Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CISA calls phishing-resistant MFA the standard every organization should be working toward. For DoD components, federal agencies, defense contractors, and other organizations operating at NIST's highest authenticator assurance level (AAL3), that guidance narrows to two paths: FIDO2/WebAuthn, or PKI-based smart cards like CAC and PIV.

Most AI deployment policies stop at approved chat interfaces. Meanwhile, employees install browser copilots, AI extensions, and third-party plugins that never touch Microsoft's management stack. IT can't configure what it can't see, and Group Policy and Intune only govern Microsoft's world. This post covers what actually happens once AI tools show up outside policy, five things most teams miss, and how PolicyPak enforces controls directly on the apps and browser extensions themselves.

AI is changing how products get made. For user experience teams, that means the very shape of the work is changing.

Another Black Hat USA is in the books, and what a week it was. From a main stage keynote at the AI Summit to candid podcast conversations, a video interview with Cyber Defense Magazine, and a booth game that just wouldn’t quit, Mend.io showed up in Las Vegas ready to talk about the question every security leader is wrestling with right now: as AI reshapes both the software we ship and the systems we have to defend, who do we trust to verify that it’s safe?

For fintech companies that move money, store account data, or connect to banking rails, trust must be documented. It cannot just be promised. A SOC 2 Type 2 report is the primary way financial platforms prove their security controls actually work. Demonstrating real fintech security and compliance unlocks enterprise partnerships, closes larger deals, and satisfies vendor security reviews. Banks and payment networks require these reviews before they integrate with you. Free Consultation.

The Internet isn’t a single lane of traffic. For a long time, the rule of thumb in web security was that bots are bad, while humans are good. Of course, we’re far past this generalization. Humans can be fraudulent, and bots can be helpful at different levels. Site owners actively want some automated traffic to interact with our sites to make the Internet functional and discoverable. To complicate things further, the line between "human" and "bot" is blurring more and more.

Most teams shopping for digital risk protection solutions already run three tools at once: one for brand monitoring, one for dark web monitoring, and another for social media defense. The signals don't line up, the alerts pile up, and there’s no single view to show what's exposed. Attackers keep wearing a trusted brand's face, which is why fragmentation matters.

You approve five AI tools; your employees use 20. According to UpGuard's State of Shadow AI report, 81% of the workforce is already bringing unmonitored AI tools to work, and legacy security tools are leaving massive gaps in workforce Shadow AI and regulatory compliance. Modern AI governance platforms give you real-time visibility and runtime guardrails to close that gap. They back it up with automated auditing, so you have evidence when someone asks for it.

If you're staring at a flood of Windows telemetry at 2 AM, the problem usually isn't that the logs are useless. The problem is that nobody turned them into a workflow. Raw Security, System, PowerShell, and Defender events can tell you exactly what happened, but only if collection, parsing, triage, and reporting are handled like part of the same control, not four separate chores.