing units. Further AI assistance with Compiler technology (for optimization and analysis), resource scheduling, physical design automation, placement/routing of circuits, and the runtime to adapt the processing for the problem at hand enable us to seamlessly manage, allocate, and balance workload on any type of processing unit with the highest degree of efficiency possible for throughput and energy consumption, and on a large scale. The hardware-software code design of algorithms, system architecture, memory, and resource orchestration becomes the key to unlocking massive increases in computational speed, energy efficiency and overall scalability for our demanding AI driven future including quantum assisted computation, autonomous systems, and the digital twin.

Curious whether AI is actually lowering breach costs or just giving attackers

If I were a bad guy - I might be jolly happy to watch this video :)))
Not that you tell me how to do it - but you tell me its worth trying - since people are not well protected...

Waiting for Mr Smith😢

Mean time to identify is still too high, and phishing as stupid as it can look it is still a very high risk for criminals to deliver their malicious tools for initial access.