Security company CrowdStrike has identified five new prompt injection techniques that could leave enterprises at risk. Prompt injections attacks exploit the growing use of AI within organizations . They work by tricking LLMs into accepting instructions that a human operator would recognize as dubious.
The five new types of attack that CrowdStrike has added to its prompt injection taxonomy are:
Trigger-Activated Rule Addition in which an attacker adds a new rule that looks innocuous at first, but can be triggered later to cause strange behavior within the model.
Cognitive Token Suppression,a way to circumvent built-in safety measures by shifting the model’s linguistic choices away from established refusal patterns.
Algorithmic Payload Decomposition,or delivering a message in multiple stages each of which appears innocent but that, when combined, can be assembled into a single command that is more threatening.
Special Token Injection, an attack that can be compared to the embedding of co
For 50 years, SAS has worked alongside organizations tackling some of the world’s most complex challenges. While the technology has changed dramatically, one thing remains constant: our customers’ commitment to solving problems, improving outcomes and making a meaningful difference. In the first half of 2026, we shared 26 new customer [...]
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The investments highlight the urgent need for robust identity solutions to enable secure AI deployment, impacting tech innovation and security.
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The attack on Iran's naval base heightens geopolitical tensions, impacting crypto markets and raising concerns over global economic stability.
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Organizations know AI is important. They’re investing in it, encouraging teams to use it and looking for ways to scale its value. But many organizations are still struggling to turn that priority into governed, scalable action. Leaders are left scrambling to feel confident about whether AI is being used responsibly, creating a widening gap between what leaders want from AI – innovation, efficiency and competitive [...]
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GitHub continues to be a scintillating target for attackers because it sits in the middle of the software supply chain and gives threat actors three things they crave: source code, secrets, and automated pipelines to run amok in.
Datadog Security Research has been tracking what it calls a “sustained pattern” of GitHub API abuse over the past several months that seeks to map organizations and their members. While individually these requests are “unremarkable,” they become dangerous when they move across environments for weeks at a time, and, worse, progress to full-out cloning. The biggest challenge is that they blend into normal API usage patterns.
GitHub has been a goldmine for criminals looking to breach organizations because many development lifecycles are insecure, said David Shipley of Beauceron Security. Typically, threat actors are after API keys and cloud secrets.
“Now with everyone being pushed to do more, faster, with AI agents coding, the treasure trove of secrets is likely
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When Employees Start Working For The Metric Instead Of The Mission getty I never loved taking statistics courses in school, and yet somehow that education influenced me more than I ever expected. I now find myself trying to quantify things I never used to think about. There is tremendous value in being able to predict performance, and many of the tools organizations use help leaders improve results. They rely on performance metrics to evaluate everything from customer satisfaction to productivity. Used well, those metrics help identify problems, reveal opportunities, and support better decisions. Used poorly, they can produce exactly the opposite of what leaders intended. The moment employees understand how their performance will be measured, many begin adjusting their behavior to improve the metric rather than the outcome the metric was designed to represent. I saw that of
The attack exacerbates concerns over Iran's regime stability, influencing prediction markets on potential leadership changes by 2026.
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Anthropic is bringing its Claude Cowork AI agent to web and mobile platforms, a move aimed at helping enterprise users monitor and manage long-running AI-driven tasks from anywhere as organizations increasingly adopt agents for operational and knowledge work.
The rollout, according to the company, is based on an analysis of 1.2 million anonymized and aggregated Claude Cowork sessions conducted between May 11 and May 31 that showed that business process and operations accounted for the largest share of the AI agent’s usage at 33.4%, followed by content creation and copywriting at 16.4%, the company wrote in a blog post.
Software development represented only 8.7% of sessions, ahead of DevOps and infrastructure at 7%, along with research and intelligence at 6.4%, and data analysis and business intelligence (5.8%).
Cowork’s expansion, which is currently in beta, will allow users to start and manage Claude Cowork sessions directly from the Claude interface on the web and mobile, while enabl
