Quote for the day:
"Power should be reserved for weightlifting and boats, and leadership really involves responsibility." -- Herb Kelleher
The quiet data breach hiding in AI workflows
Prompt leaks happen when sensitive data, such as proprietary information,
personal records, or internal communications, is unintentionally exposed through
interactions with LLMs. These leaks can occur through both user inputs and model
outputs. On the input side, the most common risk comes from employees. A
developer might paste proprietary code into an AI tool to get debugging help. A
salesperson might upload a contract to rewrite it in plain language. These
prompts can contain names, internal systems info, financials, or even
credentials. Once entered into a public LLM, that data is often logged, cached,
or retained without the organization’s control. Even when companies adopt
enterprise-grade LLMs, the risk doesn’t go away. Researchers found that many
inputs posed some level of data leakage risk, including personal identifiers,
financial data, and business-sensitive information. Output-based prompt leaks
are even harder to detect. If an LLM is fine-tuned on confidential documents
such as HR records or customer service transcripts, it might reproduce specific
phrases, names, or private information when queried. This is known as data
cross-contamination, and it can occur even in well-designed systems if access
controls are loose or the training data was not properly scrubbed.
The Rise of Security Debt: Your Security IOUs Are Due
Despite measurable improvements, security debt — defined as flaws that remain
unfixed for more than a year after discovery — continues to put enterprises at
risk. Security debt impacts almost three-quarters (74.2%) of organizations, up
from 71% in previous measurements. More frighteningly, half of all organizations
suffer from critical security debt: a dangerous combination of high-severity,
long-unresolved flaws. There's a reason it is described as critical debt: the
longer a security flaw survives within an enterprise, the less likely it will be
resolved. Today, more than a quarter (28%) of flaws remain open two years after
discovery, and even after five years, 9% of flaws still linger in applications.
... Applications are only as secure as the code used to write them, and security
flaws are a fact of life in every code base in the world. That being said, the
origin of the code that is being used matters. Leveraging third-party code has
become standard practice across the industry, which introduces added risks. ...
organizations need the ability to correlate and contextualize findings in a
single view to prioritize their backlog based on context. This allows companies
to reduce the most risk with the least effort. Since the average time to fix
flaws has increased dramatically, programs seeking to improve their security
posture must focus on the findings that matter most in their specific
context.
How to Cut the Hidden Costs of IT Downtime
"Workers struggling with these problems waste productive time waiting for
fixes," said Ryan MacDonald, CTO at Liquid Web. Businesses can reduce these
costs by investing in proactive IT support, automating troubleshooting
processes, and training workers on best practices to prevent repeat problems, he
said. MacDonald explained that while tech failures are inevitable, companies
often take a reactive rather than proactive approach to IT. Instead of
addressing persistent issues at their root, organizations frequently apply
short-term fixes, resulting in continuous inefficiencies and mounting expenses.
... Companies that fail to modernize their systems will continue to experience
recurring IT problems that hinder productivity and increase operational costs.
In addition to upgrading infrastructure, organizations must conduct regular IT
audits to proactively identify inefficiencies before they escalate into major
disruptions. MacDonald stressed the importance of continuous evaluation.
"Regularly scheduled IT audits allow companies to find recurring inefficiencies
and invest money into fixing them before they become costly disruption points,"
he said. Rather than waiting for issues to break, businesses should implement
proactive IT strategies, which can save time, reduce financial losses, and
improve overall system reliability.
A multicloud experiment in agentic AI: Lessons learned
At its core, an agentic AI system is a self-governing decision-making system.
It uses AI to assign and execute tasks autonomously, responding to changing
conditions while balancing cost, performance, resource availability, and other
factors. I wanted to leverage multiple public cloud platforms harmoniously.
The architecture would have to be flexible enough to balance cloud-specific
features while achieving platform-agnostic consistency. ... challenges with
interoperability, platform-specific nuances, and cost optimization remain.
More work is needed to improve the viability of multicloud architectures. The
big gotcha is that the cost was surprisingly high. The price of resource usage
on public cloud providers, egress fees, and other expenses seemed to spring up
unannounced. Using public clouds for agentic AI deployments may be too
expensive for many organizations and push them to cheaper on-prem
alternatives, including private clouds, managed services providers, and
colocation providers. I can tell you firsthand that those platforms are more
affordable in today’s market and provide many of the same services and tools.
This experiment was a small but meaningful step toward realizing a future
where cloud environments serve as dynamic, self-managing ecosystems.
What boards want and don’t want to hear from cybersecurity leaders
A lack of clarity can lead to either oversharing technical details or not
providing enough strategic context. Paul Connelly, former CISO turned board
advisor, independent director and mentor, finds many CISOs focus too heavily on
metrics while the board is looking for more strategic insights. The board
doesn’t need to know the results of your phishing test, says Connelly. Boards
are focused on risks the organization faces, strategies to address these risks,
progress updates, obstacles to success, and whether they’re tackling the right
things. “I coach CISOs to study their board — read their bios, understand their
background, and understand the fiduciary responsibility of a board,” he says.
The goal is to understand the make-up of the board and their priorities and
channel their metrics into risk and threat analysis for the business. Using this
information, CISOs can develop a story about their program aligned with the
business. “That high-level story — supported by measurements — is what boards
want to hear, not a bunch of metrics on malicious emails and critical patches or
scary Chicken Little-type of threats,” Connelly tells CSO. However, it’s not a
one-way interaction, yet many CISOs are engaging with boards that lack the
appropriate skills and understanding to foster meaningful discussions on cyber
threats. “Very few boards have any directors with true expertise in technology
or cyber,” says Connelly.
The future of insurance is digital, intelligent, and customer-first
The Indian insurance sector is undergoing transformative changes, driven by
insurtech innovations, personalised policies, and efficient claim settlements.
Reliance General Insurance leads this evolution by integrating AI, data science,
and automation to enhance customer experiences. According to Deloitte, 70% of
Central European insurers have recently partnered with insurtech, with 74%
expressing satisfaction, highlighting the global trend of technological
collaboration. Emphasising innovation, speed, and customer-centric measures, the
industry aims to demystify insurance, boost its adoption, and eliminate service
hindrances, steering towards a technology-oriented future. ... Protecting our
customer’s data is essential at Reliance General Insurance. To avoid the misuse
of the customer information, the company employs a strong multi-layered security
framework involving encryption, threat intelligence services, and real-time
monitoring. To help mitigate these risks, we also offer cyber insurance
products. ... As much as self-regulatory innovation evokes progressive
strides, risk management becomes paramount in the adoption of insurtech
solutions. Seamlessly integrating new technologies is the objective, and
Reliance General employs constant feedback monitoring to ensure new technologies
meet security and regulatory standards.
Examining the business case for multi-million token LLMs
As enterprises weigh the costs of scaling infrastructure against potential gains
in productivity and accuracy, the question remains: Are we unlocking new
frontiers in AI reasoning, or simply stretching the limits of token memory
without meaningful improvements? This article examines the technical and
economic trade-offs, benchmarking challenges and evolving enterprise workflows
shaping the future of large-context LLMs. ... Increasing the context window also
helps the model better reference relevant details and reduces the likelihood of
generating incorrect or fabricated information. A 2024 Stanford study found that
128K-token models reduced hallucination rates by 18% compared to RAG systems
when analyzing merger agreements. However, early adopters have reported some
challenges: JPMorgan Chase’s research demonstrates how models perform poorly on
approximately 75% of their context, with performance on complex financial tasks
collapsing to near-zero beyond 32K tokens. Models still broadly struggle with
long-range recall, often prioritizing recent data over deeper insights. This
raises questions: Does a 4-million-token window truly enhance reasoning, or is
it just a costly expansion of memory? How much of this vast input does the model
actually use? And do the benefits outweigh the rising computational costs?
IT compensation satisfaction at an all-time low
“We’re going through a leveling of the economy right now,” Sutton said, adding
that during difficult business periods employees crave consistency and
reliability. “There is a little bit of satisfaction and contentment with what is
seen as a stable role.” Industry observers also said that although money is a
critical factor in how appreciated employees feel, unhappiness with one’s IT
role is often a result of other factors, such as changing job descriptions and a
general lack of job security. “Compensation is not the only tool enterprises
have to improve employee experience and satisfaction. Enterprises can make sure
that their employees are focused on work that excites them and they can see the
value of,” Forrester’s Mark said. “Provide ample opportunities for upskilling in
line not just with the technology strategy, but also with employees’ career
aspirations. Ensure that employees feel empowered and have autonomy over
decisions which impact them, and of course manage work-life balance,
demonstrating that organizations do not simply value the work outputs, but the
employees themselves as unique individuals.” Matt Kimball, VP and principal
analyst for Moor Insights and Strategy, agreed that employee sentiment goes well
beyond salary and bonuses.
Amazon Gift Card Email Hooks Microsoft Credentials
The Cofense Phishing Defense Center (PDC) has recently identified a new
credential phishing campaign that uses an email disguised as an Amazon e-gift
card from the recipient’s employer. While the email appears to offer a
substantial reward, its true purpose is to harvest Microsoft credentials from
unsuspecting recipients. The combination of the large monetary value and the
appearance of an email seemingly from their employer lures the recipient into a
false sense of security that leaves them unaware of the dangers ahead. ... Once
the recipient submits their email address, they will be redirected to a phishing
page, as shown in Figure 3. The phishing page is well-disguised as a legitimate
Microsoft login site, once again prompting the victim to input their
credentials. Legitimate Microsoft Outlook login pages should be hosted on
domains belonging to Microsoft (such as live.com or outlook.com), but as you can
see in Figure 3, the domain for this site is officefilecenter[.]com, which was
created less than a month before the time of analysis. Credential phishing
emails such as these are a perfect example of the various ways that threat
actors can exploit the emotions of the recipient. Whether it is the theme of
phish, the content within, or the time of the year, threat actors will utilize
anything they can to make sure you do not catch on until it’s too late.
Driving Sustainability Forward with IIoT: Smarter Processes for a Greener Future
AI-driven IIoT systems are transforming how industries manage raw materials,
inventory, and human resources. In smart factories, AI forecasts demand,
streamlines production schedules, and optimizes supply chains to reduce waste
and emissions. For instance, AI calculates the exact quantity of materials
needed for production, preventing overstocking and minimizing excess. It also
enhances SIOP and logistics by consolidating shipments and selecting
eco-friendly transportation routes, reducing the carbon footprint of global
supply chains. Predictive maintenance, powered by AI, contributes by detecting
equipment issues early, preventing breakdowns, extending lifespan and uptime
while reducing defective outputs. ... IIoT is a key enabler of the circular
economy, which focuses on recycling, reusing, and reducing waste. Automated
systems allow manufacturers to recycle heat, water, and materials within their
facilities, creating closed-loop processes. For example, excess heat from
industrial ovens can be captured and repurposed for heating water or other
facility needs. While sensors monitor production processes to optimize material
usage and reduce scrap, product take-back programs are another cornerstone of
the circular economy.
No comments:
Post a Comment