<p>With CMMC Phase 2 third-party certification paused for a 60-day DOW review, defense contractors still face mandatory Phase 1 self-assessments and rising False Claims Act exposure. This guide breaks down what hasn't changed — NIST SP 800-171 controls, FedRAMP requirements for compliance tooling, and SPRS accountability — and gives security leaders a phase-by-phase checklist to build a defensible, audit-ready compliance program regardless of how the review concludes.</p>
<p>California's Department of Health Care Services (DHCS) had a problem most large agencies face: too many tools, siloed teams, no visibility. Each division was running toward the same mission, providing equitable health care to millions of Californians, but they felt like they were running in different directions.</p>
<p>When Ryan Mosley, Chief of Factory & Engineering Modernization at DHCS, showed leadership how teams were already using Atlassian tools with better collaboration, the decision was clear: standardize on Atlassian Cloud.</p>
<p>The results speak for themselves:</p>
<ul>
<li>$2.2M saved</li>
<li>3x faster project delivery</li>
<li>4,000 users now collaborating on a single cloud platform</li>
</ul>
<p>Teams across IT, business, and programs now have real-time visibility. Decisions are faster, and impact is bigger!</p>
<p>Read the full case study to see how DHCS did it, and how you can achieve similar results for your agency.</p>
<p>Enterprise leaders should apply employee onboarding logic to AI systems: grant only the access the job requires. Enthusiasm for AI's potential tempts leaders otherwise, but AI has no judgment about what it exposes, only a goal to pursue. And that is exactly why the operating assumption has to be to assume breach: if an AI model has access to critical information, there is no guarantee it won't expose it to someone or something it shouldn't.</p>
<p>AI safety, as practiced today, is a myth: a set of software constraints that can be talked around, retrained away, or simply bypassed. The only real option, and where IT capability maturity can be won or lost, is AI containment. And containment that isn't physically enforced isn't containment at all; it's a policy waiting for the right prompt to route around it.</p>
<p>As public sector leaders accelerate their AI strategies, the challenge is no longer whether to adopt AI but how to deploy it securely, responsibly and in ways that produce meaningful mission outcomes.</p>
<p>Download this impact brief now to learn how TTEC Digital and Google Public Sector are helping agencies move beyond experimentation by bringing human-centered, mission-ready AI to resident and service member experiences.</p>
<p>As agencies move quickly to procure solutions and modernize services, an important factor in digital transformation should stay front and center: people. Lasting AI impact depends not just on the technology deployed, but on whether workforces are ready, empowered and trusted to use it.</p>
<p>Download this Impact Brief now to learn how a Deloitte-Google Public Sector partnership can help your agency realize a broad, human-centered approach to modernization, resulting in measurable ROI and lasting mission impact.</p>
<p>See how Anduril uses Chainguard to reduce CVE remediation, meet stringent defense security requirements, and give engineers more time to build and deploy mission-critical software at speed and scale.</p>
<p>See how Chainguard takes the heavy lifting out of federal software security with hardened, signed, SBOM-backed software built to support Zero Trust, cATO, NIST SSDF, and secure software supply chain requirements.</p>
