Quote for the day:
“It is never too late to be what you might have been.” -- George Eliot
Cybersecurity Trends: What's in Store for Defenders in 2026?
For hackers of all stripes, a ready supply of easily procured, useful tools
abounds. Numerous breaches trace to information stealing malware, which grabs
credentials from a system, or log. Automated "clouds of logs" make it easy for
info stealer subscribers to monetize their attacks. ... Clop, aka Cl0p, again
stole data and held it for ransom. How many victims paid a ransom isn't known,
although the group's repeated ability to pay for zero-days suggests it's making
a tidy profit. Other cybercrime groups appear to have learned from Clop's
successes, including The Com cybercrime collective spinoff lately calling itself
Scattered Lapsus$ Hunters. One repeat target of that group has been third-party
software that connects to customer relationship management software platform
Salesforce, allowing them to steal OAuth tokens and gain access to Salesforce
instances and customer data. ... Beyond the massive potential illicit revenue
being earned by these teenagers, what's also notable is the sheer brutality of
many of these attacks, such as data breaches involving children's nurseries
including Kiddo and disrupting the British economy to the tune of $2.5 billion
through a single attack against Jaguar Land Rover that shut down assembly lines
and supply chains. ... Well-designed defenses help blunt many an attacker, or at
least slow an intrusion. Enforcing least-privileged access to resources and
multifactor authentication always helps, as do concrete security practices
designed to block CEO fraud, tricking help desk ploys and other forms of forms
of social engineering.
4 New Year’s resolutions for devops success
“Develop a growth mindset that AI models are not good or bad, but rather a new
nondeterministic paradigm in software that can both create new issues and new
opportunities,” says Matthew Makai, VP of developer relations at DigitalOcean.
“It’s on devops engineers and teams to adapt to how software is created,
deployed, and operated.” ... A good place to start is improving observability
across APIs, applications, and automations. “Developers should adopt an
AI-first, prevention-first mindset, using observability and AIops to move from
reactive fixes to proactive detection and prevention of issues,” says Alok
Uniyal, SVP and head of process consulting at Infosys. ... “Integrating
accessibility into the devops pipeline should be a top resolution, with
accessibility tests running alongside security and unit tests in CI as automated
testing and AI coding tools mature,” says Navin Thadani, CEO of Evinced. “As AI
accelerates development, failing to fix accessibility issues early will only
cause teams to generate inaccessible code faster, making shift-left
accessibility essential. Engineers should think hard about keeping accessibility
in the loop, so the promise of AI-driven coding doesn’t leave inclusion behind.”
... For engineers ready to step up into leadership roles but concerned about
taking on direct reports, consider mentoring others to build skills and
confidence. “There is high-potential talent everywhere, so aside from learning
technical skills, I would challenge devops engineers to also take the time to
mentor a junior engineer in 2026,” says Austin Spires
New framework simplifies the complex landscape of agentic AI
Agent adaptation involves modifying the foundation model that underlies the
agentic system. This is done by updating the agent’s internal parameters or
policies through methods like fine-tuning or reinforcement learning to better
align with specific tasks. Tool adaptation, on the other hand, shifts the focus
to the environment surrounding the agent. Instead of retraining the large,
expensive foundation model, developers optimize the external tools such as
search retrievers, memory modules, or sub-agents. ... If the agent struggles to
use generic tools, don't retrain the main model. Instead, train a small,
specialized sub-agent (like a searcher or memory manager) to filter and format
data exactly how the main agent likes it. This is highly data-efficient and
suitable for proprietary enterprise data and applications that are high-volume
and cost-sensitive. Use A1 for specialization: If the agent fundamentally fails
at technical tasks you must rewire its understanding of the tool's "mechanics."
A1 is best for creating specialists in verifiable domains like SQL or Python or
your proprietary tools. For example, you can optimize a small model for your
specific toolset and then use it as a T1 plugin for a generalist model. Reserve
A2 (agent output signaled) as the "nuclear option": Only train a monolithic
agent end-to-end if you need it to internalize complex strategy and
self-correction. This is resource-intensive and rarely necessary for standard
enterprise applications.
Radio signals could give attackers a foothold inside air-gapped devices
For an attack to work, sensitivity needs to be predictable. Multiple copies of
the same board model were tested using the same configurations and signal
settings. Several sensitivity patterns appeared consistently across samples,
meaning an attacker could characterize one device and apply those findings to
another of the same model. They also measured stability over 24 hours to assess
whether the effect persisted beyond short test windows. Most sensitive frequency
regions remained consistent over time, with modest drift in some paths ... Once
sensitive paths were identified, the team tested data reception. They used
on-off keying, where the transmitter switches a carrier on for a one and off for
a zero. This choice matched the observed behavior, which distinguishes between
presence and absence of a signal. Under ideal synchronization, several paths
achieved bit error rates below 1 percent when estimated received power reached
about 10 milliwatts. One path stayed below 2 percent at roughly 1 milliwatt.
Bandwidth tests showed that symbol rates up to 100 kilobits per second remained
distinguishable, even as transitions blurred at higher rates. In a longer test,
the researchers transmitted about 12,000 bits at 1 kilobit per second. At three
meters, reception produced no errors. At 20 meters, the bit error rate reached
about 6.2 percent. Errors appeared in bursts that standard error correction
could address.
Smart Companies Are Taking SaaS In-House with Agentic Development
The uncomfortable truth: when your critical business processes depend on an AI
SaaS vendor’s survival, you’ve outsourced your competitive advantage to their
cap table. ... But the deeper risk isn’t operational disruption — it’s strategic
surrender. When you pipe your proprietary business context through external AI
platforms, you’re training their models on your differentiation. You’re
converting what should be permanent strategic assets into recurring operational
expenses that drag down EBITDA. For companies evaluating AI SaaS alternatives,
the real question is no longer whether to build or buy — but what parts of the
AI stack must be owned to protect long‑term competitive advantage. ... “Who
maintains these apps?” It’s the right question, with a surprising answer: 1.
SaaS Maintenance Isn’t Free — Vendors deprecate APIs, change pricing, pivot
features. Your team still scrambles to adapt. Plus, the security risk often
comes from having an external third party connecting to internal data. 2. Agents
Lower Maintenance Costs Dramatically — Updating deprecated libraries? Agents
excel at this, especially with typed languages. The biggest hesitancy —
knowledge loss when developers leave — evaporates when agents can explain the
codebase to anyone. 3. You Control the Update Schedule — With owned
infrastructure, you decide when to upgrade dependencies, refactor components, or
add features. No vendor forcing breaking changes on their timeline.
6 cyber insurance gotchas security leaders must avoid
Before committing to a specific insurer, Lindsay recommends consulting an
attorney with experience in cyber insurance contracts. “A policy is a legal
document with complex definitions,” he notes. “An attorney can flag ambiguous
terms, hidden carve-outs, or obligations that could create disputes at claim
time,” Lindsay says. ... It’s hardly surprising, but important to remember, that
the language contained in cybersecurity policies generally favors the insurer,
not the insured. “Businesses often misinterpret the language from their
perspective and overlook the risks that the very language of the policy
creates,” Polsky warns. ... You may believe your policy will cover all
cyberattack losses, yet a look at the fine print may revealed that it’s riddled
with exclusions and warranties that can’t be realistically met, particularly in
areas such as social engineering, ransomware, and business interruption. ...
Many enterprises believe they’re fully secure, yet when they file a claim the
insurer points to the fine print about security measures you didn’t know were
required, Mayo says. “Now you’re stuck with cleanup costs, legal fees, and
potential lawsuits — all without support from your insurance provider.” ... The
retroactive date clause can be the biggest cyber insurance trap, warns Paul
Pioselli, founder and CEO of cybersecurity services firm Solace. ... Perhaps the
biggest mistake an insurance seeker can make is failing to understand the
difference between first-party coverage and third-party coverage, and therefore
failing to acquire a policy that includes both, says Dylan Tate
7 major IT disasters of 2025
In July, US cleaning product vendor Clorox filed a $380 million lawsuit against
Cognizant, accusing the IT services provider’s helpdesk staff of handing over
network passwords to cybercriminals who called and asked for them. ... Zimmer
Biomet, a medical device company, filed a $172 million lawsuit against Deloitte
in September, accusing the IT consulting company of failing to deliver promised
results in a large-scale SAP S/4HANA deployment. ... In September, a massive
fire at the National Information Resources Service (NIRS) government data center
in South Korea resulted in the loss of 858TB of government data stored there.
... Multiple Google cloud services, including Gmail, Docs, Drive, Maps, and
Gemini, were taken down during a massive outage in June. The outage was
triggered by an earlier policy change to Google Service Control, a control plan
service that provides functionality for managed services, with a null-pointer
crash loop breaking APIs across several products. ... In late October, Amazon
Web Services’ US-EAST-1 region was hit with a significant outage, lasting about
three hours during early morning hours. The problem was related to DNS
resolution of the DynamoDB API endpoint in the region, causing increased error
rates, latency, and new instance launch failures for multiple AWS services. ...
In late July, services in Microsoft’s Azure East US region were disrupted, with
customers experiencing allocation failures when trying to create or update
virtual machines. The problem? A lack of capacity, with a surge in demand
outstripping Microsoft’s computing resources.Stop Guessing, Start Improving: Using DORA Metrics and Process Behavior Charts
The DORA framework consists of several key metrics. Among them, Change Lead Time (CLT) shows how quickly a team can deliver change. Deployment Frequency (DF) shows what the team actually delivers. While important, DF is often more volatile, influenced by team size, vacations, and the type of work being done. Finally, the instability metrics and reliability SLOs serve as a counterbalance. ... Beyond spotting special causes, PBCs are also useful for detecting shifts, moments when the entire system moves to a new performance level. In the commute example above, these shifts appear as clear drops in the average commute time whenever a real improvement is introduced, such as buying a bike or finding a shorter route. Technically, a shift occurs when several consecutive points fall above or below the previous mean, signaling that the process has fundamentally changed. ... Sustainable improvement is rarely linear. It depends on a series of strategic bets whose effects emerge over time. Some succeed, others fail, and external factors, from tooling changes to team turnover, often introduce temporary setbacks. ... According to DORA research, these metrics have a predictive relationship with broader outcomes such as organizational performance and team well-being. In other words, teams that score higher on DORA metrics are statistically more likely to achieve better business results and report higher satisfaction.5 Threats That Defined Security in 2025
Salt Typhoon is a Chinese state-sponsored threat actor best known in recent
memory for targeting telecom giants — including Verizon, AT&T, Lumen
Technologies, and multiple others — discovered last fall, targeting the systems
used by police for court-authorized wiretapping. The group, also known as
Operator Panda, uses sophisticated techniques to conduct espionage against
targets and pre-position itself for longer-term attacks. ... CISA layoffs,
indirectly, mark a threat of a different kind. At the beginning of the year, the
Trump administration cut all advisory committee members within the Cyber Safety
Review Board (CSRB), a group run by public and private sector experts to
research and make judgments about large issues of the moment. As the CSRB was
effectively shuttered, it was working on a report about Salt Typhoon. ...
React2Shell describes CVE-2025-55182, a vulnerability disclosed early this month
affecting the React Server Components (RSC) open source protocol. Caused by
unsafe deserialization, vulnerability was considered easily exploitable and
highly dangerous, earning it a maximum CVSS score of 10. Even worse, React is
fairly ubiquitous, and at the time of disclosure it was thought that a third of
cloud providers were vulnerable. ... In September, a self-replicating malware
emerged known as Shai-Hulud. It's an infostealer that infects open source
software components; when a user downloads a package infected by the worm,
Shai-Hulud infects other packages maintained by the user and publishes poisoned
versions, automatically and without much direct attacker input.
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